Time-Margin Safety Stop Strategies for Efficient Navigation in Complex Environments

This letter addresses the critical challenge of ensuring safe and efficient navigation of mobile robots in cluttered environments. Given the increasing complexity of robotic software, the authors emphasize the need for an immediate and collision-free stop in case of software failures when no additional planning is possible. Existing methods, due to their insufficient consideration of safety stop, often result in less efficient navigation strategies. The authors propose a novel approach that incorporates a time-margin safety stop requirement into the robot's navigation system. This strategy offers increased flexibility in trajectory planning, giving robots a time margin for stopping that improves travel time to the goal. Experimental results show that the authors' approach not only guarantees safe stops in the event of software crashes but also reduces the travel time by 34% compared to existing methods.

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Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2025-02-24
DOI
https://doi.org/10.1109/lra.2025.3544862
Citations
1
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
1.28
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article

Time-Margin Safety Stop Strategies for Efficient Navigation in Complex Environments

Tomomichi Sugihara, Shigeharu Mukai
1 citations
IEEE Robotics and Automation Letters
Robotic Path Planning Algorithms
1.28
article

Time-Margin Safety Stop Strategies for Efficient Navigation in Complex Environments

Tomomichi Sugihara, Shigeharu Mukai
article en
1 citations

Abstract

This letter addresses the critical challenge of ensuring safe and efficient navigation of mobile robots in cluttered environments. Given the increasing complexity of robotic software, the authors emphasize the need for an immediate and collision-free stop in case of software failures when no additional planning is possible. Existing methods, due to their insufficient consideration of safety stop, often result in less efficient navigation strategies. The authors propose a novel approach that incorporates a time-margin safety stop requirement into the robot's navigation system. This strategy offers increased flexibility in trajectory planning, giving robots a time margin for stopping that improves travel time to the goal. Experimental results show that the authors' approach not only guarantees safe stops in the event of software crashes but also reduces the travel time by 34% compared to existing methods.

IEEE Robotics and Automation LettersVol. 10(4)
Omron (Japan) (JP)
Affordable and clean energy
Openalex Percentile: Top 23%
Robotic Path Planning Algorithms
1.28
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