Wei Pan
Orcid: 0000-0003-1121-9879Affiliations:
- Delft University of Technology, Cognitive Robotics, The Netherlands
- Imperial College London, Department of Bioengineering, UK (PhD 2016)
According to our database1,
Wei Pan
authored at least 55 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Learning-Based Multi-UAV Flocking Control With Limited Visual Field and Instinctive Repulsion.
IEEE Trans. Cybern., January, 2024
2023
IEEE Robotics Autom. Lett., November, 2023
IEEE Trans. Robotics, October, 2023
Autom., June, 2023
SYNLOCO: Synthesizing Central Pattern Generator and Reinforcement Learning for Quadruped Locomotion.
CoRR, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
Model-Reference Reinforcement Learning for Collision-Free Tracking Control of Autonomous Surface Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Control. Netw. Syst., 2022
Bayesian Learning to Discover Mathematical Operations in Governing Equations of Dynamic Systems.
CoRR, 2022
Barrier Function-based Safe Reinforcement Learning for Formation Control of Mobile Robots.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
2021
IEEE Trans. Autom. Control., 2021
Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles.
CoRR, 2021
CoRR, 2021
Reinforcement learning control of constrained dynamic systems with uniformly ultimate boundedness stability guarantee.
Autom., 2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Reinforcement Learning for Orientation Estimation Using Inertial Sensors with Performance Guarantee.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
2020
IEEE Robotics Autom. Lett., 2020
IEEE CAA J. Autom. Sinica, 2020
Model-Reference Reinforcement Learning Control of Autonomous Surface Vehicles with Uncertainties.
CoRR, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Proceedings of the Distributed Artificial Intelligence - Second International Conference, 2020
Proceedings of the 4th Conference on Robot Learning, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
A Sparse Bayesian Deep Learning Approach for Identification of Cascaded Tanks Benchmark.
CoRR, 2019
CoRR, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
2018
IEEE Trans. Control. Netw. Syst., 2018
2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
2016
IEEE Trans. Autom. Control., 2016
On Identification of Sparse Multivariable ARX Model: A Sparse Bayesian Learning Approach.
CoRR, 2016
On Identification of Dynamical Structure Functions: A Sparse Bayesian Learning Approach.
CoRR, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2015
Distributed Finite-Time Average Consensus in Digraphs in the Presence of Time Delays.
IEEE Trans. Control. Netw. Syst., 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
2014
2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2012
Reconstruction of Arbitrary Biochemical Reaction Networks: A Compressive Sensing Approach
CoRR, 2012
Reconstruction of arbitrary biochemical reaction networks: A compressive sensing approach.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012