A swing-foot trajectory generation method for biped walking

Huanzhong Chen, Xuechao Chen*, Zhangguo Yu, Chencheng Dong, Qingqing Li, Runming Zhang, Qiang Huang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

Pattern generation is the basis of balanced motion for biped robots, especially when highly dynamic motions are desired. For fast walking, convention pattern generation based on LIPM (linear inverted pendulum model) alone can’t guarantee balance of the robot, while pattern generation based on full-body dynamics takes a lot of time. This paper proposes a swing-foot trajectory generation method for biped walking, which aims to minimize the velocity and acceleration of swing leg. Experiment showed that biped walking of 4km/h can be achieved with optimized swing-foot trajectory.

Original languageEnglish
Title of host publication2021 6th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages841-845
Number of pages5
ISBN (Electronic)9780738133645
DOIs
Publication statusPublished - 3 Jul 2021
Event6th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2021 - Chongqing, China
Duration: 3 Jul 20215 Jul 2021

Publication series

Name2021 6th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2021

Conference

Conference6th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2021
Country/TerritoryChina
CityChongqing
Period3/07/215/07/21

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