Robotics and Biology Laboratory

Xing Li

Research Interests

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 reserach interest is to develop a novel system that allows non-experts to intuitively teach robots complex skills through demonstrations. Different to other reserach works focus on Learning from demonstration, I am focusing 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 is 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.

Projects

© RBO

Learning To Manipulate From Demonstration

We will develop a novel approach to Learning from Demonstration for teaching a robot complex, contact-rich manipulation tasks. This approach will enable the robots to physically operate complex locks and other mechanisms.

Publications

2022

Li, Xing; Brock, Oliver
Learning From Demonstration Based on Environmental Constraints
IEEE Robotics and Automation Letters, 7 (4) :10938-10945
2022

2020

Rosbach, Sascha; James, Vinit; Großjohann, Simon; Homoceanu, Silviu; Li, Xing; Roth, Stefan
Driving Style Encoder: Situational Reward Adaptation for General-Purpose Planning in Automated Driving
2020 IEEE International Conference on Robotics and Automation (ICRA), Page 6419-6425
2020
Rosbach, Sascha; Li, Xing; Großjohann, Simon; Homoceanu, Silviu; Roth, Stefan
Planning on the fast lane: Learning to interact using attention mechanisms in path integral inverse reinforcement learning
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Page 5187-5193
2020