Junchi Yan

Shanghai Jiao Tong University

収録論文 31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

• HandEdit: 身体性を考慮した人間からロボットへの器用な手の画像編集のための統一ベンチマーク
  画像編集/ロボティクス2026/8/12

  人間の手の画像を様々なロボットハンドに変換する大規模な画像編集データセットとベンチマークを構築し、既存の編集モデルの評価と身体性を考慮した編集モデルの発展を促進する。

• HandEdit: A Unified Benchmark for Egocentric Human-to-Robot Dexterous Hand Image Editing
  2026/8/1
• WorldScape Policy 2.0: Empowering Steerable World Action Modeling with Reasoning-Augmented Memory
  2026/7/1
• ACE-Brain-0.5: A Unified Embodied Foundational Model for Physical Agentic AI
  2026/7/1
• LA4VLA: Learning to Act without Seeing via Language-Action Pretraining
  2026/6/1
• ReactSim-Bench: Benchmarking Reactive Behavior World Model Simulation in Autonomous Driving
  2026/6/1
• GuidedVLA: Specifying Task-Relevant Factors via Plug-and-Play Action Attention Specialization
  2026/5/1
• ELAN4D: Embodiment-Centric 4D Supervision for Vision-Language-Action Models via Plug-and-Play Adaptation
  2026/5/1
• Bench2Drive-Robust: Benchmarking Closed-Loop Autonomous Driving under Deployment Perturbations
  2026/5/1
• Evo-Depth: A Lightweight Depth-Enhanced Vision-Language-Action Model
  2026/5/1
• Bench2Drive-VL: Benchmarks for Closed-Loop Autonomous Driving with Vision-Language Models
  2026/4/1
• Can Users Specify Driving Speed? Bench2Drive-Speed: Benchmark and Baselines for Desired-Speed Conditioned Autonomous Driving
  2026/3/1
• ACE-Brain-0: Spatial Intelligence as a Shared Scaffold for Universal Embodiments
  2026/3/1
• Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2)
  2025/5/1
• DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving
  2025/5/1
• RoboFAC: A Comprehensive Framework for Robotic Failure Analysis and Correction
  2025/5/1
• Interleave-VLA: Enhancing Robot Manipulation with Interleaved Image-Text Instructions
  2025/5/1
• AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems
  2025/3/1
• DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving
  2025/3/1
• Int2Planner: An Intention-based Multi-modal Motion Planner for Integrated Prediction and Planning
  2025/1/1
• Bench2Drive-R: Turning Real World Data into Reactive Closed-Loop Autonomous Driving Benchmark by Generative Model
  2024/12/1
• Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation
  2024/9/1
• Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving
  2024/6/1
• AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving
  2024/3/1
• ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving
  2024/3/1
• Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2)
  2024/2/1
• DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving
  2023/8/1
• Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline
  2022/6/1
• Level 2 Autonomous Driving on a Single Device: Diving into the Devils of Openpilot
  2022/6/1
• HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding
  2022/5/1
• Dynamic Modeling of Hand-Object Interactions via Tactile Sensing
  2021/9/1