Justin Yu

収録論文 16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

• GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks
  2026/7/1
• WARP-RM: A Warp-Augmented Relative Progress Reward Model for Data Curation
  2026/6/1
• Scalable Behavior Cloning with Open Data, Training, and Evaluation
  2026/6/1
• Playful Agentic Robot Learning
  2026/6/1
• SARM2: Multi-Task Stage Aware Reward Modeling for Self Improving Robotic Manipulation
  2026/6/1
• CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation
  2026/3/1
• EgoMI: Learning Active Vision and Whole-Body Manipulation from Egocentric Human Demonstrations
  2025/11/1
• SARM: Stage-Aware Reward Modeling for Long Horizon Robot Manipulation
  2025/9/1
• Real2Render2Real: Scaling Robot Data Without Dynamics Simulation or Robot Hardware
  2025/5/1
• Persistent Object Gaussian Splat (POGS) for Tracking Human and Robot Manipulation of Irregularly Shaped Objects
  2025/3/1
• Language-Embedded Gaussian Splats (LEGS): Incrementally Building Room-Scale Representations with a Mobile Robot
  2024/9/1
• Effectively Rearranging Heterogeneous Objects on Cluttered Tabletops
  2023/6/1
• MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning
  2021/7/1
• Legged Robot State Estimation using Invariant Kalman Filtering and Learned Contact Events
  2021/6/1
• Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention
  2021/4/1
• The Ingredients of Real-World Robotic Reinforcement Learning
  2020/4/1