Scholar
Kenny J. Chen
Google Scholar ID: _pTzklEAAAAJ
FieldAI, UCLA
Citations & Impact
Citations
577
H-index
8
i10-index
6
Publications
13
Co-authors
0
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- No specific academic achievements listed.
Research Experience
- Applied Scientist & Software Engineer at FieldAI, leading the Calibration, Localization, and Mapping (CLAM) team that develops core geometric perception algorithms for autonomous robots operating in unstructured environments. Developed a set of state-of-the-art LiDAR SLAM algorithms used in the DARPA Subterranean Challenge as part of NASA JPL’s solution.
Education
- Ph.D. from UCLA, advised by Dr. Brett Lopez at the Verifiable & Control-Theoretic Robotics (VECTR) Laboratory; B.S./M.S. from UC San Diego.
Background
- Broadly interested in robotic perception, spanning fields such as computer vision, machine learning, state estimation, and numerical optimization. Long-term research objective is to enable fast and robust, human-like geometric and semantic perception capabilities for mobile robots through innovative algorithmic design grounded by first principles.
Miscellany
- Life goals include seeing the Clippers win an NBA championship.
Co-authors