John Lloyd

収録論文 18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

• Pose and shear-based tactile servoing
  2023/12/1
• 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
• A pose and shear-based tactile robotic system for object tracking, surface following and object pushing
  2023/6/1
• Tactile-Driven Gentle Grasping for Human-Robot Collaborative Tasks
  2023/3/1
• Tactile Gym 2.0: Sim-to-real Deep Reinforcement Learning for Comparing Low-cost High-Resolution Robot Touch
  2022/7/1
• DigiTac: A DIGIT-TacTip Hybrid Tactile Sensor for Comparing Low-Cost High-Resolution Robot Touch
  2022/6/1
• One-Shot Domain-Adaptive Imitation Learning via Progressive Learning
  2022/4/1
• A Robust Controller for Stable 3D Pinching using Tactile Sensing
  2021/6/1
• Tactile Sim-to-Real Policy Transfer via Real-to-Sim Image Translation
  2021/6/1
• Probabilistic Discriminative Models Address the Tactile Perceptual Aliasing Problem
  2021/6/1
• Towards integrated tactile sensorimotor control in anthropomorphic soft robotic hands
  2021/2/1
• Goal-Driven Robotic Pushing Using Tactile and Proprioceptive Feedback
  2020/12/1
• Pose-Based Tactile Servoing: Controlled Soft Touch using Deep Learning
  2020/12/1
• Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard
  2020/8/1
• Optimal Deep Learning for Robot Touch
  2020/3/1
• From pixels to percepts: Highly robust edge perception and contour following using deep learning and an optical biomimetic tactile sensor
  2018/12/1
• Voronoi Features for Tactile Sensing: Direct Inference of Pressure, Shear, and Contact Locations
  2018/5/1