Lin Shao
Scholar

Lin Shao

Google Scholar ID: UU76Pg4AAAAJ
National University of Singapore
roboticscognitive sciencereinforcement learningconcept learningcomputer vision
Citations & Impact
All-time
Citations
1,244
 
H-index
20
 
i10-index
27
 
Publications
20
 
Co-authors
25
list available
Resume (English only)
Academic Achievements
  • Best Paper Award @ ICRA 2025 Workshop on Human-Centric Teleoperation; Best Paper Award on Robot Manipulation and Locomotion at ICRA 2025; Best Robotics Paper Award at CoRL workshop; Multiple papers accepted at NeurIPS 2024, CoRL 2024, IJRR, etc.
Research Experience
  • Assistant Professor at the Department of Computer Science, School of Computing, National University of Singapore; Invited talks at multiple international conferences and workshops.
Education
  • Ph.D. from Stanford University, advised by Professor Jeannette Bohg and co-advised by Professor Leonidas J. Guibas; Undergraduate at Nanjing University.
Background
  • Research interests: Intersection of robotics and artificial intelligence. Long-term goal: to build general-purpose robotic systems that can intelligently perform a wide range of tasks in various environments. Specifically, his group focuses on developing algorithms and systems for robot perception and manipulation. He serves as a co-chair of the Technical Committee on Robot Learning in the IEEE Robotics and Automation Society and as an Associate Editor for IEEE Robotics and Automation Letters.
Miscellany
  • Looking for student researchers, postdocs, summer interns, and visiting students to join his group at NUS. Interested candidates are encouraged to send their CV via email.