Learning to Close the Gap: Combining Task Frame Formalism and Reinforcement Learning for Compliant Vegetable Cutting-Reference-Cited by-同舟云学术

Learning to Close the Gap: Combining Task Frame Formalism and Reinforcement Learning for Compliant Vegetable Cutting

Published:2020 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics
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Author:

Padalkar Abhishek¹,Nieuwenhuisen Matthias²,Schneider Sven³,Schulz Dirk²

Affiliation:

1. Cognitive Mobile Systems Group, Fraunhofer Institute for Communication, Information Processing and Ergonomics FKIE, Wachtberg, Germany, Department of Computer Science, Bonn-Rhein-Sieg University of Applied Sciences, St. Augustin, Germany, --- Select a Country ---

2. Cognitive Mobile Systems Group, Fraunhofer Institute for Communication, Information Processing and Ergonomics FKIE, Wachtberg, Germany, --- Select a Country ---

3. Department of Computer Science, Bonn-Rhein-Sieg University of Applied Sciences, St. Augustin, Germany, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

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4. Grey-Box Learning of Adaptive Manipulation Primitives for Robotic Assembly;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29

5. Closing the Gap: Combining Task Specification and Reinforcement Learning for Compliant Vegetable Cutting;Informatics in Control, Automation and Robotics;2022