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Whole-body kinematic and dynamic modeling for quadruped robot under different gaits and mechanism topologies
Dynamic locomotion plays a crucial role for legged robots to fulfill tasks in unstructured environments. This paper proposes whole-body kinematic and dynamic modeling method s based on screw theory for a quadruped robot using different gaits and mechanism topologies. Unlike simplified models such as...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8725662/ https://www.ncbi.nlm.nih.gov/pubmed/35036536 http://dx.doi.org/10.7717/peerj-cs.821 |
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author | Yan, Wei Pan, Yang Che, Junjie Yu, Jiexian Han, Zhuchen |
author_facet | Yan, Wei Pan, Yang Che, Junjie Yu, Jiexian Han, Zhuchen |
author_sort | Yan, Wei |
collection | PubMed |
description | Dynamic locomotion plays a crucial role for legged robots to fulfill tasks in unstructured environments. This paper proposes whole-body kinematic and dynamic modeling method s based on screw theory for a quadruped robot using different gaits and mechanism topologies. Unlike simplified models such as centroid or inverse pendulum models, the methods proposed here can handle 10-dimensional mass and inertia for each part. The only simplification is that foot contact models are treated as spherical joints. Models of three different mechanism topologies are formulated: (1) Standing phase: a system consisting of one end-effector, the body, and four limbs, the legs; (2) Walking phase: a system consisting of one or two lifting legs (depending on the chosen gait), two or three supporting legs; (3) Floating phase: a system in which all legs detach from the ground. Control strategies based on our models are also introduced, which includes walk and trot gait plans. In our control system, two additional types of information are provided: (1) contacting forces are given by force sensors installed under feet; (2) body poses are determined by an inertial measurement unit (IMU). Combined with the sensor data and calibrated mass, inertia, and friction, the joint torque can be estimated accurately in simulation and experiment. Our prototype, the “XiLing” robot, is built to verify the methods proposed in this paper, and the results show that the models can be solved quickly and leads to steady locomotions. |
format | Online Article Text |
id | pubmed-8725662 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87256622022-01-14 Whole-body kinematic and dynamic modeling for quadruped robot under different gaits and mechanism topologies Yan, Wei Pan, Yang Che, Junjie Yu, Jiexian Han, Zhuchen PeerJ Comput Sci Artificial Intelligence Dynamic locomotion plays a crucial role for legged robots to fulfill tasks in unstructured environments. This paper proposes whole-body kinematic and dynamic modeling method s based on screw theory for a quadruped robot using different gaits and mechanism topologies. Unlike simplified models such as centroid or inverse pendulum models, the methods proposed here can handle 10-dimensional mass and inertia for each part. The only simplification is that foot contact models are treated as spherical joints. Models of three different mechanism topologies are formulated: (1) Standing phase: a system consisting of one end-effector, the body, and four limbs, the legs; (2) Walking phase: a system consisting of one or two lifting legs (depending on the chosen gait), two or three supporting legs; (3) Floating phase: a system in which all legs detach from the ground. Control strategies based on our models are also introduced, which includes walk and trot gait plans. In our control system, two additional types of information are provided: (1) contacting forces are given by force sensors installed under feet; (2) body poses are determined by an inertial measurement unit (IMU). Combined with the sensor data and calibrated mass, inertia, and friction, the joint torque can be estimated accurately in simulation and experiment. Our prototype, the “XiLing” robot, is built to verify the methods proposed in this paper, and the results show that the models can be solved quickly and leads to steady locomotions. PeerJ Inc. 2021-12-16 /pmc/articles/PMC8725662/ /pubmed/35036536 http://dx.doi.org/10.7717/peerj-cs.821 Text en © 2021 Yan et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. |
spellingShingle | Artificial Intelligence Yan, Wei Pan, Yang Che, Junjie Yu, Jiexian Han, Zhuchen Whole-body kinematic and dynamic modeling for quadruped robot under different gaits and mechanism topologies |
title | Whole-body kinematic and dynamic modeling for quadruped robot under different gaits and mechanism topologies |
title_full | Whole-body kinematic and dynamic modeling for quadruped robot under different gaits and mechanism topologies |
title_fullStr | Whole-body kinematic and dynamic modeling for quadruped robot under different gaits and mechanism topologies |
title_full_unstemmed | Whole-body kinematic and dynamic modeling for quadruped robot under different gaits and mechanism topologies |
title_short | Whole-body kinematic and dynamic modeling for quadruped robot under different gaits and mechanism topologies |
title_sort | whole-body kinematic and dynamic modeling for quadruped robot under different gaits and mechanism topologies |
topic | Artificial Intelligence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8725662/ https://www.ncbi.nlm.nih.gov/pubmed/35036536 http://dx.doi.org/10.7717/peerj-cs.821 |
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