Mo Chen
Orcid: 0000-0001-8506-3665Affiliations:
- Simon Fraser University (SFU), School of Computing Science, Burnaby, BC, Canada
- Stanford University, Department of Aeronautics and Astronautics, CA, USA (2017-2018)
- University of California, Berkeley, Department of Electrical Engineering and Computer Sciences, CA, USA (PhD 2017)
According to our database1,
Mo Chen
authored at least 88 papers
between 2013 and 2025.
Collaborative distances:
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Bibliography
2025
Toward Fast and Safety-Guaranteed Trajectory Planning and Tracking for Time-Varying Systems.
IEEE Trans. Autom. Control., August, 2025
IEEE Robotics Autom. Lett., March, 2025
Unifying Model Predictive Path Integral Control, Reinforcement Learning, and Diffusion Models for Optimal Control and Planning.
CoRR, February, 2025
Baseline Policy Adapting and Abstraction of Shared Autonomy for High-Level Robot Operations.
IEEE Trans. Robotics, 2025
2024
Towards Fast and Safety-Guaranteed Trajectory Planning and Tracking for Time-Varying Systems.
CoRR, 2024
Learning Robust Policies via Interpretable Hamilton-Jacobi Reachability-Guided Disturbances.
CoRR, 2024
DMODE: Differential Monocular Object Distance Estimation Module Without Class Specific Information.
Proceedings of the 13th International Workshop on Robot Motion and Control, 2024
Predicting Long-Term Human Behaviors in Discrete Representations via Physics-Guided Diffusion.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
DMFuser: Distilled Multi-Task Learning for End-to-end Transformer-Based Sensor Fusion in Autonomous Driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Guaranteed Completion of Complex Tasks via Temporal Logic Trees and Hamilton-Jacobi Reachability.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024
2023
IEEE Trans. Autom. Control., 2023
Efficient and Guaranteed Hamilton-Jacobi Reachability via Self-Contained Subsystem Decomposition and Admissible Control Sets.
IEEE Control. Syst. Lett., 2023
LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task Learning.
CoRR, 2023
Toward Scalable Visual Servoing Using Deep Reinforcement Learning and Optimal Control.
CoRR, 2023
Efficient Domain Coverage for Vehicles with Second-Order Dynamics via Multi-Agent Reinforcement Learning.
IROS, 2023
Asynchronous, Option-Based Multi-Agent Policy Gradient: A Conditional Reasoning Approach.
IROS, 2023
An MCTS-DRL Based Obstacle and Occlusion Avoidance Methodology in Robotic Follow-Ahead Applications.
IROS, 2023
Deep Reinforcement Learning-Based Intelligent Traffic Signal Controls with Optimized CO2 Emissions.
IROS, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
DMMGAN: Diverse Multi Motion Prediction of 3D Human Joints using Attention-Based Generative Adversarial Network.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
STPOTR: Simultaneous Human Trajectory and Pose Prediction Using a Non-Autoregressive Transformer for Robot Follow-Ahead.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the Conference on Robot Learning, 2023
Multi-Agent Reach-Avoid Games: Two Attackers Versus One Defender and Mixed Integer Programming.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
IEEE Robotics Autom. Lett., 2022
CoRR, 2022
Least-Restrictive Multi-agent Collision Avoidance via Deep Meta Reinforcement Learning and Optimal Control.
Proceedings of the Robot Intelligence Technology and Applications 7, 2022
Gesture2Vec: Clustering Gestures using Representation Learning Methods for Co-speech Gesture Generation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Towards Inclusive HRI: Using Sim2Real to Address Underrepresentation in Emotion Expression Recognition.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2022
2021
IEEE Trans. Control. Syst. Technol., 2021
FaSTrack: A Modular Framework for Real-Time Motion Planning and Guaranteed Safe Tracking.
IEEE Trans. Autom. Control., 2021
Toward Observation Based Least Restrictive Collision Avoidance Using Deep Meta Reinforcement Learning.
IEEE Robotics Autom. Lett., 2021
A Deeper Look at Autonomous Vehicle Ethics: An Integrative Ethical Decision-Making Framework to Explain Moral Pluralism.
Frontiers Robotics AI, 2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
On infusing reachability-based safety assurance within planning frameworks for human-robot vehicle interactions.
Int. J. Robotics Res., 2020
Generating Robust Supervision for Learning-Based Visual Navigation Using Hamilton-Jacobi Reachability.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Recognizing and Tracking High-Level, Human-Meaningful Navigation Features of Occupancy Grid Maps.
Proceedings of the 17th Conference on Computer and Robot Vision, 2020
Safety-Guaranteed Real-Time Trajectory Planning for Underwater Vehicles in Plane-Progressive Waves.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
IEEE Trans. Control. Syst. Technol., 2019
Multi-objective optimal control for proactive decision making with temporal logic models.
Int. J. Robotics Res., 2019
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the International Conference on Robotics and Automation, 2019
2018
IEEE Trans. Autom. Control., 2018
CoRR, 2018
Hamilton-Jacobi Reachability: Some Recent Theoretical Advances and Applications in Unmanned Airspace Management.
Annu. Rev. Control. Robotics Auton. Syst., 2018
Robust Tracking with Model Mismatch for Fast and Safe Planning: An SOS Optimization Approach.
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018
On Infusing Reachability-Based Safety Assurance Within Probabilistic Planning Frameworks for Human-Robot Vehicle Interactions.
Proceedings of the 2018 International Symposium on Experimental Robotics, 2018
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Plug and Play Distributed Model Predictive Control for Heavy Duty Vehicle Platooning and Interaction with Passenger Vehicles.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
High Dimensional Reachability Analysis: Addressing the Curse of Dimensionality in Formal Verification.
PhD thesis, 2017
IEEE Trans. Autom. Control., 2017
CoRR, 2017
Provably Safe and Robust Drone Routing via Sequential Path Planning: A Case Study in San Francisco and the Bay Area.
CoRR, 2017
Exact and efficient Hamilton-Jacobi guaranteed safety analysis via system decomposition.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Proceedings of the 2017 American Control Conference, 2017
2016
Guaranteeing Safety and Liveness of Unmanned Aerial Vehicle Platoons on Air Highways.
CoRR, 2016
CoRR, 2016
Safe Sequential Path Planning of Multi-Vehicle Systems Under Presence of Disturbances and Imperfect Information.
CoRR, 2016
Multi-vehicle collision avoidance via hamilton-jacobi reachability and mixed integer programming.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2015
IEEE Trans. Biomed. Eng., 2015
Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control, 2015
Safe sequential path planning of multi-vehicle systems via double-obstacle Hamilton-Jacobi-Isaacs variational inequality.
Proceedings of the 14th European Control Conference, 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
2014
A design of neural decoder by reducing discrepancy between Manual Control (MC) and Brain Control (BC).
Proceedings of the 13th European Control Conference, 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Proceedings of the American Control Conference, 2014
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014
2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013