Low-rank representation of neural activity and detection of submovements. - Young Hwan Chang; Mo Chen 001; Suraj Gowda; Simon A. Overduin; Jose M. Carmena; Claire J. Tomlin (CDC, 2013)

Contract design for frequency regulation by aggregations of commercial buildings. - Maximilian Balandat; Frauke Oldewurtel; Mo Chen 001; Claire J. Tomlin (Allerton, 2014)

Multiplayer reach-avoid games via low dimensional solutions and maximum matching. - Mo Chen 001; Zhengyuan Zhou; Claire J. Tomlin (ACC, 2014)

A path defense approach to the multiplayer reach-avoid game. - Mo Chen 001; Zhengyuan Zhou; Claire J. Tomlin (CDC, 2014)

Design of a neural decoder by sensory prediction and error correction. - Junkai Lu; Mo Chen 001; Young Hwan Chang; Masayoshi Tomizuka; Jose M. Carmena; Claire J. Tomlin (CDC, 2014)

A design of neural decoder by reducing discrepancy between Manual Control (MC) and Brain Control (BC). - Young Hwan Chang; Mo Chen 001; Maryam Shanechi; Jose M. Carmena; Claire J. Tomlin (ECC, 2014)

Safe platooning of unmanned aerial vehicles via reachability. - Mo Chen 001; Qie Hu; Casey Mackin; Jaime F. Fisac; Claire J. Tomlin (CDC, 2015)

Exact and efficient Hamilton-Jacobi reachability for decoupled systems. - Mo Chen 001; Claire J. Tomlin (CDC, 2015)

Safe sequential path planning of multi-vehicle systems via double-obstacle Hamilton-Jacobi-Isaacs variational inequality. - Mo Chen 001; Jaime F. Fisac; Shankar Sastry 001; Claire J. Tomlin (ECC, 2015)

Reach-avoid problems with time-varying dynamics, targets and constraints. - Jaime F. Fisac; Mo Chen 001; Claire J. Tomlin; S. Shankar Sastry (HSCC, 2015)

Accelerating Submovement Decomposition With Search-Space Reduction Heuristics. - Suraj Gowda; Simon A. Overduin; Mo Chen 001; Young Hwan Chang; Claire J. Tomlin; Jose M. Carmena (IEEE Trans. Biomed. Eng., 2015)

Fast reachable set approximations via state decoupling disturbances. - Mo Chen 001; Sylvia L. Herbert; Claire J. Tomlin (CDC, 2016)

Multi-vehicle collision avoidance via hamilton-jacobi reachability and mixed integer programming. - Mo Chen 001; Jennifer C. Shih; Claire J. Tomlin (CDC, 2016)

Safe Sequential Path Planning of Multi-Vehicle Systems Under Presence of Disturbances and Imperfect Information. - Somil Bansal; Mo Chen 001; Jaime F. Fisac; Claire J. Tomlin (CoRR, 2016)

Robust Sequential Path Planning Under Disturbances and Adversarial Intruder. - Mo Chen 001; Somil Bansal; Jaime F. Fisac; Claire J. Tomlin (CoRR, 2016)

Guaranteeing Safety and Liveness of Unmanned Aerial Vehicle Platoons on Air Highways. - Mo Chen 001; Qie Hu; Jaime F. Fisac; Anayo K. Akametalu; Casey Mackin; Claire J. Tomlin (CoRR, 2016)

Using Neural Networks for Fast Reachable Set Computations. - Frank Jiang 003; Glen Chou; Mo Chen 001; Claire J. Tomlin (CoRR, 2016)

Safe sequential path planning under disturbances and imperfect information. - Somil Bansal; Mo Chen 001; Jaime F. Fisac; Claire J. Tomlin (ACC, 2017)

Hamilton-Jacobi reachability: A brief overview and recent advances. - Somil Bansal; Mo Chen 001; Sylvia L. Herbert; Claire J. Tomlin (CDC, 2017)

A hybrid framework for multi-vehicle collision avoidance. - Aparna Dhinakaran; Mo Chen 001; Glen Chou; Jennifer C. Shih; Claire J. Tomlin (CDC, 2017)

FaSTrack: A modular framework for fast and guaranteed safe motion planning. - Sylvia L. Herbert; Mo Chen 001; SooJean Han; Somil Bansal; Jaime F. Fisac; Claire J. Tomlin (CDC, 2017)

Exact and efficient Hamilton-Jacobi guaranteed safety analysis via system decomposition. - Mo Chen 001; Sylvia L. Herbert; Claire J. Tomlin (ICRA, 2017)

Provably Safe and Robust Drone Routing via Sequential Path Planning: A Case Study in San Francisco and the Bay Area. - Mo Chen 001; Somil Bansal; Ken Tanabe; Claire J. Tomlin (CoRR, 2017)

Safe and Resilient Multi-vehicle Trajectory Planning Under Adversarial Intruder. - Somil Bansal; Mo Chen 001; Claire J. Tomlin (CoRR, 2017)

Multiplayer Reach-Avoid Games via Pairwise Outcomes. - Mo Chen 001; Zhengyuan Zhou; Claire J. Tomlin (IEEE Trans. Autom. Control., 2017)

High Dimensional Reachability Analysis: Addressing the Curse of Dimensionality in Formal Verification. - Mo Chen 001 (2017)

Plug and Play Distributed Model Predictive Control for Heavy Duty Vehicle Platooning and Interaction with Passenger Vehicles. - Haimin Hu; Ye Pu; Mo Chen 001; Claire J. Tomlin (CDC, 2018)

Reach-Avoid Games Via Mixed-Integer Second-Order Cone Programming. - Joseph Lorenzetti; Mo Chen 001; Benoit Landry; Marco Pavone 001 (CDC, 2018)

Reach-Avoid Problems via Sum-or-Squares Optimization and Dynamic Programming. - Benoit Landry; Mo Chen 001; Scott Hemley; Marco Pavone 001 (IROS, 2018)

On Infusing Reachability-Based Safety Assurance Within Probabilistic Planning Frameworks for Human-Robot Vehicle Interactions. - Karen Leung; Edward Schmerling; Mo Chen 001; John Talbot; J. Christian Gerdes; Marco Pavone 001 (ISER, 2018)

Signal Temporal Logic Meets Reachability: Connections and Applications. - Mo Chen 001; Qizhan Tam; Scott C. Livingston; Marco Pavone 001 (WAFR, 2018)

Robust Tracking with Model Mismatch for Fast and Safe Planning: An SOS Optimization Approach. - Sumeet Singh; Mo Chen 001; Sylvia L. Herbert; Claire J. Tomlin; Marco Pavone 001 (WAFR, 2018)

Hamilton-Jacobi Reachability: Some Recent Theoretical Advances and Applications in Unmanned Airspace Management. - Mo Chen 001; Claire J. Tomlin (Annu. Rev. Control. Robotics Auton. Syst., 2018)

Reach-Avoid Problems via Sum-of-Squares Optimization and Dynamic Programming. - Benoit Landry; Mo Chen 001; Scott Hemley; Marco Pavone 001 (CoRR, 2018)

Decomposition of Reachable Sets and Tubes for a Class of Nonlinear Systems. - Mo Chen 001; Sylvia L. Herbert; Mahesh S. Vashishtha; Somil Bansal; Claire J. Tomlin (IEEE Trans. Autom. Control., 2018)

BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning. - Boris Ivanovic; James Harrison; Apoorva Sharma; Mo Chen 001; Marco Pavone 001 (ICRA, 2019)

Removing Leaking Corners to Reduce Dimensionality in Hamilton-Jacobi Reachability. - Donggun Lee; Mo Chen 001; Claire J. Tomlin (ICRA, 2019)

TTR-Based Rewards for Reinforcement Learning with Implicit Model Priors. - Xubo Lyu; Mo Chen 001 (CoRR, 2019)

Safe Coverage of Compact Domains For Second Order Dynamical Systems. - Juan Chacon; Mo Chen 001; Razvan C. Fetecau (CoRR, 2019)

Multi-objective optimal control for proactive decision making with temporal logic models. - Sandeep P. Chinchali; Scott C. Livingston; Mo Chen 001; Marco Pavone 001 (Int. J. Robotics Res., 2019)

Robust Sequential Trajectory Planning Under Disturbances and Adversarial Intruder. - Mo Chen 001; Somil Bansal; Jaime F. Fisac; Claire J. Tomlin (IEEE Trans. Control. Syst. Technol., 2019)

Safety-Guaranteed Real-Time Trajectory Planning for Underwater Vehicles in Plane-Progressive Waves. - Seth Siriya; Minh Bui; Arrvindh Shriraman; Mo Chen 001; Ye Pu (CDC, 2020)

Recognizing and Tracking High-Level, Human-Meaningful Navigation Features of Occupancy Grid Maps. - Payam Nikdel; Mo Chen 001; Richard Vaughan 001 (CRV, 2020)

TTR-Based Reward for Reinforcement Learning with Implicit Model Priors. - Xubo Lyu; Mo Chen 001 (IROS, 2020)

Generating Robust Supervision for Learning-Based Visual Navigation Using Hamilton-Jacobi Reachability. - Anjian Li; Somil Bansal; Georgios Giovanis; Varun Tolani; Claire J. Tomlin; Mo Chen 001 (L4DC, 2020)

SFU-Store-Nav: A Multimodal Dataset for Indoor Human Navigation. - Zhitian Zhang; Jimin Rhim; Taher Ahmadi; Kefan Yang; Angelica Lim; Mo Chen 001 (CoRR, 2020)

MBB: Model-Based Baseline for Efficient Reinforcement Learning. - Xubo Lyu; Site Li; Seth Siriya; Ye Pu; Mo Chen 001 (CoRR, 2020)

On infusing reachability-based safety assurance within planning frameworks for human-robot vehicle interactions. - Karen Leung; Edward Schmerling; Mengxuan Zhang 002; Mo Chen 001; John Talbot; J. Christian Gerdes; Marco Pavone 001 (Int. J. Robotics Res., 2020)

PA-FaSTrack: Planner-Aware Real-Time Guaranteed Safe Planning. - Atefeh Sahraeekhanghah; Mo Chen 001 (CDC, 2021)

Prediction-Based Reachability for Collision Avoidance in Autonomous Driving. - Anjian Li; Liting Sun; Wei Zhan; Masayoshi Tomizuka; Mo Chen 001 (ICRA, 2021)

LBGP: Learning Based Goal Planning for Autonomous Following in Front. - Payam Nikdel; Richard Vaughan 001; Mo Chen 001 (ICRA, 2021)

Real-Time Hamilton-Jacobi Reachability Analysis of Autonomous System With An FPGA. - Minh Bui; Michael Lu; Reza Hojabr; Mo Chen 001; Arrvindh Shriraman (IROS, 2021)

A Multimodal and Hybrid Framework for Human Navigational Intent Inference. - Zhitian Zhang; Jimin Rhim; Angelica Lim; Mo Chen 001 (IROS, 2021)

A Deeper Look at Autonomous Vehicle Ethics: An Integrative Ethical Decision-Making Framework to Explain Moral Pluralism. - Jimin Rhim; Ji-Hyun Lee; Mo Chen 001; Angelica Lim (Frontiers Robotics AI, 2021)

Toward Observation Based Least Restrictive Collision Avoidance Using Deep Meta Reinforcement Learning. - Salar Asayesh; Mo Chen 001; Mehran Mehrandezh; Kamal Gupta 001 (IEEE Robotics Autom. Lett., 2021)

FaSTrack: A Modular Framework for Real-Time Motion Planning and Guaranteed Safe Tracking. - Mo Chen 001; Sylvia L. Herbert; Haimin Hu; Ye Pu; Jaime Fernández Fisac; Somil Bansal; SooJean Han; Claire J. Tomlin (IEEE Trans. Autom. Control., 2021)

Provably Safe and Scalable Multivehicle Trajectory Planning. - Somil Bansal; Mo Chen 001; Ken Tanabe; Claire J. Tomlin (IEEE Trans. Control. Syst. Technol., 2021)

Real-time Mapping of Multi-Floor Buildings Using Elevators. - Sahar Leisiazar; Mohammad Mahdavian; Edward J. Park; Mo Chen 001 (AIM, 2022)

Human Navigational Intent Inference with Probabilistic and Optimal Approaches. - Pedram Agand; Mahdi Taherahmadi; Angelica Lim; Mo Chen 001 (ICRA, 2022)

Towards Inclusive HRI: Using Sim2Real to Address Underrepresentation in Emotion Expression Recognition. - Saba Akhyani; Mehryar Abbasi Boroujeni; Mo Chen 001; Angelica Lim (IROS, 2022)

Gesture2Vec: Clustering Gestures using Representation Learning Methods for Co-speech Gesture Generation. - Payam Jome Yazdian; Mo Chen 001; Angelica Lim (IROS, 2022)

Least-Restrictive Multi-agent Collision Avoidance via Deep Meta Reinforcement Learning and Optimal Control. - Salar Asayesh; Mo Chen 001; Mehran Mehrandezh; Kamal Gupta 001 (RiTA, 2022)

Multi-Agent Asynchronous Cooperation with Hierarchical Reinforcement Learning. - Xubo Lyu; Amin Banitalebi-Dehkordi; Mo Chen 001; Yong Zhang 004 (CoRR, 2022)

STPOTR: Simultaneous Human Trajectory and Pose Prediction Using a Non-Autoregressive Transformer for Robot Following Ahead. - Mohammad Mahdavian; Payam Nikdel; Mahdi Taherahmadi; Mo Chen 001 (CoRR, 2022)

DMMGAN: Diverse Multi Motion Prediction of 3D Human Joints using Attention-Based Generative Adverserial Network. - Payam Nikdel; Mohammad Mahdavian; Mo Chen 001 (CoRR, 2022)

Robust Visual Teach and Repeat for UGVs Using 3D Semantic Maps. - Mohammad Mahdavian; KangKang Yin; Mo Chen 001 (IEEE Robotics Autom. Lett., 2022)

Multi-Agent Reach-Avoid Games: Two Attackers Versus One Defender and Mixed Integer Programming. - Hanyang Hu; Minh Bui; Mo Chen 001 (CDC, 2023)

Task-Oriented Koopman-Based Control with Contrastive Encoder. - Xubo Lyu; Hanyang Hu; Seth Siriya; Ye Pu; Mo Chen 001 (CoRL, 2023)

STPOTR: Simultaneous Human Trajectory and Pose Prediction Using a Non-Autoregressive Transformer for Robot Follow-Ahead. - Mohammad Mahdavian; Payam Nikdel; Mahdi Taherahmadi; Mo Chen 001 (ICRA, 2023)

DMMGAN: Diverse Multi Motion Prediction of 3D Human Joints using Attention-Based Generative Adversarial Network. - Payam Nikdel; Mohammad Mahdavian; Mo Chen 001 (ICRA, 2023)

Online Probabilistic Model Identification Using Adaptive Recursive MCMC. - Pedram Agand; Mo Chen 001; Hamid D. Taghirad (IJCNN, 2023)

Deep Reinforcement Learning-Based Intelligent Traffic Signal Controls with Optimized CO2 Emissions. - Pedram Agand; Alexey Iskrov; Mo Chen 001 (IROS, 2023)

An MCTS-DRL Based Obstacle and Occlusion Avoidance Methodology in Robotic Follow-Ahead Applications. - Sahar Leisiazar; Edward J. Park; Angelica Lim; Mo Chen 001 (IROS, 2023)

Asynchronous, Option-Based Multi-Agent Policy Gradient: A Conditional Reasoning Approach. - Xubo Lyu; Amin Banitalebi-Dehkordi; Mo Chen 001; Yong Zhang 004 (IROS, 2023)

Efficient Domain Coverage for Vehicles with Second-Order Dynamics via Multi-Agent Reinforcement Learning. - Xinyu Zhao; Razvan C. Fetecau; Mo Chen 001 (IROS, 2023)

Hierarchical Planning and Policy Shaping Shared Autonomy for Articulated Robots. - Ehsan Yousefi; Mo Chen 001; Inna Sharf (CoRR, 2023)

Toward Scalable Visual Servoing Using Deep Reinforcement Learning and Optimal Control. - Salar Asayesh; Hossein Sheikhi Darani; Mo Chen 001; Mehran Mehrandezh; Kamal Gupta 001 (CoRR, 2023)

Fuel Consumption Prediction for a Passenger Ferry using Machine Learning and In-service Data: A Comparative Study. - Pedram Agand; Allison Kennedy; Trevor Harris; Chanwoo Bae; Mo Chen 001; Edward J. Park (CoRR, 2023)

LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task Learning. - Pedram Agand; Mohammad Mahdavian; Manolis Savva; Mo Chen 001 (CoRR, 2023)

Efficient and Guaranteed Hamilton-Jacobi Reachability via Self-Contained Subsystem Decomposition and Admissible Control Sets. - Chong He; Zheng Gong; Mo Chen 001; Sylvia L. Herbert (IEEE Control. Syst. Lett., 2023)

Safe Coverage of Moving Domains for Vehicles With Second-Order Dynamics. - Juan Chacon; Mo Chen 001; Razvan C. Fetecau (IEEE Trans. Autom. Control., 2023)

Sequential Modeling of Complex Marine Navigation: Case Study on a Passenger Vessel (Student Abstract). - Yimeng Fan; Pedram Agand; Mo Chen 001; Edward J. Park; Allison Kennedy; Chanwoo Bae (AAAI, 2024)

Guaranteed Completion of Complex Tasks via Temporal Logic Trees and Hamilton-Jacobi Reachability. - Frank J. Jiang; Kaj Munhoz Arfvidsson; Chong He; Mo Chen 001; Karl Henrik Johansson (CDC, 2024)

DMFuser: Distilled Multi-Task Learning for End-to-end Transformer-Based Sensor Fusion in Autonomous Driving. - Pedram Agand; Mohammad Mahdavian; Manolis Savva; Mo Chen 001 (IROS, 2024)

Predicting Long-Term Human Behaviors in Discrete Representations via Physics-Guided Diffusion. - Zhitian Zhang; Anjian Li; Angelica Lim; Mo Chen 001 (IROS, 2024)

DMODE: Differential Monocular Object Distance Estimation Module Without Class Specific Information. - Pedram Agand; Michael Chang; Mo Chen 001 (RoMoCo, 2024)

Learning Robust Policies via Interpretable Hamilton-Jacobi Reachability-Guided Disturbances. - Hanyang Hu; Xilun Zhang; Xubo Lyu; Mo Chen 001 (CoRR, 2024)

Language Supervised Human Action Recognition with Salient Fusion: Construction Worker Action Recognition as a Use Case. - Mohammad Mahdavian; Mohammad Loni; Mo Chen 001 (CoRR, 2024)

TileTracker: Tracking Based Vector HD Mapping using Top-Down Road Images. - Mohammad Mahdavian; Mo Chen 001; Yu Zhang (CoRR, 2024)

Towards Fast and Safety-Guaranteed Trajectory Planning and Tracking for Time-Varying Systems. - Seth Siriya; Mo Chen 001; Ye Pu (CoRR, 2024)

Shared autonomy policy fine-tuning and alignment for robotic tasks. - Ehsan Yousefi; Mo Chen 001; Inna Sharf (Int. J. Robotics Res., 2025)

Baseline Policy Adapting and Abstraction of Shared Autonomy for High-Level Robot Operations. - Ehsan Yousefi; Mo Chen 001; Inna Sharf (IEEE Trans. Robotics, 2025)

Unifying Model Predictive Path Integral Control, Reinforcement Learning, and Diffusion Models for Optimal Control and Planning. - Yankai Li; Mo Chen 001 (CoRR, 2025)

Adapting to Frequent Human Direction Changes in Autonomous Frontal Following Robots. - Sahar Leisiazar; Seyed Roozbeh Razavi Rohani; Edward J. Park; Angelica Lim; Mo Chen 001 (IEEE Robotics Autom. Lett., 2025)

HJRNO: Hamilton-Jacobi Reachability with Neural Operators. - Yankai Li; Mo Chen 001 (CoRR, 2025)

Toward Fast and Safety-Guaranteed Trajectory Planning and Tracking for Time-Varying Systems. - Seth Siriya; Mo Chen 001; Ye Pu (IEEE Trans. Autom. Control., 2025)