Seungchan Kim
Scholar

Seungchan Kim

Google Scholar ID: hcm1rYQAAAAJ
Carnegie Mellon University
RoboticsExplorationMulti-Robot SystemsActive PerceptionEmbodied AI
Citations & Impact
All-time
Citations
384
 
H-index
7
 
i10-index
7
 
Publications
17
 
Co-authors
27
list available
Resume (English only)
Academic Achievements
  • Started a research internship at Field AI in September 2025; two papers accepted to IROS 2025 in June 2025; attended ICRA 2025 to present MapEx in May 2025; passed the PhD Thesis Proposal in December 2024.
Research Experience
  • Currently a Ph.D. candidate at the Robotics Institute, Carnegie Mellon University, focusing on spatial reasoning and semantic representations; previously conducted research on deep reinforcement learning at Brown University.
Education
  • Ph.D. candidate: Robotics Institute, Carnegie Mellon University, advised by Sebastian Scherer; M.S. in Computer Science from Brown University, advised by George Konidaris and Michael Littman; B.S. in Applied Mathematics & Computer Science from Brown University.
Background
  • Research interests: spatial reasoning and semantic representations to advance robot exploration and navigation, with applications to UAVs and multi-robot systems. Robotics research intern at Field AI.
Miscellany
  • Personal interests not mentioned