Improving human robot collaboration through Force/Torque based learning for object manipulation

Title
Improving human robot collaboration through Force/Torque based learning for object manipulation
Authors
Keywords
Imitation learning, Human–Robot Collaboration, Random Forests regression, Gaussian mixture regression and ensemble-learning
Journal
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
Volume 69, Issue -, Pages 102111
Publisher
Elsevier BV
Online
2021-01-08
DOI
10.1016/j.rcim.2020.102111

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started