Feasible Region Construction by Polygon Merging for Continuous Bipedal Walking

Chao Li, Xuechao Chen*, Hengbo Qi, Qingqing Li, Qingrui Zhao, Yongliang Shi, Zhangguo Yu, Lingxuan Zhao, Zhihong Jiang

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Feasible regions for continuous walking must provide necessary information for footstep planning, including surrounding landing areas and details about obstacles to be avoided during foot swing. However, the current frame lacks sufficient information to construct a feasible region needed at the current moment due to knee occlusion. To this end, this paper uses polygon merging to construct an information-complete feasible region. This polygon merging refers to merging polygons from the current frame and a specific previous frame. Since the polygon is more concise and efficient than point cloud for environmental representation, construction can be completed quickly without GPU acceleration. Experiments show that the proposed method successfully constructs informative feasible regions within the allowed time frame, enabling the robot to navigate stairs.

Original languageEnglish
Title of host publication2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages11286-11293
Number of pages8
ISBN (Electronic)9798350377705
DOIs
Publication statusPublished - 2024
Event2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024 - Abu Dhabi, United Arab Emirates
Duration: 14 Oct 202418 Oct 2024

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Conference

Conference2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period14/10/2418/10/24

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