Design and control of soft shape-changing robots

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Abstract/Contents

Abstract
For robots to be useful in the real world, they must be human-safe, adaptable to different tasks, robust to uncertainty, and untethered from external power. Enabling these capabilities requires the codesign of both the physical robot and its controller. In this talk, I will illustrate this approach through the development of a large-scale, shape-changing, inflated soft robot. First, I will describe the control of robotic trusses, or robots that consist of many linear actuators connected at universal joints to form a shape-changing structure. Using techniques from rigidity theory, I present a kinematic model and control methodology that enables control of arbitrary structures. Then, I will demonstrate these controllers in practice for a new type of inflated truss robot called an "Isoperimetric" Truss Robot, or a truss in which the total edge length is conserved. In this case, the vertices of the truss-structure consist of robotic rollers that pinch inflated fabric tubes that comprise the robot's structure, inducing effective joints. The robot changes its shape by driving the rollers along the tube, lengthening one edge and shortening another by moving the joint. As the overall edge length, and hence inflated volume, remains constant no tether to external air is required. The resultant robot can locomote with a punctuated rolling gait, grasp objects using its inherent compliance, operate safely around humans, and can be manually reconfigured based on its task. Last, I will present a distributed control framework for truss-like robots. In this framework each individual actuator utilizes local computation and communication to determine how to act individually to allow the overall robot to accomplish a task. Together these contributions allow for modular, human-safe robots that are capable of controllably changing their shape

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2020; ©2020
Publication date 2020; 2020
Issuance monographic
Language English

Creators/Contributors

Author Usevitch, Nathan Scot
Degree supervisor Okamura, Allison
Degree supervisor Schwager, Mac
Thesis advisor Okamura, Allison
Thesis advisor Schwager, Mac
Thesis advisor Follmer, Sean
Degree committee member Follmer, Sean
Associated with Stanford University, Department of Mechanical Engineering.

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Nathan Usevitch
Note Submitted to the Department of Mechanical Engineering
Thesis Thesis Ph.D. Stanford University 2020
Location electronic resource

Access conditions

Copyright
© 2020 by Nathan Scot Usevitch
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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