Shigeharu Mukai

2 accepted papers

2025

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

RA-L 2025

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 additio

Cited by 0 Source ↗Scholar ↗

2023

ITIRRT: A Decoupled Framework for the Integration of Machine Learning Into Path Planning

Thibault Barbie, Shigeharu Mukai

IROS 2023poster

Machine learning models have been successfully applied in many separate domains in the recent years. Yet, there is still a large disconnect with the path planning community mainly due to implementation difficulty. In this paper, we identify the issues and present a path planning framework that aims…

Cited by 1 Source ↗Scholar ↗