Mrinal Kalakrishnan

収録論文 19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

• Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D
  2025/4/1
• DexterityGen: Foundation Controller for Unprecedented Dexterity
  2025/2/1
• Sparsh: Self-supervised touch representations for vision-based tactile sensing
  2024/10/1
• Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation
  2023/12/1
• Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots
  2023/10/1
• What do we learn from a large-scale study of pre-trained visual representations in sim and real environments?
  2023/10/1
• Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
  2023/5/1
• USA-Net: Unified Semantic and Affordance Representations for Robot Memory
  2023/4/1
• How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned
  2021/2/1
• Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data
  2020/5/1
• Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping
  2019/10/1
• Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping
  2019/4/1
• Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks
  2018/12/1
• QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
  2018/6/1
• Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation
  2017/10/1
• Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
  2017/9/1
• Path Integral Guided Policy Search
  2016/10/1
• Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search
  2016/10/1
• Probabilistic Object Tracking using a Range Camera
  2015/5/1