Feasible Region Construction by Polygon Merging for Continuous Bipedal Walking*

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.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/iros58592.2024.10802326
Citations
1
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
0.21

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article

Feasible Region Construction by Polygon Merging for Continuous Bipedal Walking*

Xuechao Chen, Yongliang Shi, Hengbo Qi, Lingxuan Zhao et al.
1 citations
Modular Robots and Swarm Intelligence
0.21
article

Feasible Region Construction by Polygon Merging for Continuous Bipedal Walking*

Xuechao Chen, Yongliang Shi, Hengbo Qi, Lingxuan Zhao, Zhangguo Yu, Qingqing Li, Qingrui Zhao, Chao Li, Zhihong Jiang
article en
1 citations

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.

Beijing Institute of Technology (CN)
National Natural Science Foundation of China
Sustainable cities and communities
Openalex Percentile: Top 48%
Modular Robots and Swarm Intelligence
0.21
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