Jianlan Luo

Shanghai Innovation Institute

収録論文 26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

• τ0-VLA: 世界モデル誘導のテスト時計算を備えた階層型ロボット基盤モデル
  VLA2026/8/17

  長期的なロボット操作タスクを、高レベル方策がサブタスク生成時にテスト時計算を追加で行える階層型VLAモデルを提案し、実データで性能向上を実証した。

• $\tau_0$-WM: A Unified Video-Action World Model for Robotic Manipulation
  2026/6/1
• Learning While Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies
  2026/5/1
• SOP: A Scalable Online Post-Training System for Vision-Language-Action Models
  2026/1/1
• Unified Embodied VLM Reasoning with Robotic Action via Autoregressive Discretized Pre-training
  2025/12/1
• Act2Goal: From World Model To General Goal-conditioned Policy
  2025/12/1
• Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation
  2025/8/1
• AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems
  2025/3/1
• Reflective Planning: Vision-Language Models for Multi-Stage Long-Horizon Robotic Manipulation
  2025/2/1
• RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning
  2024/12/1
• Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning
  2024/10/1
• Octo: An Open-Source Generalist Robot Policy
  2024/5/1
• Yell At Your Robot: Improving On-the-Fly from Language Corrections
  2024/3/1
• FMB: a Functional Manipulation Benchmark for Generalizable Robotic Learning
  2024/1/1
• SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
  2024/1/1
• RLIF: Interactive Imitation Learning as Reinforcement Learning
  2023/11/1
• Open X-Embodiment: Robotic Learning Datasets and RT-X Models
  2023/10/1
• REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation
  2023/9/1
• Multi-Stage Cable Routing through Hierarchical Imitation Learning
  2023/7/1
• Offline Meta-Reinforcement Learning for Industrial Insertion
  2021/10/1
• Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study
  2021/3/1
• Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data
  2020/5/1
• UniGrasp: Learning a Unified Model to Grasp with Multifingered Robotic Hands
  2019/10/1
• Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards
  2019/6/1
• Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly
  2019/3/1
• Residual Reinforcement Learning for Robot Control
  2018/12/1