Switching Max-Plus models for legged locomotion
We present a new class of gait generation and control algorithms based on the switching max-plus modeling framework that allows for the synchronization of multiple legs of walking robots. Transitions between stance and swing phases of each leg are modeled as discrete events on a system described by...
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Published in | 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO) pp. 221 - 226 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.12.2009
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Subjects | |
Online Access | Get full text |
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Summary: | We present a new class of gait generation and control algorithms based on the switching max-plus modeling framework that allows for the synchronization of multiple legs of walking robots. Transitions between stance and swing phases of each leg are modeled as discrete events on a system described by max-plus-linear state equations. Different gaits and gait parameters can be interleaved by using different system matrices. Switching in max-plus-linear systems offers a powerful collection of modeling, analysis, and control tools that, in particular, allow for safe transitions between different locomotion gaits that may involve breaking/enforcing synchronization or changing the order of leg lift off events. Experimental validation of the proposed algorithms is presented by the implementation of various horse gaits on a simple quadruped robot. |
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ISBN: | 9781424447749 1424447747 |
DOI: | 10.1109/ROBIO.2009.5420626 |