📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

A trajectory and force dual-incremental robot skill learning and generalization framework using improved dynamical movement primitives and adaptive neural network control (2023)

First Author: Lu Z

Attributed to: Human Centred Robotics for Next-generation Flexible Manufacturing funded by ISCF

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.neucom.2022.11.076

Publication URI: http://dx.doi.org/10.1016/j.neucom.2022.11.076

Type: Journal Article/Review

Parent Publication: Neurocomputing