Online Action Learning using Kernel Density Estimation for Quick Discovery of Good Parameters for Peg-in-Hole Insertion-Reference-Cited by-同舟云学术

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Online Action Learning using Kernel Density Estimation for Quick Discovery of Good Parameters for Peg-in-Hole Insertion

Published:2016 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics
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Author:

Sørensen Lars Carøe¹,Buch Jacob Pørksen¹,Petersen Henrik Gordon¹,Kraft Dirk¹

Affiliation:

1. University of Southern Denmark, Denmark

Publisher

SCITEPRESS - Science and and Technology Publications

Cited by 3 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. Extremal Point Tracking on Smooth Surfaces;2022 IEEE 18th International Conference on Automation Science and Engineering (CASE);2022-08-20

2. Simulation Based Behavior for a Welfare Robot;Advances in Intelligent Systems and Computing;2018-11-21

3. Automatic parameter learning for easy instruction of industrial collaborative robots;2018 IEEE International Conference on Industrial Technology (ICIT);2018-02

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