Yuyang LiPhD Student at Peking UniversityI am currently an incoming PhD student at the CoRe Lab, PKU Institute for AI, advised by Prof. Yixin Zhu. I am also a research intern at the General Vision Lab, BIGAI, under the guidance of Dr. Tengyu Liu. I obtained my bachelor's degree in engineering from the Department of Automation at Tsinghua University, as a core member and the technical lead of the Cultivating Talents Program in General AI (Tong Class). My research interests lie in the intersection of robotics, 3D computer vision, and cognitive reasoning, focusing on physical commonsense reasoning and dexterous manipulation based on visuo-tactile perception. My long-term goal is to create embodied intelligence that perceives, understands, and interacts with 3D scenes, equipped with versatile kinematic functionalities. In addition to my research, I am an amateur photographer. Check out my photos here! |
News
We are looking for prospective students, research engineers and interns at PKU CoRe Lab! Join us to embark on an intellectual journey, exploring fascinating projects spanning various facets of cognitive reasoning, situated at the forefront of artificial intelligence!
- [Jul 2024] 🦾 Three papers on robotic manipulation are accepted (transferred) to IROS 2024, See you in Abu Dhabi!
- [Oral] Grasp Multiple Objects with One Hand, transferred from RA-L
- [Oral pitch] Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations
- [Oral pitch] PreAfford: Affordance-based Pre-grasping across Objects and Scenes
- [Jun 2024] I graduated from the Department of Automation, Tsinghua University with a bachelor's degree in engineering. I will join PKU Institute of AI as a PhD student working on cognitive robotics this Fall!
- [Mar 2024] 🦾 Check out our latest preprint: Tac-Man: Tactile-Informed Prior-Free Manipulation of Articulated Objects!
- [Feb 2024] 🦾 Grasp Multiple Objects with One Hand is accepted by IEEE Robotics and Automation Letters (RA-L)!
- [Jan 2024] 🚀 Our new project, Simulately, has been released! It provides handy information and resources for physics simulators in robotics and 3D computer vision research!
Acknowledgement
Appreciations to Yong "Kingsley" Wang, and Haoyu Chen for their assistance in maintaining this website.