Chao Tang
Scholar

Chao Tang

Google Scholar ID: hXGhWsUAAAAJ
Postdoctoral Researcher @ RPL, KTH
RoboticsPerception
Citations & Impact
All-time
Citations
376
 
H-index
9
 
i10-index
8
 
Publications
20
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • Publications:
  • - MimicFunc: Imitating Tool Manipulation from a Single Human Video via Functional Correspondence, CoRL 2025
  • - FoundationGrasp: Generalizable Task-Oriented Grasping with Foundation Models, T-ASE 2025
  • - RTAGrasp: Learning Task-Oriented Grasping from Human Videos via Retrieval, Transfer, and Alignment, ICRA 2025
  • - Commonsense Scene Graph-based Target Localization for Object Search, EDM Workshop @ IROS 2024 Best Paper Finalist
Research Experience
  • Current position: Postdoctoral Researcher at RPL, KTH;
  • Involved in multiple research projects such as imitating tool manipulation skills (MimicFunc), diffusion-based task-oriented grasping, and LLM-based task planning.
Education
  • Postdoctoral Researcher, Division of Robotics, Perception and Learning (RPL), KTH Royal Institute of Technology, Advisor: Prof. Danica Kragic;
  • Ph.D., Southern University of Science and Technology (SUSTech), Advisor: Chair Professor Hong Zhang;
  • Visiting Ph.D. Student, School of Computing, National University of Singapore (NUS), Advisor: Chair Professor David Hsu;
  • M.S. in Electrical and Computer Engineering, Georgia Tech, 2020, Advisor: Prof. Patricio Vela;
  • B.Eng. in Automation, Nanjing Tech University, 2018.
Background
  • Research interests include robotic manipulation and grasping, mobile manipulation, human-robot interaction, and semantic reasoning for robots. The ultimate goal is to develop autonomous agents capable of perceiving, reasoning, and interacting with the physical world at a human level of intelligence. Recently, my work has focused on building generalizable frameworks for robotic manipulation and grasping by leveraging the capabilities of foundation models.
Miscellany
  • Personal interests and other information not mentioned in the provided HTML content.