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Foothold Selection Considering Constraint and Slippage Evaluation for Legged Robots

  • Yufei Liu
  • , Lei Jiang*
  • , Chong Tian
  • , Boyang Xing
  • , Zhirui Wang
  • , Bo Su
  • , Tong Yan
  • , Liang Ding
  • , Haibo Gao
  • *Corresponding author for this work
  • China North Vehicle Research Institute
  • Zhejiang University
  • Harbin Institute of Technology

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

Abstract

Legged robots over a rugged terrain can be accomplished by taking the environment and control constraint models into account when planning foothold and robot movements. In this paper, the foot-terrain slippage evaluation model for 3-DOF leg based on dynamics model is proposed. The authors evaluate the geometrical characteristics of each cell on the local elevation map, checks slippage state constraints and kinematic constraints. Then, we employ reinforcement learning and imitation learning to develop the relationship between the local elevation map, robot state, and robot behavior. The method can help to select the foothold considered geometrical characteristics on the elevation map and the robot state can be determined. The experiments were carried out on legged robots walking over rough terrain in both simulation and real robotic platforms. And the experimental results have demonstrated the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings of the 11th Asia-Pacific Regional Conference of the ISTVS
PublisherInternational Society for Terrain-Vehicle Systems
Pages45-50
Number of pages6
ISBN (Electronic)9781942112532
DOIs
StatePublished - 2022
Event11th Asia-Pacific Regional Conference of the International Society for Terrain-Vehicle Systems, ISTVS 2022 - Virtual, Online
Duration: 26 Sep 202228 Sep 2022

Publication series

NameProceedings of the 11th Asia-Pacific Regional Conference of the ISTVS

Conference

Conference11th Asia-Pacific Regional Conference of the International Society for Terrain-Vehicle Systems, ISTVS 2022
CityVirtual, Online
Period26/09/2228/09/22

Keywords

  • geometrical characteristics
  • legged robots
  • reinforcement learning
  • slippage evaluation model

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