Crowd-Aware Robot Navigation for Pedestrians with Multiple Collision Avoidance Strategies via Map-based Deep Reinforcement Learning. - Shunyi Yao; Guangda Chen; Quecheng Qiu; Jun Ma 034; Xiaoping Chen; Jianmin Ji (IROS, 2021)

Learning to Socially Navigate in Pedestrian-rich Environments with Interaction Capacity. - Quecheng Qiu; Shunyi Yao; Jing Wang 193; Jun Ma 034; Guangda Chen; Jianmin Ji (ICRA, 2022)

Deep Reinforcement Learning for Localizability-Enhanced Navigation in Dynamic Human Environments. - Yu'an Chen; Quecheng Qiu; Xiangyu Liu; Guangda Chen; Shunyi Yao; Jie Peng 002; Jianmin Ji; Yanyong Zhang (CoRR, 2023)

Training a Non-Cooperator to Identify Vulnerabilities and Improve Robustness for Robot Navigation. - Quecheng Qiu; Xuyang Zhang; Shunyi Yao; Yu'an Chen; Guangda Chen; Bei Hua; Jianmin Ji (IEEE Robotics Autom. Lett., 2023)

PathRL: An End-to-End Path Generation Method for Collision Avoidance via Deep Reinforcement Learning. - Wenhao Yu 010; Jie Peng 002; Quecheng Qiu; Hanyu Wang; Lu Zhang; Jianmin Ji (ICRA, 2024)

NaviFormer: A Data-Driven Robot Navigation Approach via Sequence Modeling and Path Planning with Safety Verification. - Xuyang Zhang; Ziyang Feng; Quecheng Qiu; Yu'an Chen; Bei Hua; Jianmin Ji (ICRA, 2024)

MSGField: A Unified Scene Representation Integrating Motion, Semantics, and Geometry for Robotic Manipulation. - Yu Sheng; Runfeng Lin; Lidian Wang; Quecheng Qiu; Yanyong Zhang; Yu Zhang 086; Bei Hua; Jianmin Ji (CoRR, 2024)