Mo Chen

収録論文 38本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• A Hamilton-Jacobi Reachability-Guided Search Framework for Efficient and Safe Indoor Planar Robot Navigation
  2026/4/1
• Fast Confidence-Aware Human Prediction via Hardware-accelerated Bayesian Inference for Safe Robot Navigation
  2026/3/1
• Implicit Maximum Likelihood Estimation for Real-time Generative Model Predictive Control
  2026/3/1
• Beyond Static Datasets: Robust Offline Policy Optimization via Vetted Synthetic Transitions
  2026/1/1
• Integrated YOLOP Perception and Lyapunov-based Control for Autonomous Mobile Robot Navigation on Track
  2025/12/1
• Bayesian Optimization Parameter Tuning Framework for a Lyapunov Based Path Following Controller
  2025/12/1
• Threshold Strategy for Leaking Corner-Free Hamilton-Jacobi Reachability with Decomposed Computations
  2025/5/1
• HJRNO: Hamilton-Jacobi Reachability with Neural Operators
  2025/4/1
• Towards Fast and Safety-Guaranteed Trajectory Planning and Tracking for Time-Varying Systems
  2024/12/1
• LS-HAR: Language Supervised Human Action Recognition with Salient Fusion, Construction Sites as a Use-Case
  2024/10/1
• Learning Robust Policies via Interpretable Hamilton-Jacobi Reachability-Guided Disturbances
  2024/9/1
• Predicting Long-Term Human Behaviors in Discrete Representations via Physics-Guided Diffusion
  2024/5/1
• Guaranteed Completion of Complex Tasks via Temporal Logic Trees and Hamilton-Jacobi Reachability
  2024/4/1
• Trajectory Planning Using Reinforcement Learning for Interactive Overtaking Maneuvers in Autonomous Racing Scenarios
  2024/4/1
• An MCTS-DRL Based Obstacle and Occlusion Avoidance Methodology in Robotic Follow-Ahead Applications
  2023/9/1
• Task-Oriented Koopman-Based Control with Contrastive Encoder
  2023/9/1
• Hierarchical Planning and Policy Shaping Shared Autonomy for Articulated Robots
  2023/7/1
• Efficient Domain Coverage for Vehicles with Second-Order Dynamics via Multi-Agent Reinforcement Learning
  2022/11/1
• Online Probabilistic Model Identification using Adaptive Recursive MCMC
  2022/10/1
• DMMGAN: Diverse Multi Motion Prediction of 3D Human Joints using Attention-Based Generative Adverserial Network
  2022/9/1
• STPOTR: Simultaneous Human Trajectory and Pose Prediction Using a Non-Autoregressive Transformer for Robot Following Ahead
  2022/9/1
• Asynchronous, Option-Based Multi-Agent Policy Gradient: A Conditional Reasoning Approach
  2022/3/1
• Robust Visual Teach and Repeat for UGVs Using 3D Semantic Maps
  2021/9/1
• Least-Restrictive Multi-Agent Collision Avoidance via Deep Meta Reinforcement Learning and Optimal Control
  2021/6/1
• FaSTrack: a Modular Framework for Real-Time Motion Planning and Guaranteed Safe Tracking
  2021/2/1
• Real-Time Formal Verification of Autonomous Systems With An FPGA
  2020/12/1
• On Infusing Reachability-Based Safety Assurance within Planning Frameworks for Human-Robot Vehicle Interactions
  2020/12/1
• Optimal Control-Based Baseline for Guided Exploration in Policy Gradient Methods
  2020/11/1
• LBGP: Learning Based Goal Planning for Autonomous Following in Front
  2020/11/1
• Prediction-Based Reachability for Collision Avoidance in Autonomous Driving
  2020/11/1
• SFU-Store-Nav: A Multimodal Dataset for Indoor Human Navigation
  2020/10/1
• Generating Robust Supervision for Learning-Based Visual Navigation Using Hamilton-Jacobi Reachability
  2019/12/1
• TTR-Based Reward for Reinforcement Learning with Implicit Model Priors
  2019/3/1
• On Infusing Reachability-Based Safety Assurance within Probabilistic Planning Frameworks for Human-Robot Vehicle Interactions
  2018/12/1
• Robust Tracking with Model Mismatch for Fast and Safe Planning: an SOS Optimization Approach
  2018/8/1
• Reach-Avoid Problems via Sum-of-Squares Optimization and Dynamic Programming
  2018/7/1
• BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning
  2018/6/1
• FaSTrack: a Modular Framework for Fast and Guaranteed Safe Motion Planning
  2017/3/1