Shaoshuai Mou

収録論文 19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

• Stress-Sharing for Decentralized Fault Repair in Modular Spacecraft
  2026/7/1
• Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales
  2026/7/1
• DREAM-Chunk: Reactive Action Chunking with Latent World Model
  2026/6/1
• Online Intention Prediction via Control-Informed Learning
  2026/4/1
• Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems
  2026/4/1
• Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics
  2026/3/1
• Trajectory Prediction via Bayesian Intention Inference under Unknown Goals and Kinematics
  2025/9/1
• Reward-Based Collision-Free Algorithm for Trajectory Planning of Autonomous Robots
  2025/2/1
• Online Control-Informed Learning
  2024/10/1
• HOLA-Drone: Hypergraphic Open-ended Learning for Zero-Shot Multi-Drone Cooperative Pursuit
  2024/9/1
• C3D: Cascade Control with Change Point Detection and Deep Koopman Learning for Autonomous Surface Vehicles
  2024/3/1
• Neighboring Extremal Optimal Control Theory for Parameter-Dependent Closed-loop Laws
  2023/12/1
• DrMaMP: Distributed Real-time Multi-agent Mission Planning in Cluttered Environment
  2023/2/1
• Safe Pontryagin Differentiable Programming
  2021/5/1
• Learning from Human Directional Corrections
  2020/11/1
• Learning Objective Functions Incrementally by Inverse Optimal Control
  2020/10/1
• Learning from Sparse Demonstrations
  2020/8/1
• Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework
  2019/12/1
• Inverse Optimal Control from Incomplete Trajectory Observations
  2018/3/1