Kefan Jin

According to our database, Kefan Jin authored at least 14 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

RESBev: Making BEV Perception More Robust.

Lifeng Zhuo, Kefan Jin, Zhe Liu, Hesheng Wang

CoRR, March, 2026

2025

Predictive Obstacle Avoidance Algorithm for Under-Actuated Unmanned Surface Vehicle Under Disturbances via Reinforcement Learning.

Kefan Jin, Zhe Liu, Jian Wang

J. Field Robotics, October, 2025

Timed-Elastic-Band-Based Variable Splitting for Autonomous Trajectory Planning.

Hao Zhu, Kefan Jin, Rui Gao, Jialin Wang, Richard Shi

Symmetry, 2025

Hybrid Reinforcement Learning Based Adversarial Strategy Generation for Self-Propelled Acoustic Decoy.

Yu Zhao, Haitao Wang, Duwen Zhai, Kefan Jin, Zhe Liu

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2025

Scalable Multi-Agent Reinforcement Learning: Adaptive Policies with Dynamic Agent and Target.

Anqi Guo, Kefan Jin, Zhe Liu

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2025

GIPD: Global Intent Prediction and Decomposition of Cooperative Multi-Robot System in Non-Communication Environments.

Yu Zhao, Zhe Liu, Haoyu Wei, Kai Wang, Haitao Wang, Duwen Zhai, Kefan Jin, Haibin Shao

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

A Multi-Agent Reinforcement Learning Approach Based on Local Shapley Value.

Jinxuan Shi, Zhe Liu, Kefan Jin, Hesheng Wang

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2023

Anomaly Detection For Robust Autonomous Navigation.

Kefan Jin, Fan Mu, Xingyao Han, Guangming Wang, Zhe Liu

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Visuomotor Reinforcement Learning for Multirobot Cooperative Navigation.

Zhe Liu, Qiming Liu, Ling Tang, Kefan Jin, Hongye Wang, Ming Liu, Hesheng Wang

IEEE Trans Autom. Sci. Eng., 2022

Conquering Ghosts: Relation Learning for Information Reliability Representation and End-to-End Robust Navigation.

Kefan Jin, Xingyao Han

CoRR, 2022

Learning Robust Vehicle Navigation Policy Under Interference and Partial Sensor Failures.

Zhe Liu, Kefan Jin, Yu Zhai, Yanzi Miao

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

Graph Neural Network Based Relation Learning for Abnormal Perception Information Detection in Self-Driving Scenarios.

Kefan Jin, Hongye Wang, Changxing Liu, Yu Zhai, Ling Tang

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Task-Space Trajectory Tracking Control for Coordinated Manipulation Using Sampled Coupling Data.

Zhe Liu, Wei Chen, Kefan Jin, Haoang Li

IEEE Robotics Autom. Lett., 2021

Attacking End-to-End Visual Navigation Model: How Weak Existing Learning-Based Approaches Can Be?

Hongye Wang, Kefan Jin, Hesheng Wang

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021