Curriculum Vitae
Education
- Ph.D. Electrical and Computer Engineering, Expected 2023
- Institution: University of California, Los Angeles
- Dissertation: “Fast and Robust Geometric Robot Perception”
- M.S. Electrical Engineering, June 2018
- Institution: University of California, San Diego
- Thesis: “Continuous Behavior Acquisition in Clinical Environments”
- B.S. Electrical Engineering, June 2017
- Institution: University of California, San Diego
Research Experience
- Graduate Student Researcher, Sept 2021 - Present
- Verifiable & Control-Theoretic Robotics (VECTR) Laboratory, UCLA (Westwood, CA)
- Advised by Dr. Brett Lopez
- Graduate Student Researcher, Sept 2019 - June 2021
- University Collaborator, March 2020 - July 2021
- Graduate Student Researcher, Sept 2017 - June 2018
- ECE Summer Research Internship Program (SRIP), June 2017 - Sept 2017
- Undergraduate Student Researcher, Dec 2013 - June 2017
Work Experience
- Year-Round Internship Program, July 2021 - Sept 2021 • Internship
- Software Engineer - Computer Vision, Oct 2018 - Aug 2019 • Full-time
- COSMOS Robotics Teaching Assistant, May 2017 - Aug 2017 • Part-time
- Electronics & Payloads Technical Intern, June 2016 - Sept 2016 • Internship
- Contractor - Robotics Engineer, Oct 2015 - June 2016 • Part-time
- Naval Research Enterprise Internship Program (NREIP) - Robotics, June 2015 - Sept 2015 • Internship
- Math Tutor, Summer 2014 • Part-time
- Assistant Swim Coach, Summers 2010, 2011, 2012 • Part-time
Honors and Awards
Hardware / Software Skills
- Hardware: fast prototyping, sensor calibration, microcontrollers / SBCs
- Primary Languages: C/C++, Python, MATLAB
- Tools / Libraries: ROS, OpenCV, PCL, PyTorch, TensorFlow
- Preferred Workflow: neovim + tmux
Academic Services
- Reviewer for IEEE Robotics and Automation Letters (RA-L), 2021, 2022
- Reviewer for IEEE International Conference on Robotics and Automation (ICRA), 2022
- Reviewer for IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, 2022
- Reviewer for Robotics: Science and Systems (RSS), 2021
- Organizer for SoCal Robotics Symposium, 2020
Journal Articles
- K. Chen, B.T. Lopez, A. Agha-mohammadi, and A. Mehta, “Direct LiDAR Odometry: Fast Localization with Dense Point Clouds,” IEEE Robotics and Automation Letters (RA-L) with ICRA Presentation, vol. 7, no. 2, pp. 2000-2007, April 2022, doi: 10.1109/LRA.2022.3142739.
- T.K. Chang, K. Chen, A. Mehta, “Resilient and Consistent Multirobot Cooperative Localization with Covariance Intersection,” IEEE Transactions on Robotics, vol. 38, no. 1, pp. 197-208, Feb. 2022, doi: 10.1109/TRO.2021.3104965.
- P. Gabriel, K. Chen, A. Alasfour, T. Pailla, W.K. Doyle, O. Devinsky, D. Friedman, P. Dugan, L. Melloni, T. Thesen, D. Gonda, S. Sattar, S. Wang, and V. Gilja, “Neural Correlates of Unstructured Motor Behaviors,” Journal of Neural Engineering, vol. 16, no. 6, pp. 066026, 2019, doi: 10.1088/1741-2552/ab355c.
- K. Chen, P. Gabriel, A. Alasfour, C. Gong, W.K. Doyle, O. Devinsky, D. Friedman, L. Melloni, T. Thesen, D. Gonda, S. Sattar, S. Wang, and V. Gilja, “Patient-Specific Pose Estimation in Clinical Environments,” IEEE Journal of Translational Engineering in Health and Medicine, vol. 6, pp. 1-11, 2018, no. 2101111, doi: 10.1109/JTEHM.2018.2875464.
Conference Papers
- K. Chen, R. Nemiroff, and B.T. Lopez, “Direct LiDAR-Inertial Odometry: Lightweight LIO with Continuous-Time Motion Correction,” Submitted to IEEE International Conference on Robotics and Automation (ICRA), Sept 2022.
- A. Bouman, J. Ott, S.K. Kim, K. Chen, M. Kochenderfer, B.T. Lopez, A. Agha-mohammadi, and J. Burdick, “Adaptive Coverage Path Planning for Efficient Exploration of Unknown Environments,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), March 2022.
- K. Chen, A. Pogue, B.T. Lopez, A. Agha-mohammadi, and A. Mehta, “Unsupervised Monocular Depth Learning with Integrated Intrinsics and Spatio-Temporal Constraints,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct 2021, pp. 2451-2458, doi: 10.1109/IROS51168.2021.9636030.
- A. Schperberg*, K. Chen*, S. Tsuei, M. Jewett, J. Hooks, S. Soatto, A. Mehta, and D. Hong, “Risk-Averse MPC via Visual-Inertial Input and Recurrent Networks for Online Collision Avoidance,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct 2020, pp. 5730-5737, doi: 10.1109/IROS45743.2020.9341070. *Indicates equal contribution
Workshops, Posters, and Other Presentations
- K. Chen, R. Nemiroff, and B.T. Lopez, “Direct LiDAR-Inertial Odometry with Pose Graph Optimization,” Robotic Perception and Mapping: Emerging Techniques, IEEE International Conference on Robotics and Automation (ICRA), Philadelphia, PA, 2022. URL
- K. Chen, P. Gabriel, A. Alasfour, W.K. Doyle, O. Devinsky, D. Friedman, T. Thesen, and V. Gilja, “Patient-Specific Pose Estimation in a Clinical Environment,” SoCal Machine Learning Symposium, USC Viterbi School of Engineering, Los Angeles, CA, 2017. URL
- P. Gabriel, K. Chen, D. Gonda, S. Sattar, V. Gilja, and S. Wang, “Quantify Motor Semiology in the Pediatric Epilepsy Monitoring Unit using RGB-D Sensors,” American Epilepsy Society Annual Meeting, Washington, D.C., 2017.
- P. Gabriel, A. Alasfour, K. Chen, W.K. Doyle, D. Friedman, T. Thesen, and V. Gilja, “Neural Correlates to Automatic Behavior Estimations from RGB-D Video in Epilepsy Unit,” Research Expo, UC San Diego Jacobs School of Engineering, La Jolla, CA, 2016.
- K. Chen and J. Larson, “Towards an Autonomous Unmanned Surface Vehicle,” Team Internship Program Expo, UC San Diego Jacobs School of Engineering, La Jolla, 2015.
Thesis
- K.J. Chen, “Continuous Behavior Acquisition in Clinical Environments,” University of California San Diego, 2018.
