Munich School of Robotics and Machine Intelligence

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Munich School of Robotics and Machine Intelligence

Munich School ofRobotics and Machine Intelligence


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Content

Foreword 4 Introduction 6

PART I Munich School of Robotics and Machine Intelligence 9 1 Mission Statement 10 2 MSRM: An Integrative Research Center of TUM 12 3 Research Focus at MSRM 14 4 Leadership and Boards 17 5 Lighthouse Initiatives 20 6 Highlights from two years of operations 24

PART II TUMs MSRM Community 29 1 Science Board 30 2 Community 42

Location and Contact 45 Acknowledgements 45 Imprint 47

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Never waste a crisis – this maxim of former U.S. President Barack Obama should be widely adopted. The corona pandemic defies the international community with transgressive challenges of historic proportions. The zero point has been re-calibrated and the future is being re-written. This global break exposes the weaknesses of the world, but it also reveals the potential for social change. The crisis offers a wide range of opportunities to strengthen Germany’s and Europe’s position as a hub for knowledge and business. However, achieving this will require several things: Unconditional courage for innovation in political decision-making, along with the agility and digital leadership of enterprises. Furthermore, an open-minded and responsible society as a solid foundation for a collaborative approach to innovation, together with the creative and transformational power of the world’s leading universities.

Foreword

Prof. Dr. Thomas F. HofmannPresident of the Technical University of Munich

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the top-level Industrial Advisory Board, which is chaired by Prof. Edward G. Krubasik. The board brings along an overwhelming commitment and passion for taking MSRM to the next level.

Almost three years have passed since MSRM’s day zero. Although MSRM is still in its infancy, a highly inspirational force field has been created. In the near future, this will be intellectually enriched by ad-ditional research professorships and the translational AI Mission Institute funded by the Bavarian Government‘s Hightech Agenda. Despite the unprecedented toll of the corona crisis, we can count on massive political support as well as the ongoing commitment of our strong indus-try and research partners. This combined effort presents us with the unique op-portunity to turn MSRM into the leading European center for responsible and re-liable machine intelligence. Never waste a crisis!

Chartered with such a collaborative mission, the Technical University of Munich (TUM) founded the Munich School of Robotics and Machine Intelligence (MSRM) in 2017. As an Integrative Research Center, the school is transcending all technical, departmental and intellectual boundaries. MSRM, led by Prof. Sami Haddadin, has embarked on new paths to make machine-based assistance systems smarter and more responsive. To achieve this, gaps between departments have been bridged. Now, the TUM’s leading competences as well as intellectual and financial resources from Informatics, Mechanical Engineering, Physics, and Electrical and Computer Engineering are connected. MSRM’s integrative research approach combines artificial intelligence, robotics, and perception. It is geared towards real-world applications in such areas as the future of health, work, mobility and the environment. This ambition has been empowered by trustful strategic alliances with leading science and industry partners. In addition, it is supported by


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Cleary, artificial intelligence (AI) and ro-botics faced a technological quantum leap in recent years and made the multi-modal interaction of humans and machi-nes possible, ranging from audiovisual to physical interaction.

With the recent and undoubtedly rapid developments in intelligent software and the wide range of emerging real-world ap-plications, the term artificial intelligence is today often associated and thus limited with its still rather early form of implemen-tation. With the anticipated advances e.g. in perception, collective intelligence and robotics, future research extends in an increasingly accelerated manner towards intelligent agents with an embodiment that purposefully interact with the physi-

Introduction

Prof. Dr. Sami HaddadinFounding Director, Munich School of Robotics and Machine Intelligence

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of us will fundamentally transform our society. Already today, many citizens feel overwhelmed by the Internet and the ubiquitous and seamless interaction via smart devices. Thus, and in particular in times of vast progress and change, it is absolutely crucial for robotics and AI re-search to make sure we place the human at the center of our research, technology development and translation. We must therefore ensure that the mission of our research is to make people the main be-neficiaries of our work, both on a small and large scale. Cutting-edge technical science in close cooperation with the so-cial sciences and humanities can jointly develop trustworthy and ethically accep-ted key technologies that contribute to solving the major challenges of our time.


cal world. This evolution from purely di-gital artificial intelligence to learning-en-abled cyber-physical systems will enable humans to live their future everyday lives with a wide variety of assistive networked machines.

One could even say that the next gene-ration of AI is embodied. This machine intelligence – emerging from the scienti-fic fields of robotics, artificial intelligence and perception – is the science of intel-ligent, adaptive, and networked, artificial systems that extend to the physical world and are able to purposefully interact with humans and the environment. This evo-lution in the relation of humans and ma-chines marks a revolutionary milestone in technology development as both can become true partners.

However, while this grand human-cen-tered vision is our goal, the breathtaking technical advances of the last decades and the presumed ones still lying ahead

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PART I


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PART I

The Munich School of Robotics and Machine Intelligence (MSRM) at the Technical University of Munich (TUM) is an integrative research center in the field of machine intelligence. Research and education at MSRM revolve around the future advancement and

democratization of physically embodied Artificial Intelligence (AI). Linking the interconnected digital world with the physical analog world with networked intelligent machines, the MSRM explores synergistic interactions between people and machines in everyday life.

1 Mission Statement: New approaches to scientific and societal grand challenges

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that reaches far beyond the Munich Me-tropolitan Region. With scientists from a wide range of disciplines and the tight collaboration with institutions in the areas of philosophy, ethics and law, responsible technology development and subsequent integration into society are ensured.

To meet the broad need for scientific and technical talent, MSRM will enable out-standing young researchers to engage in professional exchange at an interna-tional level, empower them to carry out their own research agenda, and achieve a visible effect in the field. MSRM wants to be the number one reference for teaching and education in the design of integra-tive Robotics and AI study programs. MSRM will thus develop a guiding vision and coordinate education programs in Robotics and Artificial Intelligence (MSc, PhD, lifelong learning).

In cooperation with leading scientific ins-titutions and technology companies in the greater Munich area, the innovation hub for robotics and artificial intelligence will be developed and strengthened.

Finding answers to the grand societal challenges of our time in the fields of en-vironment, work, health, and mobility is the driving force behind MSRM‘s research agenda. This agenda is aligned along stra-tegic human-centered research mis-sions that aim to develop the reference AI-algorithm and robot system platforms of tomorrow by tackling the underlying scientific grand challenges including the most complex real world scenarios. Being the crystallization point for re-searchers across the TUM, MSRM will enable the strategic definition and execu-tion of these long-term research missions. This mission-based research approach is supported by aggregating a critical mass of excellent researchers in large scale lighthouse initiatives within research sectors (robotics, AI, perception) and in-novation sectors (work, health, mobility and environment). The goal is to transla-te breakthrough research into real-world applications via field research. The mis-sion-based approach is nurtured and enabled by bottom-up (“blue sky”) focus groups that allow interdisciplinary teams of scientists to team up pursuing high po-tential, fundamentally new approaches.

By creating a collaborative environment for the current world-class research and teaching at one of Europe’s leading uni-versities, MSRM aims to become a crys-tallization point for machine intelligence

1 Mission Statement: New approaches to scientific and societal grand challenges

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PART I

couple of years after its founding, MSRM bundles ex per tise across many facul-ties, including Aerospace and Geodesy, Architecture, Electrical and Information Engineering, Informatics, Education, Go-vernance, Mathematics, Medicine, Me-chanical Engineering, Physics, Sports and Health as well as Civil, Geo and En-vironmental Engineering.

Clearly, MSRM does not only span across classical robotics and AI departments,

The Technical University of Munich (TUM) has founded the Munich School of Robotics and Machine Intelligence (MSRM) as a new Integrative Research Center (IRC). Such IRCs are formed to foster and empower mature interdiscipli-nary fields institutionally as a key player in the new organization of TUM. Scien-tists from various TUM faculties and top international researchers work together under one umbrella and across classical silos of disciplines. Already today, only a

2 MSRM: An Integrative Research Center of TUM

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chen, Deutsches Museum, Deutsches Herzzentrum München, Fraunhofer Ge-sellschaft, DLR, fortiss, bidt, ...) and the excellent national and international com-munities in various dimensions of the TUM family.

such as electrical engineering, computer science and mechanical engineering, but builds bridges to machine intelligence collaborators of the future, such as phy-sics, chemistry, architectural/industrial design, life sciences, and health.

MSRM synergizes this diverse expertise with the know-how of local cooperation partners from politics, society, industry, start-ups and the broader research com-munity (e.g. Helmholtz Zentrum Mün-

2 MSRM: An Integrative Research Center of TUM

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PART I

Research Sectors: AI, Perception, Robotics

Machine Intelligence is the science of exploring intelligent, adaptive and networked, potentially hybrid artificial systems that act, react and interact with people and the environment in a purposeful manner in the physical world. It emerges from the fields of robotics, artificial intelligence and perception and a set of application domains.

In addition to classical robotics and ma-chine intelligence-related disciplines, such as electrical engineering and informati-on technology, mechanical engineering or computer science, these application domains also include areas such as phy-sics and chemistry, architecture / industrial design, or life sciences and health.

The focus of research at MSRM is the for-mation and development of the interdis-ciplinary scientific discipline of machine intelligence. The MSRM focuses on three “research sectors” and four defined “in-novation sectors”.

Accordingly, the MSRM is set up to form the discipline of machine intelligence along all relevant dimensions. From the nano to the meso to the macro scale, concepts of networking, interaction, le-arning and autonomy as well as system design and sensor technology are ex-plored from basic science to real-world application. Through the synergistic use of MSRM competencies, scientific and technological progress is made in so-cietal, industrial and medical applicati-on domains. For example, adaptive and networked robot assistants are being developed for the future industry, autono-mously flying and driving robot teams are being advanced as part of future mobility and medical nanobots and intelligent la-boratories are being developed for future healthcare applications. Thus, the MSRM achieves socially exploitable research re-sults, which are expanded into so-called flagship initiatives for successful applica-tion fields.

3 Research Focus at MSRM

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(1) The Future of Health: Enhancing the healthcare system by creating inclusive, smart medical and nursing services with improved quality for a more independent lifestyle, especially for the elderly, whi-le respecting privacy and cybersecurity issues (including security by design and data integrity). The goal is to create the future AI- and Robotics-supported hospi-tal and nursing home for inclusive optimal medical care, independent living for the elderly and personalized medicine.

Innovation Sectors: Health, Mobility, Work, Environment

The MSRM’s research strategy is purpo-se driven. The so-called MSRM „innova-tion sectors“ revolve around the mission to create application-oriented machine intelligence and robotics for our future society. They build the bridge between groundbreaking AI and robotics systems developed in the research sectors and their ability to answer the societal needs of our time. The four underlying societal missions are as follows:

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PART I

(2) The Future of Work: Ending inhu-mane working conditions through intelli-gent and self-repairing infrastructure that supports productivity and performance for agile production and construction si-tes with easy, integrated maintenance. The goal is to create the future AI- and Robotics-supported self-repairing col-laborative infrastructure, manufacturing and construction site that enables hu-man-centered and efficient operation as well as flexible production.

(3) The Future of Mobility: Laying the foundations to the “Future of Work” and “Future of Health” missions by creating AI- and Robotics-supported sustainab-le mobility solutions tailored to different regional needs through electrifying, auto-mating and interconnecting future trans-portation systems for safe and improved travel. This also includes redesigned mo-bility spaces and holistic mobility con-cepts for high-density urban areas as well as novel approaches for reaching remo-te and potentially dangerous locations, enabling physical on-site interaction th-rough the use of supervised teleoperated mobile robot teams (e.g. for infrastructure maintenance).

(4) The Future of Environment: Helping to protect our natural resources and the planet on which we and future genera-tions live by creating energy-aware/-effi-cient AI and Robotics that help mitigate climate change and environmental de-gradation, e.g. for a sustainable and re-source-efficient food agriculture system while taking environmental conservation into consideration.

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4.2 Science Advisory BoardThe SAB, which is currently being esta-blished, advises on the research orien-tation of MSRM in terms of constructive support and develops recommendations for the strategic and organizational de-velopment of MSRM. In addition, it as-sesses the quality assurance in research. The new SAB will be announced at munich_i during automatica in December 2020.

The science, innovation, cooperation and education strategy of MSRM is de-veloped by the MSRM Science Board.

MSRM is advised by a scientific advisory board (SAB) and an industry advisory board (IAB) with renowned external experts.

4.1 Science BoardThe Research and Innovation Leaders of the MSRM Science Board are responsib-le for the further development of the sec-tor strategy and the setting of thematic priorities. The Education Leaders are re-sponsible for teaching and programmes to promote young talent.

4 Leadership and Boards

MSRM Ambassadors complement the Science Board, forming a link to neigh-bouring disciplines, the wider scientific community, industry and (inter)national politics.

Haddadin

Franklin Rixen

Cheng

Lienkamp

Knoll

EU Politics

& NetworkGER Politics

& NetworkIndustry Healthcare

Research

Steinbach

Knoll

Hirzinger

Cremers

Bengler

Lüth

Diepold

Vogel-Heuser

Buyx

Lüth

Hemmert

Dietz

Burschka

Navab

Cremers

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PART I

4.3 Industrial Advisory Board

Besides maximum scientific excellence, the MSRM aims for effective and high-level knowledge as well as technology transfer across the entire value chain. MSRM has therefore established the MSRM Industrial Advisory Board (IAB) and is proud to have high-level representatives of internationally leading technology companies and institutions as members. Its Chairman is Prof. Dr. Edward G. Krubasik, an experienced former Member of the Siemens Management Board.

Spath

Ploss Schardt MatschiBishop

Hoke Schuster Gaus Hirzinger Curioni

Saueressig

Krubasik

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Helmut Matschi Member of the Executive Board, President Vehicle Networking and Information, ContinentalDr. Reinhard Ploss CEO, InfineonThomas Saueressig Member of the Executive Board and

Leader of the Board area SAP Product Engineering, SAPDr. Peter Schardt CTO, Siemens Healthineers Dr. Gerd Schuster Senior Vice President Research, New

Technologies and Innovations, BMWProf. Dr. Dieter Spath President acatech – National Academy of Science and Engineering

Chairman: Prof. Dr. Edward G. Krubasik Previous Member Corporate Executive Committee, Siemens

Prof. Christopher Bishop, FREng FRS Technical Fellow and Lab Director,

Microsoft Research Cambridge Dr. Alessandro Curioni VP Europe, Director IBM Research –

Zurich Research Laboratory IBMDr. Norbert Gaus Executive VP Head of Research and

Development in Digitalization and Automation, Siemens

Prof. Dr. Gerd Hirzinger Director Emeritus, DLR Robotics and

Mechatronics Center Dirk Hoke CEO, Airbus Defense & Space

With the aim of providing mutual benefit to the MSRM and the industry partners, the IAB advises and supports MSRM along four pillars.

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PART I

A major goal of the MSRM is to achieve societal exploitable research results through effective collaboration within its application domains. Interdisciplinary groups of researchers will gather in focus groups to pursue innovative ideas and concepts from fundamental to applied research.

Within supplementary lighthouse initiati-ves, new technologies developed by the MSRM will be implemented, developed further by companies and tested by end-users. Testing and validating these new technologies in the real world will bring

research results from their application do-mains into immediate use. The first three lighthouse initiatives are:

• Geriatronics• Human-Robot-Collective (AI.Factory)• Autonomous Robot Teams These initiatives are already underway or currently being planned within the MSRM. Leading the way the Geriatronics lighthouse initiative has been established in the Geriatronics Research Center at Garmisch-Partenkirchen in early 2019.

5 Lighthouse Initiatives

3. Autonomous Robot Teams(concept phase)Moving and operating safely on land, in air and through water.

1. Geriatronics(execution phase) Robot assistantsfor self-determined living in old age.

2. Human-Robot Collective (planning phase) 100 workers use 1,000 robots to master 1 million new tasks every day.

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telligent assistance robotics systems for a self-determined life and maintaining mobility in old age. An example of the in-itiatives are the planned trial apartments, where seniors can experience the sup-port offered in a living space equipped with Geriatronics technology.

In summary, this lighthouse initiative sees itself as a supporter and companion of el-derly people and care facilities in overco-ming ever new challenges in everyday life.

The lighthouse initiative ‚Ge-riatronics – Robot Assistants for the Elderly‘, is driven by a team of young researchers that work closely together with seniors and elderly people to enable long-term self-determined living.

Geriatronics is a new term to describe the interplay of robotics, mechatronics, in-formation technology, ma-chine intelligence and 3D technology in combination with geriatrics, gerontolo-gy and nursing. The aim of this research is to enable the elderly to maintain mobility for as long as possible and to facilitate interpersonal interaction and communication. Intuitively operable assistance systems adapt directly to the user and thus enable independence in old age and in case of illness. Another central goal of geriatronics is to relieve the strain on nursing staff in their everyday lives. Support in physically stressful situations is intended to improve the general wor-king situation in the nursing area.The aim is to develop Garmisch-Parten-kirchen into a model community of in-

Lighthouse Initiative Geriatronics

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Dr. Markus Söder Bavarian Minister-President“We live in an age in which technology is rapidly chan-ging the world. One example of what we can achieve with Geriatronics is to enable peo-ple to take care of themselves independently and go about

their daily lives despite physical affliction. A person affec-ted in this manner does not ask philosophical questions about artificial intelligence, but rather wants to know how it can help him or her.”

Ilse Aigner, MdLPresident of the Bavarian State Parliament“We all wish to live a self-determined life into old age. At the Geriatronics Research Center in Garmisch-Parten-kirchen, intelligent assistive robotics systems are being developed for elderly people that will ease and support the process of caring for the elderly in the future. This is innovative and trendsetting. This is what Bavaria needs.”

Geriatronics – Statements

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Elisabeth KochFirst Mayoress Markt Garmisch-Partenkirchen“Geriatronics in Garmisch-Partenkirchen has been a pas-sion project for me from the very first second. The inno-vative and forward-looking technology being worked on in the new Geriatronics Research Center of the Technical University of Munich offers new prospects for life, not only for our older population. It is also the key to success-fully shaping the educational and corporate structure in the entire district.”

Prof. Dr. Wolfgang M. Heckl President Friends of Geriatronics, Director Deutsches Museum and Chair for Scientific Communication, TU Munich“The Geriatronics Research Center is one of the most important and forward-looking developments in the Alp-spitze region. The cooperation of the numerous partners of this lighthouse project – Leifheit Foundation, GaPa community, Deutsches Museum, educational- social and health care institutions – will make it even more important and known.”

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PART I

6 Highlights from two years of operations

· IEEE/ACM William J. McCalla ICCAD Best Paper Award (2012), · the Georges Giralt PhD Award

(2019, 2012), · IEEE Worldhaptics Conference

Best paper award (2009, 2019), · and many more…(3) MSRM brings together numerous

– affiliated PIs which have received a series of important fellow- and memberships during their careers, among them e.g. (this listing does not claim to be exhaustive):

· 2 memberships at acatech – the German Academy of Science and Engineering (since 2010 and 2020),

· 1 IEEE senior fellowship (2020), · 2 IEEE fellowships (2017, 2015), · several Emmy-Noether-Fellow- ships for young scientists of the

DFG, · and many more…(4) The MSRM is contributing to the ex-

pansion of TUM through a Geriatro-nics lighthouse project and research center, which are currently being ex-panded to a model community and TUM campus in Garmisch-Parten-kirchen.

(5) The MSRM was highly involved in strengthening TUM with new AI pro-

Two years of creating a „Culture of Excellence“ at MSRM.In 2020, two years after its founding, the MSRM has proven its excellence with the following progress and visible benefits for TUM and the science location Munich/Bavaria.

(1) The MSRM, as an Integrative Rese-arch Center (IRC), has succeeded in bringing together over 80 Principal Investigators (PIs) and experts of TUM in the seven sectors: Percep-tion, Robotics, AI, Future of Work, Future of Health, Future of Mobility and most recently Future of Environ-ment.

(2) MSRM brings together numerous PIs which have received a series of important (inter-)national awards during their careers, among them e.g. (this listing does not claim to be exhaustive):

· 7 ERC Starting Grants, 6 ERC Consolidator Grants and 3 ERC Advanced Grants

· 3 Gottfried Wilhelm Leibniz prizes of the DFG (2019, 2016, 2015),

· the German Future Prize by Germany‘s Federal President

(2017), · the Helmholtz Professorship prize

(2015), · IEEE/RAS Early Career Award

(2015),

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our efforts in the area of „Future of Health“.

(9) The MSRM is helping to strengthen Bavaria as a leader in science and innovation: our ideas and concepts contributed to the Bavarian High-tech Strategy (2 Bn. Euro), which the Bavarian Minister-President an-nounced at TUM in Garching in Fe-bruary 2020.

(10) The MSRM has been selected to become the nucleus of the Bavarian “AI Mission Institute”, which links re-search and entrepreneurial AI activi-ties via mission-based, purpose-led research and emphases the transfer of knowledge into application.

(11) The MSRM is recognized for „Best Practice“: Project KoBo34, in which a humanoid service robot for the elderly is being developed and tes-ted, was presented by the Federal Ministry of Education and Research at conferences as a model in the field of requirement analysis and acceptance studies (“participatory development”).

fessorships. Approximately 8 out of the 11 AI professorships allotted to TUM from the Bavarian AI Initiative are affiliated with the MSRM. Addi-tionally, one of the three AI profes-sorships that TUM won in the Bava-rian AI Competition was submitted by the MSRM. Moreover, the MSRM has been awarded two new profes-sorships from the Bavarian State budget.

(6) The MSRM created a network of over 800 European PIs in intelligent robotics to propose the joint CEN-TRIS research network of excellen-ce for Horizon 2020. Although the proposal will not be funded by the European Commission, the network will continue to cooperate and is currently under reformation.

(7) The MSRM has created a health network through large-scale initiati-ves of the innovation sector “Future of Health” with important clinical partners such as the TUM Universi-ty Hospital rechts der Isar (MRI), the BG Hospital Murnau (BGU), Helm-holtz and the German Heart Center Munich (DHM).

(8) The MSRM sector “Future of Health” created a cooperative project „Digi-tal Operating Room“ with the Ger-man Heart Center Munich (DHM). Under the leadership of MSRM, this initiative of the Bavarian Minis-ter-President Söder will strengthen

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telligence (European level) and the Enquete Commission on Artificial In-telligence of the German Bundestag. Here, MSRM helped to shape the basic definition for a European AI.

(14) The MSRM is helping to develop the „Munich Manifesto“ in the focus group „Ethics Embodied AI“. We are advocating trustworthy intelligent machines and are strongly connec-ted to the German Ethics Council, as the Chairperson is affiliated with the MSRM.

(15) The MSRM organised the „Jugend Forscht“ regional competition for Munich West for the first time at

(12) The MSRM creates visibility for excellent research: automatica, the world’s leading trade fair for smart automation and robotics, has offe-red the MSRM, as well as its industry and research community, the oppor-tunity to shine. We have been ent-rusted with designing the munich_i Summit and the AI.Society special exhibition at automatica 2020 pro-vided with over 1,000 m2 exhibition space. The expo is now shifted from June to December 2020.

(13) The MSRM is represented in high-le-vel expert groups, including the High Level Expert Group on Artificial In-

May 18 Jun 18 Aug 18 Sep 18 Oct 18 Nov 18 Dec 18 Jan 19 Feb 19 Mar 19 Apr 19 May 19Jul 18

1. IAB Meeting

2. IAB Meeting 3. IAB Meeting –Focus Mobility@MSRM

Mobility@MSRMRoborace Season Alpha

HandoverBuilding

Heßstraße

Health@MSRMKickoff HDT Focus Group

Opening Gala & Scientific Symposium

@Pinakothek der Moderne

Mobility@MSRMMCube Project

Proposal

Publication EC „Ethics Guidelines for trustworthy AI“

Visit Chancellor Merkel

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AI with world-class talents: The ad hoc advisory committee „Robotics and Machine Intelligence“, to which several MSRM PIs contribute, has started the recruitment process to fill new Humboldt Professorships with excellent international candidates.

(19) The MSRM is promoting collabo-ration between TUM and internati-onal top universities by new strate-gic partnerships with the Eurotech Alliance and with Imperial College London, and more to come.

TUM. We are thus promoting the next generation of STEM, robotics and AI talents.

(16) The MSRM is developing a joint MSRM education strategy to of-fer a world-class, international and multi-disciplinary study program at TUM.

(17) First interdisciplinary initiatives were founded: The successful focus group „Human Digital Twin“ (Future of Health) is now applying for a pres-tigious research training grant from the German Research Foundation.

(18) The MSRM is committed to expan-ding TUM in the area of robotics and

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4. IAB Meeting –Focus Work

@MSRM

5. IAB Meeting –Focus Health

@MSRM

6. IAB Meeting –Focus Perception

@MSRM

Hightech Summit

Work@MSRMSummer School

Work@MSRMGeneral Assembly

„Jugend forscht“Regional Competition

@MSRM

Start Cooperationautomatica

Mobility@MSRMRoadshow

Autonomous Driving

Mobility@MSRMVisit Minister Sibler

Health@MSRMAMSEM Graduiertenkolleg

initiatedAnnouncement TUM

„Geriatronik-Campus“Garmisch-P.

Announcement of KI Mission Institute

@MSRM in Hightech Agenda

Dec 19

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PART II

TUMs MSRM Community

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1 Science Board

Prof. Dr. phil. Klaus BenglerWorkKlaus Bengler graduated in psychology at the University of Regensburg in 1991 and received his Doctorate in 1994 in cooperation with BMW. After his diploma he was active on topics of software ergonomics and evaluation of human-machine interfaces. He investigated the influence of additional tasks on driving performance in several studies within EMMIS EU project and in contract with BMW. Multifunctional steering wheels, touchscreens and ACC-functionality are examples for the topics of these investigation. In 1997 he joined BMW. From several projects he is experienced with experimental knowledge and experience with different kind of driving simulators and field trials. At BMW he was responsible for the HMI project of the MOTIV programm a national follow on programm of PROMETHEUS. He was work package leader in an actual EU project Speechdat Car, dealing with voice recognition in vehicles. Within BMW Research and Technology he was responsible for projects on HMI research. He was active as a subprojectleader for subproject 2 “Evaluation und Methodology” within the EU-funded integrated project AIDE. He is active member of ISO TC22 SC13 WG8 „Road vehicles –Ergonomic aspects of transport information and control systems“ and chairman of the German delegation. Since May 2009 he is leader of the Institute of Ergonomics at Technical University Munich which is active in research areas like digital human modeling, human robot cooperation, driver assistance, automated driving and human reliability. Among intensive industrial cooperation the Institute is engaged in the funded Projects DH-Ergo on Digital Human Modeling and ECOMOVE on anticipative driving and H-Mode or D3COS on highly automated and cooperative driving. He is project leader in the German research initiative UR:BAN that investigates the potential of driver assistance and active safety systems in the urban area.

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TUMs MSRM Community

Prof. Dr.-Ing. Darius BurschkaRoboticsProf. Burschka (b. 1966) conducts research into sensor systems in robotics and human-machine interfaces. Video-based navigation is one of his particular interests. This involves simulation of complex sensor systems through the analysis and fusion of sensor properties of physical sensor units and 3D reconstruction from the fusion of multimodal sensor data.After completing his studies in electrical engineering and his doctorate (1998) at TUM, Prof. Burschka became a postdoctoral researcher at Yale University, New Haven, USA. There, he made advancements in the development of laser-based map generation and position tracking. After that, he worked as an associate research scientist at Johns Hopkins University, Baltimore, USA. His research topic was sensor-based navigation and 3D reconstruction (1999-2005). He was appointed assistant research professor at the university in 2003. Since 2005, Prof. Burschka has held the position of associate professor of robotics and embedded systems at TUM. He works closely with the Institute for Robotics and Mechatronics of the German Aerospace Center (DLR) in Oberpfaffenhofen.

Prof. Dr. Gordon ChengPerceptionProfessor Cheng (b. 1968) researches the fundamental understanding and construction of cognitive systems. He studies ways to combine widely diverse capabilities in multipurpose high-performance robots and develops natural communication mechanisms in order to improve the application friendliness of robots. Professor Cheng studied information sciences at Wollongong University (Australia) and was awarded a doctorate in systems engineering in 2001 at the department of systems engineering of the Australian National University. He founded the department of humanoid robotics and computational neuroscience at the

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Institute for Advanced Telecommunications Research in Kyoto (Japan), where he was Department Head from 2003 to 2008. In addition, from 2007 to 2008 he was a project manager at the National Institute of Information and Communications Technology (Japan) and the Japan Science and Technology Agency, where he was responsible for the Computational Brain project (2004-2008). Since 2010, Professor Cheng has been conducting research and teaching at TUM as a full professor of cognitive systems. He is coordinator of the Center of Competence Neuro-Engineering in the Department of Electrical and Computer Engineering and speaker of the newly established Elite Master of Science program in Neuroengineering (MSNE) of the Elite Network of Bavaria.

Prof. Dr. Daniel CremersArtificial IntelligenceDaniel Cremers studied physics and mathematics in Heidelberg, Indiana and New York. He received a PhD in Computer Science (2002) from the University of Mannheim, Germany. Subsequently he spent two years as a postdoctoral researcher at the University of California at Los Angeles (UCLA) and one year as a permanent researcher at Siemens Corporate Research in Princeton, NJ. From 2005 until 2009 he was associate professor at the Univer-sity of Bonn. Since 2009 he holds the Chair of Computer Vision and Artificial Intelligence at the Technical University of Munich. His publications received numerous awards, including the ‚Best Paper of the Year 2003‘ (Int. Pattern Recognition Society), the ‚Olympus Award 2004‘ (German Soc. for Pattern Recognition) and the ‚2005 UCLA Chancellor‘s Award for Postdoctoral Rese-arch‘. For pioneering research he received five grants from the European Research Council, including a Starting Grant (2009), aConsolidator Grant (2015) and an Advanced Grant (2020). Pro-fessor Cremers has served as associate editor for several jour-nals. In 2018 he organized the largest ever European Conference on Computer Vision in Munich with over 3300 delegates. He is

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member of the Bavarian Academy of Sciences and Humanities. He is honorary member of the Dagstuhl Scientific Directorate. In December 2010 he was listed among „Germany‘s top 40 rese-archers below 40“ (Capital). On March 1st 2016, Prof. Cremers received the Gottfried Wilhelm Leibniz Award, the biggest award in German academia. He is co-founder of several companies, most recently the high-tech startup Artisense.

Prof. Dr.-Ing. Klaus DiepoldArtificial IntelligenceProfessor Diepold (b. 1961) conducted research in the field of multimedia signal processing with a focus on the design of fast algorithms. Today, he concentrates on machine learning, which entails developing moral machines as well as modeling and simulating effects for cognitive systems. He is also actively involved in entrepreneurship training for students from all departments at the Center for Digital Technology and Management (CDTM) and promotes entrepreneurship within his own department.After studying electrical engineering and information technology and completing his PhD (1992) at TUM, Professor Diepold developed video compression systems and MPEG standards (MPEG-4, MPEG-A) in industry. In 2002, he accepted the Chair of Data Processing at TUM, where he served as Dean of Studies from 2005–10. Visiting professorships took him to Alberta, Canada and NICTA, Australia. Prof. Diepold is a member of CDTM’s supervisory board and was on the board of management of the cluster of excellence Cognition for Technical Systems (CoTeSys) from 2006-14. From 2013–15, Professor Diepold served as TUM‘s Senior Vice President for Diversity and Talent Management. In 2018, the web video series “Technically Single” which he had initiated aired nationwide.

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Prof. Dr. David FranklinEducationProf. David Franklin investigates the physiological and computa-tional principles of human neuromuscular motor control. His re-search examines how the nervous system controls the mechani-cal properties of the body to adapt to our external environment and produce skilful movement. To examine the computations underlying sensorimotor control, he blends computational and experimental approaches including robotics and virtual reality.Prof. Franklin studied human physiology and was awarded a doctorate in neuroscience in 2005 from the Department of Ki-nesiology at Simon Fraser University (Canada). He worked as a researcher at the Institute for Advanced Telecommunications Research (Kyoto, Japan) from 1999 to 2006. He then spent 3 years as a research associate in the Department of Engineering at the University of Cambridge (U.K.). In 2010 he was awarded a Wellcome Trust RCD Fellowship and became a research fel-low at the University of Cambridge. He has been an associate professor of Neuromuscular Diagnostics at TUM since 2016.

Prof. Dr. Sami HaddadinFounding DirectorProf. Sami Haddadin is Director of the Munich School of Robotics and Machine Intelligence at the Technical University of Munich (TUM) and holds the Chair of Robotics and System Intelligence. Prof. Haddadin was Chair of the Institute of Automatic Control at Gottfried Wilhelm Leibniz Universität Hannover from 2014 to 2018. Prior to that, he held various positions as a researcher at DLR. He holds degrees in electrical engineering, computer science and technology management from the Technical University of Munich and the Ludwig Maximilian University of Munich. He received his PhD summa cum laude from RWTH Aachen University. He has published more than 200 scientific articles in international journals and conferences. He has received numerous national and international awards for his scientific work, including the

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Alfried Krupp Award for Young Professors (2015), the German Future Prize of the Federal President (2017) and the Leibniz Prize (2019). He is a member of the national academy of technical sciences acatech. He is a member of the Enquete commission AI of the German Parliament and the High-Level Expert Group on AI of the European Commission. Prof. Haddadin is the founder of Franka Emika GmbH (Munich, 2016). During his time as at DLR, he played a major role in the development of the lightweight robot technology, which became the KUKA LBR iiwa in technology transfer.

Prof. Dr.-Ing. Werner HemmertHealthAs part of his research activities, Prof. Hemmert (b. 1964) explores the principles of information processing in the auditory system. Through his work, he develops novel approaches for the advancement of neuroprosthetics. His research is characterized by a combination of theoretical concepts and experiments and he relies on close collaboration with workgroups from the fields of biology and medicine as well as industry representatives.After studying Electrical and Computer Engineering at TUM, he went to work at the Tübingen Hearing Research Center (1991-1998). During that time, he studied the micromechanics of the inner ear, which was the basis for his doctorate, which he received from Ruhr-Universität Bochum in 1997. After that, he conducted research at the Massachusetts Institute of Technology (1998-2000), IBM Research – Zurich (2000-2001) and Infineon Technologies, Corporate Research (2001-2007). Prof. Hemmert is a member of the German Acoustical Society (DEGA), the Association for Research in Otolaryngology and the Graduate School of Systemic Neurosciences. He is also a senior member of the IEEE.

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TUM Prof. Dr.-Ing. Alois Knoll

MobilityProf. Alois C. Knoll is a German computer scientist and has been professor at the Faculty of Computer Science at the Technical University of Munich since 2001. He teaches and conducts research in the fields of autonomous systems, robotics and artificial intelligence.Between 2007 and 2009, he was a member of the EU‘s highest advisory board for information technology ISTAG. He was involved in the development of the EU flagship projects, and was one of the authors of the report “European Challenges and Flagships 2020 and Beyond”.In 2009, he co-founded “fortiss”, the Munich Institute for Software and Systems, which, due to its success, has since been transformed into a state institute of the State of Bavaria.He coordinated the EU project ECHORD++, a major initiative with the aim of bringing new robot technology to market maturity. Since 2013, he has been head of the sub-project “Neurorobotics” of the Human Brain Project. Since 2015, he has been director of software development, i.e., one of three scientific directors of the HBP. He is a senior member of the IEEE, a member of the German Society of Informatics and a Fellow of the School of Engineering of the University of Tokyo (2010).

Prof. Dr.-Ing. Markus LienkampMobility Prof. Lienkamp (b. 1967) researches and teaches in the following areas: electromobility with the aim of developing new vehicle concepts, driver assistance systems and automated driving, as well as mobility data and mobility concepts. He is Director of Research at TUM’s Munich School of Engineering, the Science Center for Electromobility and the CREATE project in Singapore.After studying mechanical engineering at TU Darmstadt and Cornell University, Prof. Lienkamp did his doctorate at

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TU Darmstadt (1995). He worked at Volkswagen as part of an international trainee program and played a role in a joint venture between Ford and Volkswagen in Portugal. Returning to Germany, he led the brake testing department in the VW commercial vehicle development section in Wolfsburg. He later became head of the “Electronics and Vehicle” research department in Volkswagen AG’s Group Research division. One of his main priorities there was developing vehicle concepts for electromobility. Prof. Lienkamp started lecturing at TUM’s Chair of Automotive Technology in November 2009.

Prof. Dr. Tim LüthRoboticsProfessor Lüth studied electrical engineering at Darmstadt Uni-versity of Technology until 1989. In 1993, he obtained his docto-rate at the University of Karlsruhe with a thesis on robot manu-facture. In 1994/1995, he was visiting professor at the Japanese robotics research institute ETL of MITI-AIST. He completed his lecturer qualification in computer science at the University of Karlsruhe in 1997. In the same year, he was appointed associate professor of clinical navigation and robotics at the Charité institu-te of Humboldt University Berlin. In 2001, he became a full profes-sor in Berlin and received the newly created Chair of Mechatronic Medical Technology, an institute jointly organized by Charité and the Fraunhofer Society. In 2005, Prof. Lüth was appointed full professor at TUM at the Chair of Micro Technology and Medical Device Technology. Tim Lüth was appointed Adjunct Professor at the University of Toronto in 2007 and was nominated as one of the top 3 inventors in the Lifetime Achievements category of the European Patent Office in 2007. He was elected to the National Academy of Science and Engineering acatech in 2010 and to the Scientific Advisory Board of the Alfried Krupp Foundation (main shareholder of Tyssen-Krupp AG) in 2017. Since 2018 he is a

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Fellow of the University of Tokyo. Tim Lüth himself has been a founder and shareholder of high-tech companies for more than 30 years and is author and coauthor of about 350 publicatins in the field of robotics, medical devices and 3D printing.

Prof. Dr. Nassir NavabHealthProf. Nassir NAVAB is a full Professor and Director of the Laboratory for Computer Aided Medical Procedures, Technical University of Munich. He also has secondary faculty appointments at TUM’s Medical Schools. He is also a part time (20%) research professor at Johns Hopkins University with secondary affiliation to its medical school. Nassir is the author of hundreds of peer reviewed scientific papers, with more than 32600 citations and an h-index of 84 as of June 15, 2020. He completed his PhD at INRIA and University of Paris XI, France, and enjoyed two years of post-doctoral fellowship at MIT Media Laboratory before joining Siemens Corporate Research (SCR) in 1994. At SCR, he was a distinguished member and received the Siemens Inventor of the Year Award in 2001 before joining TUM in October 2003. He received the SMIT Society Technology award in 2010 and the ‘10 years lasting impact award’ of IEEE ISMAR in 2015. In 2012, he was elected as a Fellow of the MICCAI Society. He has acted as a member of the board of directors of the MICCAI Society, 2007-2012 and 2014-2017, and serves on the Steering committee of the IEEE Symposium on Mixed and Augmented Reality (ISMAR) and Information Processing in Computer Assisted Interventions (IPACI). He is author of more than thirty awarded papers including 11 at MICCAI and 3 at IEEE ISMAR. He is the inventor of 49 granted US patents and more than 50 international ones. His current research interests include medical robotics, machine learning, augmented reality, multimodal imaging and computer-assisted interventions.

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Prof. Dr. Daniel J. RixenEducationProfessor Rixen has worked for more than twenty five years on theoretical, numerical and experimental aspects of the dynamics of structures and systems. His activities encompass simulations and measurements of vibrations as well as domain decomposi-tion for parallel computing, modelling of multiphysical systems and model reduction techniques. Since 2012, he is also heavily involved in the planning and control of robots and mechatronical systems. Developments are pursued in collaboration with aca-demic partners and industry in domains such as aeronautics and aerospace, automotive, mechatronics, wind energy, microsys-tems or medical instruments. Professor Rixen, (b. 1967) received his engineering degree (elec-tro-mechanics) from the University of Liège (ULg, Belgium) and an MSc degree in Aerospace Vehicle Design from the College of Aeronautics in Cranfield (UK). He obtained his doctorate degree from ULg in 1997. After a research assistantship at the Center for Aerospace of the University of Colorado (USA), in 2000 he became a full professor at Delft University of Technology (The Netherlands) where he held the Chair of Engineering Dynamics. Since 2012, he has served as the head of the Chair for Applied Mechanics at the School of Engineering and Design of TUM.

Prof. Dr.-Ing. Eckehard SteinbachPerceptionProfessor Steinbach (b. 1969) and his team research fundamental methods for and applications of audio-visual-haptic information processing and transmission. The current focus of his activities are mobile multimedia communication, haptic data compression, indoor localization, and machine learning-based analysis of visual and haptic information.After studying electrical engineering at the University of Karlsruhe, the University of Essex and ESIEE in Paris, he was awarded a doctorate in 1999 at Friedrich-Alexander University

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of Erlangen-Nuremberg. From 2000 to 2002, he conducted research at Stanford University, initially as a post-doc and later as a consulting assistant professor. In 2002, he was appointed to the position of associate professor of Media Technology at TUM. Since 2009, he has held the Chair of Media Technology there. As the Dean of Studies of the Department of Electrical and Computer Engineering, he is responsible for the study programs of his department. Professor Steinbach is a Fellow of the IEEE.

Prof. Dr.-Ing. Birgit Vogel-HeuserWorkProf. Vogel-Heuser‘s (b. 1961) main research interests are systems and software engineering and modeling of distributed, reliable embedded systems. Her research focuses on the challenges resulting from increasing demand to produce customer-specific products in the plant manufacturing domain. Her other research interests include engineering and education of hybrid processes and heterogeneous distributed and intelligent systems as well as machine-learning algorithms using a human-centered approach where the whole life cycle of products and production lines is considered.”Prof. Vogel-Heuser received her Dipl.-Ing. degree in electrical engineering in 1987 and her Dr.-Ing. degree in mechanical engineering in 1990 from the RWTH Aachen, Germany. She acquired industrial experience over ten years, including a position as manufacturing director for the Siempelkamp Group. After various professorship positions in Hagen, Wuppertal, and Kassel, she was appointed to the Chair of Automation and Information Systems at TUM in 2009. She was speaker of the DFG Collaborative Research Centre 768 „Managing cycles in innovation processes,“ member of the coordination board of the DFG Priority Program 1593 „Design for Future,“ and is member of the National Academy of Science and Engineering (acatech).

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Prof. Johannes FottnerProf. Helmut FriessProf. Julien GagneurProf. Michael GeeProf. Stephan GünnemannProf. Oliver HaydenProf. Reinhard HeckelProf. Wolfgang HecklProf. Bernhard HemmerProf. Joachim HermsdörferProf. Sandra HircheProf. Florian HolzapfelDr. Simon JacobProf. Wolfgang KellererProf. Jan S. KirschkeProf. Gudrun KlinkerProf. Felix Krahmer

Prof. Alin Albu-SchäfferProf. Matthias AlthoffProf. Stefan BaubergerProf. Jan BaumbachProf. Thomas BockProf. Felix BrandtProf. Hans-Joachim BungartzProf. Rainer BurgkartProf. Martin BussProf. Alena BuyxProf. Marco CaccamoProf. Rainer CalliesProf. Eugenia da Conceição-HeldtProf. Hendrik DietzProf. Rüdiger Eisenhart-RotheProf. Hubertus FeussnerProf. Massimo Fornasier

In addition to the Sector Leads mentioned above the MSRM Community further con-sists of over 60 TUM principal investigators (as of June 2020).

MSRM Community in alphabetical order:

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Prof. Helmut KrcmarProf. Bernhard KüsterProf. Laura Leal-TaixéProf. Dongheui LeeProf. Sabine MaasenProf. Jakob MackeProf. Bernhard MeyerDr. Olivia Mitscherlich-SchönherrDr. Ali NasseriProf. Matthias NießnerProf. Vasilis NtziachristosProf. Alexander PretschnerProf. Gunther ReinhartProf. Gerhard RigollProf. Burkhard RostProf. Markus SchwaigerProf. Ansgar Schwirtz

Prof. Bernhard SeeberProf. Veit SennerProf. Friedrich SimmelProf. Karsten StahlProf. Sebastian SteinhorstProf. Fabian TheisProf. Michael UlbrichProf. Wolfgang WallProf. Ulrich WalterProf. Rüdiger WestermannDr. Dirk WilhelmProf. Bernhard WolfrumProf. Michael ZähProf. Majid ZamaniProf. Markus Zimmermann

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Technical University of MunichMunich School of Robotics and Machine Intelligence(MSRM)

Heßstrasse 13480797 MunichGermany

+49 (89) 289 - [email protected]

Heßstraße

Lothstraße

Dachauer Straße

Location and Contact

Acknowledgements

Stefanie Götz, Isabelle Haag, Nicole Ebner, Marina Behr, Olivia Schmitt-Walter, Dr.-Ing. Maria Danninger, Dr.-Ing. Jan Harder, Elisabeth Jensen, PhD, Peter So

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Imprint

Publisher (V.i.S.d.P.) Technical University of MunichMunich School of Robotics and Machine Intelligence

Editors Prof. Bengler, Prof. Burschka, Prof. Cheng, Prof. Cremers, Prof. Diepold, Prof. Franklin, Prof. Haddadin, Prof. Hemmert, Prof. Knoll, Prof. Lienkamp, Prof. Lüth, Prof. Navab, Prof. Rixen, Prof. Steinbach, Prof. Vogel-Heuser

Layout Birgit Schwintek

Texts and pictures were provided by the respective organizers.

Contact Technical University of MunichMunich School of Robotics and Machine IntelligenceHeßstrasse 134 | 80797 Munich | [email protected]

Munich, 17 June 2020

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Munich School of Robotics and Machine Intelligence