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ECE 495 – Integrated System Design I Overview of the Intelligent Systems (IS) Focus at Clemson Tim Burg Department of Electrical and Computer Engineering Clemson University

ECE 495 – Integrated System Design I Overview of the Intelligent Systems (IS) Focus at Clemson Tim Burg Department of Electrical and Computer Engineering

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Page 1: ECE 495 – Integrated System Design I Overview of the Intelligent Systems (IS) Focus at Clemson Tim Burg Department of Electrical and Computer Engineering

ECE 495 – Integrated System Design I

Overview of the Intelligent Systems (IS) Focus at Clemson

Tim Burg

Department of Electrical and Computer Engineering

Clemson University

Page 2: ECE 495 – Integrated System Design I Overview of the Intelligent Systems (IS) Focus at Clemson Tim Burg Department of Electrical and Computer Engineering

ECE 495 – Integrated System Design I

Defining an Intelligent System

SystemElectricalBiological ChemicalMechanical Robotic

Output

ControllerComputingControl Algorithm

LinearNonlinear

SensingVisionEstimation

Page 3: ECE 495 – Integrated System Design I Overview of the Intelligent Systems (IS) Focus at Clemson Tim Burg Department of Electrical and Computer Engineering

ECE 495 – Integrated System Design I

Core Expertise in Intelligent Systems

Tim BurgHapticsBiofabrication

Richard GroffMagnetic Fiber Control

Ian WalkerSoft Robots

Stan BirchfieldVision Processing

Ian WalkerSoft Robots

Darren DawsonNonlinear Control

Page 4: ECE 495 – Integrated System Design I Overview of the Intelligent Systems (IS) Focus at Clemson Tim Burg Department of Electrical and Computer Engineering

ECE 495 – Integrated System Design I

Interesting Haptic Result

• Dynamic touch - use of muscle sensitivity to perceive mechanical properties of objects that are wielded in space.

• Can lift a coffee cup by its handle to estimate the volume

– Attunement - user converges on perceptual variables that are correlated with the perceived property

– Calibration - learning of the correct scaling factor for specifying variables through feedback

Page 5: ECE 495 – Integrated System Design I Overview of the Intelligent Systems (IS) Focus at Clemson Tim Burg Department of Electrical and Computer Engineering

ECE 495 – Integrated System Design I

Sense Mechanical Parameters When Wielding

Subjects can estimate length

Human haptic system is sensitive to time-varying forces and torques, it seems to use them to register mechanical quantities that remain invariant.

Page 6: ECE 495 – Integrated System Design I Overview of the Intelligent Systems (IS) Focus at Clemson Tim Burg Department of Electrical and Computer Engineering

ECE 495 – Integrated System Design I

Tricking Perception of Mechanical Parameters

Masses attached at various positions on each rod so as to break the natural covariation between moments, show that length perception is related to Inertia and Static Moment

Subjects incorrectly estimate length

Page 7: ECE 495 – Integrated System Design I Overview of the Intelligent Systems (IS) Focus at Clemson Tim Burg Department of Electrical and Computer Engineering

ECE 495 – Integrated System Design I

Haptic Device to Reproduce Experiments

Quansar 5DOF Haptic Wand

Can the device reproduce the dynamics of the wielded rod so user can estimate length?

Can the device be used to attune the user to specific mechanical variables?

Can the user be trained (calibrated) to estimate length from the perceived variables?

Page 8: ECE 495 – Integrated System Design I Overview of the Intelligent Systems (IS) Focus at Clemson Tim Burg Department of Electrical and Computer Engineering

ECE 495 – Integrated System Design I

Experimental Design of Haptic Experiments

Haptic Simulation

Page 9: ECE 495 – Integrated System Design I Overview of the Intelligent Systems (IS) Focus at Clemson Tim Burg Department of Electrical and Computer Engineering

ECE 495 – Integrated System Design I

Results

• Results from the study suggest that subjects can be trained by the process of attunement and calibration to estimate physical properties (like length) based on perceived haptic information.

• The primary implications of these findings pertain to the design of virtual haptic surgical simulators where kinesthetic parameters may improve haptic perception and skills training and the transfer of learned skills to real environments.

• Conversely, if haptic feedback is not addressed in the simulator design then inappropriate, hidden negative training may occur that may be detrimental to skills transfer.

Page 10: ECE 495 – Integrated System Design I Overview of the Intelligent Systems (IS) Focus at Clemson Tim Burg Department of Electrical and Computer Engineering

ECE 495 – Integrated System Design I

A More Theoretical Framework

Modeling – Haptics as a Leader/Follower System

Control Design to Make Leader “Feel” the Environment of the Follower

Observer to Estimate Input Force

Page 11: ECE 495 – Integrated System Design I Overview of the Intelligent Systems (IS) Focus at Clemson Tim Burg Department of Electrical and Computer Engineering

ECE 495 – Integrated System Design I

Where Can We Collaborate?

SystemElectricalBiological ChemicalMechanical Robotic

Output

ControllerComputingControl Algorithm

LinearNonlinear

SensingVisionEstimation

• Tim Burg ([email protected])

• Department of Electrical and Computer Engineering

• Clemson University