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Yu'an Chen

2 accepted papers

2023

Reinforcement Learning for Robot Navigation with Adaptive Forward Simulation Time (AFST) in a Semi-Markov Model

IROS 2023poster

Deep reinforcement learning (DRL) algorithms have proven effective in robot navigation, especially in unknown environments, by directly mapping perception inputs into robot control commands. However, most existing methods ignore the local minimum problem in navigation and thereby cannot handle compl…

Cited by 0SourcecodeScholar
2023

Training a Non-Cooperator to Identify Vulnerabilities and Improve Robustness for Robot Navigation

RA-L 2023

Autonomous mobile robots have become popular in various applications coexisting with humans, which requires robots to navigate efficiently and safely in crowd environments with diverse pedestrians. Pedestrians may cooperate with the robot by avoiding it actively or ignoring the robot during their wa

Cited by 2SourceScholar