Model-less control of continuum manipulators for robot-assisted cardiac ablation

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Abstract/Contents

Abstract
Continuum manipulators are designed to operate in constrained environments that are often unknown or unsensed, relying on body compliance to conform to obstacles. The interaction mechanics between the compliant body and unknown environment present significant challenges for traditional robot control technique based on modeling these interactions exactly. This thesis describes a novel model-less approach (i.e. no knowledge of robot mechanics or kinematics) to control continuum manipulators in unknown and constrained environments. In this approach, the controller learns the continuum manipulator Jacobians in real-time and adapts to constraints in the environment autonomously and in a safe manner. Also described is a hybrid position/force scheme, which is useful when interacting with the environment using the end-effector, where tip-constraints can cause the manipulator Jacobian estimates to become ill-conditioned. Under these control strategies, continuum manipulators can safely and effectively interact with the environment, even when these interactions present themselves as arbitrary and unknown constraints. Finally, the model-less control scheme is adapted for operating in a noisy, dynamically disturbed, beating environment. A cardiac ablation is automated to show proof-of-concept autonomous implementation of a cardiac catheterization procedure.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2015
Issuance monographic
Language English

Creators/Contributors

Associated with Yip, Michael Chak Luen
Associated with Stanford University, Department of Bioengineering.
Primary advisor Camarillo, David
Thesis advisor Camarillo, David
Thesis advisor Delp, Scott
Thesis advisor Okamura, Allison
Advisor Delp, Scott
Advisor Okamura, Allison

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Michael Chak Luen Yip.
Note Submitted to the Department of Bioengineering.
Thesis Thesis (Ph.D.)--Stanford University, 2015.
Location electronic resource

Access conditions

Copyright
© 2015 by Michael Chak Luen Yip
License
This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).

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