Control of dynamic maneuvers for bipedal robots

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Abstract/Contents

Abstract
There are many topographies in both the natural and man-made worlds which pose difficulties to machines: rubble fields, collapsed structures, ecologically sensitive areas, and even generally rugged terrain. If mechanical systems could negotiate such environments, the benefit to society would be great, with applications in search and rescue, ecologically friendly harvesting industries, and infantry support. The focus of this thesis is on gait control for bipedal robots. Before developing control algorithms, two areas of a bipedal robotic system are considered: leg design and control architecture. Noting the success of biologic systems in navigating difficult terrains, inspirations are taken from nature in both of these areas. A dynamic simulation method appropriate for systems with varying topology, such as legged robots, is also developed. In order to test the leg design, control architecture, and dynamic simulator, the relatively simple task of monopod hopping is studied. Stable results are achieved in both simulation and hardware, and the leg design, control architecture, and dynamic simulator are validated. Four bipedal maneuvers are then considered: steady-state running, accelerating, decelerating, and turning. Stable simulated results are demonstrated for all of these maneuvers. An experimental biped is also created. When the torso pitch is partially constrained, stable experimental steady-state running is achieved. When the torso pitch is unconstrained, five steps are achieved before falling. This work contains significant contributions in the areas of control architecture, leg design, and dynamic simulation methods for multi-topology systems. Novel control algorithms are presented for monopod hopping and steady-state running. Finally, control algorithms are presented for accelerating, decelerating, and turning, which have not been previously studied in bipedal robots.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2010
Issuance monographic
Language English

Creators/Contributors

Associated with Perkins, Alexander Douglas
Associated with Stanford University, Department of Mechanical Engineering
Primary advisor Waldron, Kenneth J
Thesis advisor Waldron, Kenneth J
Thesis advisor Gerdes, J. Christian
Thesis advisor Roth, Bernard
Advisor Gerdes, J. Christian
Advisor Roth, Bernard

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Alexander Douglas Perkins.
Note Submitted to the Department of Mechanical Engineering.
Thesis Thesis (Ph. D.)--Stanford University, 2010.
Location electronic resource

Access conditions

Copyright
© 2010 by Alexander Douglas Perkins
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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