Bian Xihan is a novel researcher with experience in Machine Learning, Robotics, Reinforcement Learning and Imitation Learning. He reviewed his Bachelor's degree from the University of Texas at Austin. He then worked as an engineer ranging from high-speed computation and commutation systems to autonomous vehicles before earning his PhD with Dr.Simon Hadfield and Dr.Oscar Mendez in 2022. His research effort will continue in the field of robotics in combination with intelligent agents.
Qualifications
PhD, University of Surrey, 2022
Experience
Research Engineer, Inspur Group, 2016-2018
Research interests
Robotics & Robotic Learning
Imitation Learning
Reinforcement Learning
Articles
Bian X, Mendez O, Hadfield S. Generalizing to New Tasks via One-Shot Compositional Subgoals[J]. arXiv preprint arXiv:2205.07716, 2022.
Xihan B, Mendez O, Hadfield S. Robot in a china shop: Using reinforcement learning for location-specific navigation behaviour[C]//2021 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2021: 5959-5965.
Xihan B, Mendez O, Hadfield S. SKILL-IL: disentangling skill and knowledge in multitask imitation learning[C]//2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2022: 7060-7065.
Conference presentations
Bian X, Mendez O, Hadfield S. Generalizing to New Tasks via One-Shot Compositional Subgoals[J]. arXiv preprint arXiv:2205.07716, 2022.
