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Wenxing Liu
Wenxing Liu
Robotics Research Engineer, UK Atomic Energy Authority
Verified email at ukaea.uk - Homepage
Title
Cited by
Cited by
Year
Distributed neural networks training for robotic manipulation with consensus algorithm
W Liu, H Niu, I Jang, G Herrmann, J Carrasco
IEEE transactions on neural networks and learning systems 35 (2), 2732-2746, 2022
182022
A model-free deep reinforcement learning approach for robotic manipulators path planning
W Liu, H Niu, MN Mahyuddin, G Herrmann, J Carrasco
2021 21st International Conference on Control, Automation and Systems (ICCAS …, 2021
152021
Sim-and-real reinforcement learning for manipulation: A consensus-based approach
W Liu, H Niu, W Pan, G Herrmann, J Carrasco
2023 IEEE International Conference on Robotics and Automation (ICRA), 3911-3917, 2023
72023
A comparative study for obstacle avoidance inverse kinematics: Null-space based vs. optimisation-based
N Harrison, W Liu, I Jang, J Carrasco, G Herrmann, N Sykes
Towards Autonomous Robotic Systems: 21st Annual Conference, TAROS 2020 …, 2020
22020
AutoInspect: Towards Long-Term Autonomous Industrial Inspection
M Staniaszek, T Flatscher, J Rowell, H Niu, W Liu, Y You, R Skilton, ...
arXiv preprint arXiv:2404.12785, 2024
12024
Sim-to-real deep reinforcement learning with manipulators for pick-and-place
W Liu, H Niu, R Skilton, J Carrasco
Annual Conference Towards Autonomous Robotic Systems, 240-252, 2023
12023
Consensus-based Deep Reinforcement Learning for Mobile Robot Mapless Navigation
W Liu, H Niu, I Caliskanelli, Z Xu, R Skilton
2024 IEEE International Conference on Industrial Technology (ICIT), 1-7, 2024
2024
Nuclear bilateral telerobotic systems: performance comparison and future implications
H Tugal, F Abe, M Sakamoto, S Shirai, I Caliskanelli, W Liu, ...
Robotica, 1-14, 2024
2024
Deep reinforcement learning with consensus for manipulators
W Liu
PQDT-Global, 2023
2023
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