Hi, my name is Xing Li. I am a PhD student at the Technische Universität Berlin under the supervision of Professor Oliver Brock. I am associated with the Excellence Research Cluster Science of Intelligence at Berlin.
My research interest is to develop a novel system that allows non-experts to intuitively teach robots complex skills through demonstrations. Different from other research works about Learning from demonstration, I focus on how to endow the robot with the ability to efficiently explore the environment under the guidance of human demonstrations. I believe this is a possible solution to bridge the gap in perception repertoire between humans and robots to leverage the potential provided by the robots’ embodiment. I hope my research could contribute to the robotics community in the context of bringing robots to everyday household environments and making them accessible to everyone.
Publications
Augmentation for Learning from Demonstration with Environmental Constraints
Xing Li, Manuel Baum and Oliver Brock
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 23)
Planning On The Fast Lane: Learning To Interact Using Attention Mechanisms In Path Integral Inverse Reinforcement Learning
Sascha Rosbach, Xing Li, Simon Großjohann, Silviu Homoceanu, Stefan Roth
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
[Paper]
Driving Style Encoder: Situational Reward Adaptation For General-purpose Planning In Automated Driving
Sascha Rosbach, Vinit James, Simon Großjohann, Silviu Homoceanu, Xing Li, Stefan Roth
IEEE/RSJ International Conference on Robotics and Automation (ICRA)
[Paper]
Contact
Fakultät IV, MAR 5-1, Marchstraße 23, 10587 Berlin, Germany
Email: xing.li@tu-berlin.de