| Multi-expert learning of adaptive legged locomotion C Yang, K Yuan, Q Zhu, W Yu, Z Li Science Robotics 5 (49), eabb2174, 2020 | 167 | 2020 |
| Learning natural locomotion behaviors for humanoid robots using human bias C Yang, K Yuan, S Heng, T Komura, Z Li IEEE Robotics and Automation Letters 5 (2), 2610-2617, 2020 | 49 | 2020 |
| Learning whole-body motor skills for humanoids C Yang, K Yuan, W Merkt, T Komura, S Vijayakumar, Z Li 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids …, 2018 | 39 | 2018 |
| Emergence of human-comparable balancing behaviours by deep reinforcement learning C Yang, T Komura, Z Li 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids …, 2017 | 38 | 2017 |
| Recurrent deterministic policy gradient method for bipedal locomotion on rough terrain challenge DR Song, C Yang, C McGreavy, Z Li 2018 15th International Conference on Control, Automation, Robotics and …, 2018 | 37 | 2018 |
| Learning pregrasp manipulation of objects from ungraspable poses Z Sun, K Yuan, W Hu, C Yang, Z Li 2020 IEEE International Conference on Robotics and Automation (ICRA), 9917-9923, 2020 | 25 | 2020 |
| Object exploration using vision and active touch C Yang, NF Lepora 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 9 | 2017 |
| Recurrent network-based deterministic policy gradient for solving bipedal walking challenge on rugged terrains DR Song, C Yang, C McGreavy, Z Li arXiv preprint arXiv:1710.02896, 2017 | 9 | 2017 |
| Learning complex motor skills for legged robot fall recovery C Yang, C Pu, G Xin, J Zhang, Z Li IEEE Robotics and Automation Letters, 2023 | 8 | 2023 |
| Decoding motor skills of artificial intelligence and human policies: A study on humanoid and human balance control K Yuan, C McGreavy, C Yang, W Wolfslag, Z Li IEEE Robotics & Automation Magazine 27 (2), 87-101, 2020 | 8 | 2020 |
| Identifying important sensory feedback for learning locomotion skills W Yu, C Yang, C McGreavy, E Triantafyllidis, G Bellegarda, M Shafiee, ... Nature Machine Intelligence 5 (8), 919-932, 2023 | 5 | 2023 |
| Learning motor skills of reactive reaching and grasping of objects W Hu, C Yang, K Yuan, Z Li 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO), 452-457, 2021 | 3 | 2021 |
| Robot intelligence for real-world applications E Triantafyllidis, C Yang, C McGreavy, W Hu, Z Li IET Computing and Networks, UK, 2020 | 3 | 2020 |
| Reaching, grasping and re-grasping: Learning multimode grasping skills W Hu, C Yang, K Yuan, Z Li arXiv preprint arXiv:2002.04498, 2020 | 3 | 2020 |
| A multi-modal garden dataset and hybrid 3D dense reconstruction framework based on panoramic stereo images for a trimming robot C Pu, C Yang, J Pu, R Tylecek, RB Fisher ISPRS Journal of Photogrammetry and Remote Sensing 202, 262-286, 2023 | 1 | 2023 |
| Learning Quadruped Locomotion using Bio-Inspired Neural Networks with Intrinsic Rhythmicity C Yang, C Pu, T Wei, C Wang, Z Li arXiv preprint arXiv:2305.07300, 2023 | 1 | 2023 |
| Reaching, grasping and re-grasping: Learning fine coordinated motor skills W Hu, C Yang, K Yuan, Z Li arXiv preprint arXiv:2002.04498, 2020 | 1 | 2020 |
| A general mobile manipulator automation framework for flexible tasks in controlled environments C Pu, C Yang, J Pu, RB Fisher Advanced Engineering Informatics 57, 102062, 2023 | | 2023 |
| A General Mobile Manipulator Automation Framework for Flexible Manufacturing in Hostile Industrial Environments C Pu, C Yang, J Pu, RB Fisher arXiv preprint arXiv:2302.04486, 2023 | | 2023 |
| Analysis of Robotic Control Policies Learned by Deep Reinforcement Learning Networks YP Wang, C Yang, K Yuan, Z Li | | |
Zhibin (Alex) LiAssociate Professor, University College LondonVerifierad e-postadress på ucl.ac.uk
