DSEC-Aware: Post-Collision Safety Control of Mobile Manipulators via Directional Energy Constraints

In this letter, we introduce a Directionally-aware Dynamic Energy Constraint (DSEC-Aware) framework to enhance energy-based safety control in post-collision human-robot collaboration (HRC). The method employs a selective energy dissipation mechanism, applying variable damping only along critical collision directions to effectively reduce impact forces while preserving user motion intentions in non-critical directions. It further adjusts energy boundaries dynamically according to human-robot proximity and introduces a multidimensional Danger Index (DI) model that incorporates physical parameters such as effective mass, contact stiffness, and human tolerance limits for accurate risk evaluation. Experimental results demonstrate that, compared with state-of-the-art (SOTA) methods, the proposed strategy reduces collision forces by approximately 58.04% and consistently maintains a low and stable collision risk, thereby significantly improving both the safety and practicality of HRC.

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Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2025-10-15
DOI
https://doi.org/10.1109/lra.2025.3621933
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

DSEC-Aware: Post-Collision Safety Control of Mobile Manipulators via Directional Energy Constraints

Jinhua Ye, Haibin Wu, Yong Fan, Le Xuan Hong et al.
IEEE Robotics and Automation Letters
Robotic Path Planning Algorithms
article

DSEC-Aware: Post-Collision Safety Control of Mobile Manipulators via Directional Energy Constraints

Jinhua Ye, Haibin Wu, Yong Fan, Le Xuan Hong, Gengfeng Zheng
article en

Abstract

In this letter, we introduce a Directionally-aware Dynamic Energy Constraint (DSEC-Aware) framework to enhance energy-based safety control in post-collision human-robot collaboration (HRC). The method employs a selective energy dissipation mechanism, applying variable damping only along critical collision directions to effectively reduce impact forces while preserving user motion intentions in non-critical directions. It further adjusts energy boundaries dynamically according to human-robot proximity and introduces a multidimensional Danger Index (DI) model that incorporates physical parameters such as effective mass, contact stiffness, and human tolerance limits for accurate risk evaluation. Experimental results demonstrate that, compared with state-of-the-art (SOTA) methods, the proposed strategy reduces collision forces by approximately 58.04% and consistently maintains a low and stable collision risk, thereby significantly improving both the safety and practicality of HRC.

IEEE Robotics and Automation LettersVol. 10(12)
Fujian Special Equipment Inspection Institute (CN), Fuzhou University (CN)
Openalex Percentile: Top 71%
Robotic Path Planning Algorithms
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DSEC-Aware: Post-Collision Safety Control of Mobile Manipulators via Directional Energy Constraints — Jinhua Ye, Haibin Wu, et al. · IEEE Robotics and Automation Letters (2025) | TGRS Research Map | TGRS