Aerial, Terrestrial and Aquatic Microbots by Wood

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    aerial, terrestrial, and aquatic microrobots

    Robert J WoodSchool of Engineering and Applied Sciences

    Harvard [email protected]

    http://www.eecs.harvard.edu/~rjwood

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    Primary argument

    For untethered and autonomous applications,the performance of a robotic system (P),

    whether defined by capability or robustness, canbe related to an agents intelligence (I), mobility(M), and multiplicity (N):

    ( ),NfMIP

    ( ) ( ) { } + RnNfNMI :,,...2,1,0,1,0,1,0

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    Secondary argument

    No biological subsystem should be viewed asglobally optimal. Evolution produces systems

    that are good enough for a given task. Thereare typically multiple functions for any givenorgan/structure.

    Instead, biological systems should be examinedto extract the guiding principles. These can beused in conjunction with the best engineering

    techniques to produce biologically inspired, notbiomimicry

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    Third argument

    To achieve high performance with power andprocessor limited systems, rigorous mechanical

    design is imperative! Control of nonlinear, non-holonomic, underactuated

    dynamical systems is hard for systems with low MIPS

    or MIPS/mW To minimize any control challenges, we should focus

    on minimizing the complexity and loss of mechanicalsystems.

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    Outline

    Example Micro Air Vehicles Example ambulatory microrobots Example bioinspiration: Insect Aerodynamics

    Microrobot Overview The Berkeley MFI The Harvard Microrobotic Fly RoBlatt

    Mechanical challenges A mechanical solution: new fabrication paradigm Mechanical building blocks:

    exoskeleton, transmission, actuation, and airfoils

    Results 0.1g MFI 0.06g Harvard Microrobotic Fly

    2g fixed wing MAV 3g crawling microrobot

    Next steps Power Sensors Future challenges

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    Flapping wing micro air vehicles

    Caltech Microbat

    11.5g, 8in

    Vanderbilt Piezoelectric actuators

    Dynamically tuned

    University of Delaware ornithopterhttp://touch.caltech.edu/research/bat/bat.html

    http://fourier.vuse.vanderbilt.edu/cim/faculty/goldfarb.htmhttp://mechsys4.me.udel.edu/research/birdproject/

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    Ambulatory microrobots

    MEMS

    Ebefors

    Berkeley

    Macro-robotics

    Case Western Whegs

    Vanderbilt

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    Dipteran parameters: 3DOF wings

    Large stroke plane flapping

    pronation/supination Stroke plane deviation

    Wing beat frequency: 50-1000Hz Weight: 1mg-1g

    Unsteady aerodynamics and thebasis of insect flight1

    1Dickinson, et al, Science, 1999

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    Biological insights Use of mechanical amplification Stroke plane deviation not essential

    Tuned resonance for efficiency Power actuators and tuning actuators

    Open questions Aeroelastic wing compliance?

    Passive or active rotation? Recreate wing hinge? Power?

    Sensing/electronics/control?

    Some things we can do better thannature, other things we cannot

    Unsteady aerodynamics and thebasis of insect flight

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    Overview: The BerkeleyMicromechanical Flying Insect

    2 wings, 4 total actuated DOFs 100mg, >200Hz

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    Overview: The Harvard Microrobotic Fly

    2 wings, 1 actuated DOF 2 passive 60mg, 120Hz

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    Mechanical challenges

    Challenges: As size decreases, surface forces dominate

    Cannot use gears, rotary joints, sliding joints

    MEMS materials brittle and cost-prohibitive, macro-roboticsystems too massive

    The wing hinge will need to rotate through >100at highfrequencies

    Solutions: Frictionless flexure hinges

    Control surface manipulation

    Power transmission

    Rigid robotic links Tensegrity exoskeletons/airframes

    Electroactive motors & control surface manipulation

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    Fabrication capabilities

    We seek a fabrication method that will give us basicbuilding blocks for these meso-scale devices

    Feature sizes from micron to centimeter Not only build these subsystems, but they must be comparable

    larger-scale devices

    The solution is called Smart Composite Microstructures

    Coupled with MEMS/NEMS (Harvard CNS) andtraditional machining, we can cover almost 10 orders ofmagnitude in fabrication

    CNS SCM macro

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    Microrobotics using composite materials(smart composite microstructures)

    Rigid links and compliant flexures2:

    2Wood et al, ICRA, 20033Wood et al, Sensors and Actuators A, 2004

    Actuation/control surface manipulation Process with electroactive materials3:

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    Laser micromachining

    Versatility: composites, polymers, ceramics, metals

    Spot (feature) size < 5m

    LMS-600, TeoSys4

    4www.teosys.com

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    Building blocks: exoskeletons

    Rigid microstructures based upon tensegrity

    Created using unidirectional composite prepreg

    Cured flat, released and folded, joints frozen

    Extremely rigid, lightweight airframes

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    Building blocks: actuation and controlsurface manipulation

    Ultra-High Energy Density

    Piezoelectric Bending Actuators

    Integrating into SCM

    1mg-1g (very scalable) ~2Jkg-1

    50 times greater energydensity than best

    commercially available

    counterpart!

    >400Wkg-1

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    For one wing: thorax consists of 2 actuators,2 slider-cranks, 2 parallel fourbars, aspherical fivebar differential, and a wing

    15 joints per wing, 30 total

    SCM is enabling!

    MFI thorax

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    For two wings, 10 joints total

    Very simple transmission

    SCM is enabling!

    Harvard Microrobotic Fly thorax

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    Building blocks: airfoils

    Current wings:

    13-16mm long, AR 3-4

    UHM carbon veins, 1.5m polyester membrane

    We can create wings with any level of compliance or rigidity (andisotropy), but what is ideal?

    passive rotation w/ joint stops

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    Total of 3DOF, >+/-50flapping,+/-50rotation, 120Hz, 60mg,FL(mg)

    -1 >1!

    SCM is enabling!

    Initial results from the HarvardMicrorobotic Fly

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    Initial results from the HarvardMicrorobotic Fly

    Guide wires restrict the fly to purely vertical motion

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    2g autonomous glider

    Two control surfaces, onboard power,control, sensing

    Molded composite airfoil, control surfaces

    SCM is enabling!

    A Fixed Wing MAV: MicroGlider5

    5Wood et al, Robotics & Automation Magazine, 2007

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    Ambulatory microrobots

    Initial versions:

    3g crawler with tripod gait 50mg 2DOF leg

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    Microrobotic fish

    Actuation and morphology

    Controlling angles between adjacent links or controlling

    individual link curvatures

    (a) SCM-based (b) IPMC-based

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    Power

    Current COTS Li-Poly batteries

    Power electronics: Electrically resonant systems are difficult at this frequency and size

    Charge pump?

    Energy harvesting?

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    Simple sensors: ocelli

    Four photodiodes in an inverted pyramid configuration Work so long as:

    Light intensity independentof longitude

    Light intensity monotonically decreasingfunction of latitude

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    Simple sensors: halteres

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    Haltere morphology

    Anti-phase to the wings at the wingbeat frequency

    Sweep through an angle of 180

    Two non-coplanar halteres will detect rotations about all three axes

    Several hundred sensillae at the haltere base sense the Coriolis force

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    Fabrication & results

    Haltere connected to output of four bar mechanism

    Beam in the plane of haltere beating provides compliance to lateralforces

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    75106025

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    Future challenges

    1. Low Re thrust optimization (flying and swimming)

    2. Further sensor development and packaging

    3. Power source/energy harvesting4. Control:

    Stabilization (low level)

    Swarm intelligence (decentralized control)

    5. Further mechanism miniaturization and optimization

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    applications

    Surveillance

    Search & rescue

    Reconnaissance Planetary exploration

    Environmental monitoring

    Agents for swarm experimentation

    In vivo diagnosis/minor procedures

    Hazardous environment exploration

    Humanitarian demining/IED detection

    Controlled biomechanics experiments Structural maintenance, inspection, repair

    Sensor placement, mobile sensor networks