Research on Foot Slippage Suppression of Mammal Type Legged Robot based on Optimal Force Allocation

Yufei Liu*, Yongyao Li, Zeyuan Sun, Dongdong Zheng, Ruiwei Liu, Chao Chen, Boyang Xing, Zhirui Wang

*Corresponding author for this work

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

Abstract

Heavy-duty robots such as hexapod and quadruped robots exhibit tremendous potential with their high payload ability and terrain adaptability. This paper introduces a slippage estimation and suppression approach for mammal type legged robot that traverses uneven and transition stage from a flat surface to sloped terrain. An optimal force allocation method under contact constraints is developed to minimize the linear and quadratic costs in the commands and constrained contact forces. Extensive experiments have been conducted, and the results have demonstrated the effectiveness of the proposed control approach.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications - 16th International Conference, ICIRA 2023, Proceedings
EditorsHuayong Yang, Jun Zou, Geng Yang, Xiaoping Ouyang, Honghai Liu, Zhiyong Wang, Zhouping Yin, Lianqing Liu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages484-494
Number of pages11
ISBN (Print)9789819964888
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event16th International Conference on Intelligent Robotics and Applications, ICIRA 2023 - Hangzhou, China
Duration: 5 Jul 20237 Jul 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14269 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Intelligent Robotics and Applications, ICIRA 2023
Country/TerritoryChina
CityHangzhou
Period5/07/237/07/23

Keywords

  • Heavy-duty robots
  • Optimal force allocation
  • Slippage estimation and suppression

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