Learning Compliant Stiffness by Impedance Control-Aware Task Segmentation and Multi-Objective Bayesian Optimization with Priors-Reference-Cited by-同舟云学术

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Learning Compliant Stiffness by Impedance Control-Aware Task Segmentation and Multi-Objective Bayesian Optimization with Priors

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Okada Masashi¹,Komatsu Mayumi²,Okumura Ryo¹,Taniguchi Tadahiro³

Affiliation:

1. Panasonic Holdings Corporation,Digital & AI Technology Center, Technology Division,Japan

2. Panasonic Holdings Corporation,Robotics Promotion Office, Manufacturing Innovation Division,Japan

3. Ritsumeikan University, College of Information Science and Engineering,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10341341/10341342/10342096.pdf?arnumber=10342096

Reference48 articles.

1. Variable Impedance Control of Redundant Manipulators for Intuitive Human–Robot Physical Interaction

2. Stability Considerations for Variable Impedance Control

3. Choosing Stiffness and Damping for Optimal Impedance Planning

4. π-BO: Augmenting acquisition functions with user beliefs for bayesian optimization;Hvarfner,2022

5. A Framework for Robot Manipulation: Skill Formalism, Meta Learning and Adaptive Control

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CITR: A Coordinate-Invariant Task Representation for Robotic Manipulation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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