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Mo Chen

mochen72 _at_ stanford _dot_ edu

Mo Chen

Alumni · now at Simon Fraser University

Mo Chen was a postdoctoral researcher at the Autonomous Systems Lab. He completed his Ph.D. in the Electrical Engineering and Computer Sciences department at the University of California, Berkeley with Claire Tomlin in 2017, and received his BASc in Engineering Physics from the University of British Columbia in Vancouver, BC, Canada in 2011. Mo joined Simon Fraser University in Burnaby, BC, Canada as an Assistant Professor in the School of Computing Science in Fall 2018.

Mo’s research interests include robotics, multi-agent systems, safety-critical systems, motion planning, control theory, and computational methods. Currently, he is actively investigating theory and application of reachability analysis, applying control theoretic principles to machine learning, and human-robot interactions.

In his free time, Mo likes to play the piano, play chess, and learn about the universe.

Awards:

  • 2017 UC Berkeley EECS Eli Jury award
  • 2016 UC Berkeley EECS Demitri Angelakos Memorial
  • 2011, 2013 – 2015 Natural Sciences and Engineering Council of Canada (NSERC) Graduate Scholarship

Publications

8 publications · full lab bibliography

2020
  1. K. Leung, E. Schmerling, M. Zhang, M. Chen, J. Talbot, J. C. Gerdes, and M. Pavone, “On Infusing Reachability-Based Safety Assurance within Planning Frameworks for Human-Robot Vehicle Interactions,” Int. Journal of Robotics Research, vol. 39, no. 10--11, pp. 1326--1345, 2020.
2019
  1. B. Ivanovic, J. Harrison, A. Sharma, M. Chen, and M. Pavone, “BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning,” Proc. IEEE Conf. on Robotics and Automation, 2019.
  2. S. P. Chinchali, S. C. Livingston, M. Chen, and M. Pavone, “Multi-objective optimal control for proactive decision-making with temporal logic models,” Int. Journal of Robotics Research, vol. 38, no. 12-13, pp. 1490--1512, 2019.
2018
  1. J. Lorenzetti, M. Chen, B. Landry, and M. Pavone, “Reach-Avoid Games Via Mixed-Integer Second-Order Cone Programming,” Proc. IEEE Conf. on Decision and Control, 2018.
  2. B. Landry, M. Chen, S. Hemley, and M. Pavone, “Reach-Avoid Problems via Sum-of-Squares Optimization and Dynamic Programming,” IEEE/RSJ Int. Conf. on Intelligent Robots & Systems, 2018.
  3. S. Singh, M. Chen, S. L. Herbert, C. J. Tomlin, and M. Pavone, “Robust Tracking with Model Mismatch for Fast and Safe Planning: an SOS Optimization Approach,” Workshop on Algorithmic Foundations of Robotics, 2018.
  4. M. Chen, Q. Tam, S. C. Livingston, and M. Pavone, “Signal Temporal Logic meets Hamilton-Jacobi Reachability: Connections and Applications,” Workshop on Algorithmic Foundations of Robotics, 2018.
  5. K. Leung, E. Schmerling, M. Chen, J. Talbot, J. C. Gerdes, and M. Pavone, “On Infusing Reachability-Based Safety Assurance within Probabilistic Planning Frameworks for Human-Robot Vehicle Interactions,” Int. Symp. on Experimental Robotics, 2018.