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 | 18 | 2022 |
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 | 15 | 2021 |
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 | 7 | 2023 |
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 | 2 | 2020 |
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 | 1 | 2024 |
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 | 1 | 2023 |
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 |