Wei Li

Orcid: 0000-0003-4242-1615

Affiliations:
  • Chinese Academy of Sciences, Institute of Computing Technology, Research Center for Intelligent Computing Systems, Beijing, China
  • Tsinghua University, Department of Electronic Enginnering, Beijing, China (PhD 2019)


According to our database1, Wei Li authored at least 13 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Trajectory Planning for Autonomous Driving Featuring Time-Varying Road Curvature and Adhesion Constraints.
IEEE Trans. Intell. Transp. Syst., November, 2024

Speed Planning Based on Terrain-Aware Constraint Reinforcement Learning in Rugged Environments.
IEEE Robotics Autom. Lett., 2024

Autonomous Driving in Unstructured Environments: How Far Have We Come?
CoRR, 2024

SCOML: Trajectory Planning Based on Self-Correcting Meta-Reinforcement Learning in Hybrid Terrain for Mobile Robot.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

A Safe and Efficient Timed-Elastic-Band Planner for Unstructured Environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

F3DMP: Foresighted 3D Motion Planning of Mobile Robots in Wild Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
On the Value of Myopic Behavior in Policy Reuse.
CoRR, 2023

Cross-Domain Policy Adaptation via Value-Guided Data Filtering.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Tightly-Coupled GNSS RTK/INS Positioning Algorithm Based on Adaptive Lag Smoother.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Active Visual SLAM Based on Hierarchical Reinforcement Learning.
IROS, 2023

2022
SMS-MPC: Adversarial Learning-based Simultaneous Prediction Control with Single Model for Mobile Robots.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Closing the Dynamics Gap via Adversarial and Reinforcement Learning for High-Speed Racing.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
KFS-LIO: Key-Feature Selection for Lightweight Lidar Inertial Odometry.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021


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