Research

Publications


Direct LiDAR-Inertial Odometry and Mapping: Perceptive and Connective SLAM

arXiv

K. Chen, R. Nemiroff, and B.T. Lopez, “Direct LiDAR-Inertial Odometry and Mapping: Perceptive and Connective SLAM,” arXiv preprint arXiv:2305.01843, 2023.

Paper   


Joint On-Manifold Gravity and Accelerometer Intrinsics Estimation

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

R. Nemiroff, K. Chen, and B.T. Lopez, “Joint On-Manifold Gravity and Accelerometer Intrinsics Estimation,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, MI, USA, 2023, pp. 1388-1394, doi: 10.1109/IROS55552.2023.10342424.

Paper    Video   


Direct LiDAR-Inertial Odometry: Lightweight LIO with Continuous-Time Motion Correction

IEEE International Conference on Robotics and Automation (ICRA)

K. Chen, R. Nemiroff, and B.T. Lopez, “Direct LiDAR-Inertial Odometry: Lightweight LIO with Continuous-Time Motion Correction,” IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom, 2023, pp. 3983-3989, doi: 10.1109/ICRA48891.2023.10160508.

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Adaptive Coverage Path Planning for Efficient Exploration of Unknown Environments

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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), Kyoto, Japan, Oct 2022, pp. 11916-11923, doi: 10.1109/IROS47612.2022.9982287.

Paper   


Direct LiDAR Odometry: Fast Localization with Dense Point Clouds

IEEE Robotics and Automation Letters (RA-L)
IEEE International Conference on Robotics and Automation (ICRA)

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) vol. 7, no. 2, pp. 2000-2007, April 2022, doi: 10.1109/LRA.2022.3142739. Presented at ICRA 2022, Philadelphia, PA.

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Unsupervised Monocular Depth Learning with Integrated Intrinsics and Spatio-Temporal Constraints

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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), Prague, Czech Republic, Oct 2021, pp. 2451-2458, doi: 10.1109/IROS51168.2021.9636030.

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Resilient and Consistent Multirobot Cooperative Localization with Covariance Intersection

IEEE Transactions on Robotics (T-RO)

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.

Paper    Code   


Risk-Averse MPC via Visual-Inertial Input and Recurrent Networks for Online Collision Avoidance

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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), Las Vegas, NV, USA, Oct 2020, pp. 5730-5737, doi: 10.1109/IROS45743.2020.9341070. *Indicates equal contribution

Paper    Video   


Neural Correlates of Unstructured Motor Behaviors

Journal of Neural Engineering (JNE)

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.

Paper   


Patient-Specific Pose Estimation in Clinical Environments

IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

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.

Paper    Code    Video   


Dissertation / Thesis


Fast and Adaptive Geometric Robot Perception

UCLA

K.J. Chen, “Fast and Adaptive Geometric Robot Perception,” University of California Los Angeles, 2023.

Dissertation   


Continuous Behavior Acquisition in Clinical Environments

UC San Diego

K.J. Chen, “Continuous Behavior Acquisition in Clinical Environments,” University of California San Diego, 2018.

Thesis