Hi! I am currently a research intern at Baidu USA. My research interest is triggered by a broad range of human-robot interaction (HRI) applications, e.g., human decision prediction under ambiguous risks, fast robot learning and adaptation on collaborative skills from human demonstration, robust object pose estimation in adversarial environments, etc. To address challenges in HRI, a highly interdisciplinary area, I leverage techniques from multiple areas, including inverse reinforcement learning, reinforcement learning, meta learning, probabilistic robotics, and deep learning.
My ultimate goal is to build robotics systems that can collaborate with humans safely, efficiently, and adaptively.
I work on applications as well (lidar drivers and tools, automatic map generator for driving simulators, robotic arms, self-balance bot races, etc.). Details can be found here.