📣 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.

Dynamic Obstacle-Avoidance Algorithm for Multi-Robot Flocking Based on Improved Artificial Potential Field (2024)

First Author: Shao S

Attributed to: Academic Centre of Excellence in Cyber Security Research - University of Warwick funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/tce.2023.3340327

Publication URI: http://dx.doi.org/10.1109/tce.2023.3340327

Type: Journal Article/Review

Parent Publication: IEEE Transactions on Consumer Electronics

Issue: 1