Perception and control of robot legged locomotion over variable terrain

Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2016. === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 161-175). === This thesis investigates the role of foot-ground dynamics in robot legged locomotion. Empirical ob...

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Main Author: Bosworth, William R., Ph. D. Massachusetts Institute of Technology
Other Authors: Neville Hogan.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2017
Subjects:
Online Access:http://hdl.handle.net/1721.1/106788
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spelling ndltd-MIT-oai-dspace.mit.edu-1721.1-1067882019-05-02T15:43:26Z Perception and control of robot legged locomotion over variable terrain Bosworth, William R., Ph. D. Massachusetts Institute of Technology Neville Hogan. Massachusetts Institute of Technology. Department of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering. Mechanical Engineering. Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2016. Cataloged from PDF version of thesis. Includes bibliographical references (pages 161-175). This thesis investigates the role of foot-ground dynamics in robot legged locomotion. Empirical observation with robot hardware is critical for such investigation due to the complexity of impact dynamics and the infinite variability of real terrain. To this end, we introduce the MIT Super Mini Cheetah, a small, inexpensive quadrupedal robot that can run and walk over a variety of ground types (gravel, tile, carpet, grass, etc.). Experiments with the Super Mini Cheetah demonstrate new terrain-adaptation capabilities for locomotion control over surfaces with varying mechanical impedance. The terrain adaptation methods are shown empirically to increase gait stability and to reduce impact loading on the legs. To the best of our knowledge, the work demonstrates the first example of a running controller that measures changes in stiffness of the ground and modifies its controller within a single stride. This enables the Super Mini Cheetah to run smoothly between hard and soft surfaces. Algorithms to quickly measure ground properties are presented. These measurements are made by observing interaction between robot legs and the ground. We show that the impact event between the foot and the ground is particularly information-rich which enables the Super Mini Cheetah to estimate ground stiffness within 50 milliseconds of beginning a step. These results contribute new knowledge about the hardware and control requirements to provide legged robots with a useful sense of touch, which will greatly enhance the types of terrain that legged robots can safely and gracefully roam. by Will Bosworth. Ph. D. 2017-01-30T19:18:17Z 2017-01-30T19:18:17Z 2016 2016 Thesis http://hdl.handle.net/1721.1/106788 970394106 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 175 pages application/pdf Massachusetts Institute of Technology
collection NDLTD
language English
format Others
sources NDLTD
topic Mechanical Engineering.
spellingShingle Mechanical Engineering.
Bosworth, William R., Ph. D. Massachusetts Institute of Technology
Perception and control of robot legged locomotion over variable terrain
description Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2016. === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 161-175). === This thesis investigates the role of foot-ground dynamics in robot legged locomotion. Empirical observation with robot hardware is critical for such investigation due to the complexity of impact dynamics and the infinite variability of real terrain. To this end, we introduce the MIT Super Mini Cheetah, a small, inexpensive quadrupedal robot that can run and walk over a variety of ground types (gravel, tile, carpet, grass, etc.). Experiments with the Super Mini Cheetah demonstrate new terrain-adaptation capabilities for locomotion control over surfaces with varying mechanical impedance. The terrain adaptation methods are shown empirically to increase gait stability and to reduce impact loading on the legs. To the best of our knowledge, the work demonstrates the first example of a running controller that measures changes in stiffness of the ground and modifies its controller within a single stride. This enables the Super Mini Cheetah to run smoothly between hard and soft surfaces. Algorithms to quickly measure ground properties are presented. These measurements are made by observing interaction between robot legs and the ground. We show that the impact event between the foot and the ground is particularly information-rich which enables the Super Mini Cheetah to estimate ground stiffness within 50 milliseconds of beginning a step. These results contribute new knowledge about the hardware and control requirements to provide legged robots with a useful sense of touch, which will greatly enhance the types of terrain that legged robots can safely and gracefully roam. === by Will Bosworth. === Ph. D.
author2 Neville Hogan.
author_facet Neville Hogan.
Bosworth, William R., Ph. D. Massachusetts Institute of Technology
author Bosworth, William R., Ph. D. Massachusetts Institute of Technology
author_sort Bosworth, William R., Ph. D. Massachusetts Institute of Technology
title Perception and control of robot legged locomotion over variable terrain
title_short Perception and control of robot legged locomotion over variable terrain
title_full Perception and control of robot legged locomotion over variable terrain
title_fullStr Perception and control of robot legged locomotion over variable terrain
title_full_unstemmed Perception and control of robot legged locomotion over variable terrain
title_sort perception and control of robot legged locomotion over variable terrain
publisher Massachusetts Institute of Technology
publishDate 2017
url http://hdl.handle.net/1721.1/106788
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