Ning Liu

Shanghai Jiao Tong University

収録論文 29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

• H2R-Bench: 世界モデルにおける人間からロボットへの操作ビデオ生成のベンチマーク
  ビデオ生成/ベンチマーク2026/8/13

  人間の操作ビデオをロボットの操作ビデオに変換する能力を評価するベンチマークを提案し、既存のビデオ生成モデルの限界を明らかにした。

• H2R-Bench: Benchmarking Human-to-Robot Manipulation Video Generation in World Models
  2026/8/1
• VORL-EXPLORE: A Hybrid Learning Planning Approach to Multi-Robot Exploration in Dynamic Environments
  2026/3/1
• RoboAug: One Annotation to Hundreds of Scenes via Region-Contrastive Data Augmentation for Robotic Manipulation
  2026/2/1
• Adaptive Reinforcement and Model Predictive Control Switching for Safe Human-Robot Cooperative Navigation
  2026/1/1
• RoboMIND 2.0: A Multimodal, Bimanual Mobile Manipulation Dataset for Generalizable Embodied Intelligence
  2025/12/1
• XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations
  2025/11/1
• SwitchVLA: Execution-Aware Task Switching for Vision-Language-Action Models
  2025/6/1
• FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency
  2025/6/1
• HACTS: a Human-As-Copilot Teleoperation System for Robot Learning
  2025/3/1
• Cooperative Hybrid Multi-Agent Pathfinding Based on Shared Exploration Maps
  2025/3/1
• ChatVLA: Unified Multimodal Understanding and Robot Control with Vision-Language-Action Model
  2025/2/20
• ChatVLA: Unified Multimodal Understanding and Robot Control with Vision-Language-Action Model
  2025/2/1
• RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation
  2024/12/1
• TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation
  2024/9/1
• Discrete Policy: Learning Disentangled Action Space for Multi-Task Robotic Manipulation
  2024/9/1
• Scaling Diffusion Policy in Transformer to 1 Billion Parameters for Robotic Manipulation
  2024/9/1
• MMRo: Are Multimodal LLMs Eligible as the Brain for In-Home Robotics?
  2024/6/1
• A Survey on Robotics with Foundation Models: toward Embodied AI
  2024/2/1
• Learning from Imperfect Demonstrations with Self-Supervision for Robotic Manipulation
  2024/1/1
• Large Language Models for Robotics: A Survey
  2023/11/1
• Open X-Embodiment: Robotic Learning Datasets and RT-X Models
  2023/10/1
• CMG-Net: An End-to-End Contact-Based Multi-Finger Dexterous Grasping Network
  2023/3/1
• Robotic Electrospinning Actuated by Non-Circular Joint Continuum Manipulator for Endoluminal Therapy
  2021/6/1
• IPAPRec: A promising tool for learning high-performance mapless navigation skills with deep reinforcement learning
  2021/3/1
• Learn to Navigate Maplessly with Varied LiDAR Configurations: A Support Point-Based Approach
  2020/10/1
• FBG-Based Triaxial Force Sensor Integrated with an Eccentrically Configured Imaging Probe for Endoluminal Optical Biopsy
  2020/6/1
• Dimension-variable Mapless Navigation with Deep Reinforcement Learning
  2020/2/1
• Danger-aware Adaptive Composition of DRL Agents for Self-navigation
  2018/9/1