Michel Breyer

収録論文 7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

• Closed-Loop Next-Best-View Planning for Target-Driven Grasping
  2022/7/1
• Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning
  2021/9/1
• Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter
  2021/1/1
• Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning
  2020/11/1
• Go Fetch: Mobile Manipulation in Unstructured Environments
  2020/4/1
• Object Finding in Cluttered Scenes Using Interactive Perception
  2019/11/1
• Comparing Task Simplifications to Learn Closed-Loop Object Picking Using Deep Reinforcement Learning
  2018/3/1