Alex Church

収録論文 10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

• AnyRotate: 重力不変な手内物体回転を実現するSim-to-Real触覚
  触覚2024/5/1

  高密度な触覚情報をシミュレーションで学習し実機へゼロショット転移することで、手の向きや重力に依存せず任意軸周りに未知物体を回転させるシステムを実現した。

• Sim-to-Real Model-Based and Model-Free Deep Reinforcement Learning for Tactile Pushing
  2023/7/1
• Bi-Touch: Bimanual Tactile Manipulation with Sim-to-Real Deep Reinforcement Learning
  2023/7/1
• Attention for Robot Touch: Tactile Saliency Prediction for Robust Sim-to-Real Tactile Control
  2023/7/1
• Semi-Supervised Disentanglement of Tactile Contact~Geometry from Sliding-Induced Shear
  2022/8/1
• Tactile Gym 2.0: Sim-to-real Deep Reinforcement Learning for Comparing Low-cost High-Resolution Robot Touch
  2022/7/1
• Tactile Sim-to-Real Policy Transfer via Real-to-Sim Image Translation
  2021/6/1
• Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard
  2020/8/1
• Tactile Model O: Fabrication and testing of a 3d-printed, three-fingered tactile robot hand
  2019/7/1
• From pixels to percepts: Highly robust edge perception and contour following using deep learning and an optical biomimetic tactile sensor
  2018/12/1