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LEGS: Learning Efficient Grasp Sets for Exploratory Grasping

  • Published:2022-05-23 Issue: Volume: Page:
  • ISSN:
  • Container-title:2022 International Conference on Robotics and Automation (ICRA)
  • language:
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Author:

Fu Letian1,Danielczuk Michael1,Balakrishna Ashwin1,Brown Daniel S.1,Ichnowski Jeffrey1,Solowjow Eugen2,Goldberg Ken1

Affiliation:

1. UC Berkeley,The AUTOLab

2. Siemens Research Lab

Funder

Google

Siemens

Toyota Research Institute

NVIDIA

National Science Foundation

Publisher

IEEE

Reference38 articles.

1. Pose error robust grasping from contact wrench space metrics

2. Anytime many-armed bandits;teytaud;CAP07,2007

3. Introduction to Multi-Armed Bandits

4. A tutorial on thompson sampling;russo;ArXiv Preprint,2017

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1. Pseudo Labeling and Contextual Curriculum Learning for Online Grasp Learning in Robotic Bin Picking;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Information-driven Affordance Discovery for Efficient Robotic Manipulation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Amortized Inference for Efficient Grasp Model Adaptation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. Uncertainty-driven Exploration Strategies for Online Grasp Learning;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. Tactile-Based Grasping Stability Prediction Based on Human Grasp Demonstration for Robot Manipulation;IEEE Robotics and Automation Letters;2024-03
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