Kaixin Chai
Scholar

Kaixin Chai

Google Scholar ID: X68Uhm4AAAAJ
Xi'an Jiaotong University
RoboticsRobot LearningManipulation
Citations & Impact
All-time
Citations
67
 
H-index
2
 
i10-index
2
 
Publications
7
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • Involved in projects such as 'Learning visuomotor whole-body skills from human video demonstrations', 'N2M: Bridging Navigation and Manipulation by Learning Initial Pose Preference from Rollout' (co-contributed with Hyunjun Lee), 'Tracailer: An Efficient Trajectory Planner for Tractor-Trailer Vehicles in Unstructured Environments', 'LEMON-Mapping: Loop-Enhanced Large-Scale Multi-Session Point Cloud Merging and Optimization for Globally Consistent Mapping', 'Lightweight Multi-Robot LiDAR SLAM Framework with Loop Closure', and 'Build Mobile Manipulation Hardware and Execute Long-Horizon Tasks'.
Research Experience
  • Worked on robot navigation, control, and perception under the guidance of Fei Gao; current research focuses include learning visuomotor whole-body skills from human video demonstrations, developing N2M to optimize robot positioning for mobile manipulation tasks, etc.
Education
  • Graduated from Xi'an Jiaotong University with a Bachelor's degree in Engineering in 2022; currently a PhD student at KAIST, Seoul, advised by Joseph J. Lim.
Background
  • Research interests: mobile robot interaction with environments, particularly skill learning and data sources. Recently exploring methods for learning interaction skills from human videos.
Miscellany
  • Passionate about robotics technology, grateful for the guidance from mentors and companionship from labmates.