Jianyu Chen

収録論文 44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

• HEFT: Heavy-Payload Full-size Humanoid Teleoperation with Privileged Motion Guidance and Windowed Payload Curriculum
  2026/7/1
• HARP-VLA: Human-Robot Aligned Representation Learning for Vision-Language-Action Model
  2026/5/1
• Dexora: Open-source VLA for High-DoF Bimanual Dexterity
  2026/5/1
• Hi-WM: Human-in-the-World-Model for Scalable Robot Post-Training
  2026/4/1
• Veo-Act: How Far Can Frontier Video Models Advance Generalizable Robot Manipulation?
  2026/4/1
• BagelVLA: Enhancing Long-Horizon Manipulation via Interleaved Vision-Language-Action Generation
  2026/2/1
• VLAW: Iterative Co-Improvement of Vision-Language-Action Policy and World Model
  2026/2/1
• UniJEPA: Enhancing Robot Policy via Unified Continuous and Discrete Representation Learning
  2025/10/1
• Ctrl-World: A Controllable Generative World Model for Robot Manipulation
  2025/10/1
• villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models
  2025/7/31
• villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models
  2025/7/1
• Learning Generalizable Robot Policy with Human Demonstration Video as a Prompt
  2025/5/1
• Whleaper: A 10-DOF Flexible Bipedal Wheeled Robot
  2025/4/1
• Improving Vision-Language-Action Model with Online Reinforcement Learning
  2025/1/28
• Improving Vision-Language-Action Model with Online Reinforcement Learning
  2025/1/1
• Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations
  2024/12/1
• Prediction with Action: Visual Policy Learning via Joint Denoising Process
  2024/11/1
• HiRT: Enhancing Robotic Control with Hierarchical Robot Transformers
  2024/10/1
• Advancing Humanoid Locomotion: Mastering Challenging Terrains with Denoising World Model Learning
  2024/8/1
• Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer
  2024/4/1
• Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations
  2024/1/1
• Stylized Table Tennis Robots Skill Learning with Incomplete Human Demonstrations
  2023/9/1
• Prompt a Robot to Walk with Large Language Models
  2023/9/1
• DoReMi: Grounding Language Model by Detecting and Recovering from Plan-Execution Misalignment
  2023/7/1
• Decentralized Motor Skill Learning for Complex Robotic Systems
  2023/6/1
• Learning Robust, Agile, Natural Legged Locomotion Skills in the Wild
  2023/4/1
• Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward
  2022/12/1
• Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate
  2022/10/1
• Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning
  2022/10/1
• A Contact-Safe Reinforcement Learning Framework for Contact-Rich Robot Manipulation
  2022/7/1
• Reachability Constrained Reinforcement Learning
  2022/5/1
• Chance-Constrained Iterative Linear-Quadratic Stochastic Games
  2022/3/1
• Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning
  2021/11/1
• Learn to Grasp with Less Supervision: A Data-Efficient Maximum Likelihood Grasp Sampling Loss
  2021/10/1
• Model-based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian
  2021/8/1
• Constrained Iterative LQG for Real-Time Chance-Constrained Gaussian Belief Space Planning
  2021/8/1
• Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function
  2021/3/1
• Steadily Learn to Drive with Virtual Memory
  2021/2/1
• A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning
  2021/1/1
• Guided Policy Search Model-based Reinforcement Learning for Urban Autonomous Driving
  2020/5/1
• Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
  2020/1/1
• Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks
  2019/6/1
• Model-free Deep Reinforcement Learning for Urban Autonomous Driving
  2019/4/1
• Deep Imitation Learning for Autonomous Driving in Generic Urban Scenarios with Enhanced Safety
  2019/3/1