Tingxiang Fan
According to our database1,
Tingxiang Fan
authored at least 23 papers
between 2018 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
SMAT: A Self-Reinforcing Framework for Simultaneous Mapping and Tracking in Unbounded Urban Environments.
CoRR, 2023
Design, Sensing and Control of Service Robotic System for Intelligent Navigation and Operation in Internet Data Centers.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
2022
DiffSRL: Learning Dynamical State Representation for Deformable Object Manipulation With Differentiable Simulation.
IEEE Robotics Autom. Lett., 2022
DynamicFilter: an Online Dynamic Objects Removal Framework for Highly Dynamic Environments.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
2021
An Efficient and Responsive Robot Motion Controller for Safe Human-Robot Collaboration.
IEEE Robotics Autom. Lett., 2021
IEEE Robotics Autom. Lett., 2021
DiffSRL: Learning Dynamic-aware State Representation for Deformable Object Control with Differentiable Simulator.
CoRR, 2021
IEEE Access, 2021
2020
A Two-Stage Reinforcement Learning Approach for Multi-UAV Collision Avoidance Under Imperfect Sensing.
IEEE Robotics Autom. Lett., 2020
Distributed multi-robot collision avoidance via deep reinforcement learning for navigation in complex scenarios.
Int. J. Robotics Res., 2020
CoRR, 2020
Proceedings of the Experimental Robotics - The 17th International Symposium, 2020
DeepMNavigate: Deep Reinforced Multi-Robot Navigation Unifying Local & Global Collision Avoidance.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
IEEE Robotics Autom. Lett., 2019
IEEE Robotics Autom. Lett., 2019
CoRR, 2019
2018
Fully Distributed Multi-Robot Collision Avoidance via Deep Reinforcement Learning for Safe and Efficient Navigation in Complex Scenarios.
CoRR, 2018
Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018