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Information Rich Voxel Grid for Use in Heterogeneous Multi-Agent Robotics

Cheng, Yongqiang, Balding, Steven, Gning, Amadou and Iqbal, Jamshed (2023) Information Rich Voxel Grid for Use in Heterogeneous Multi-Agent Robotics. Applied Sciences, 13 (8). ISSN 2076-3417

Item Type: Article

Abstract

Robotic agents are now ubiquitous in both home and work environments; moreover, the degree of task complexity they can undertake is also increasing exponentially. Now that advanced robotic agents are commonplace, the question for utilisation becomes how to enable collaboration of these agents, and indeed, many have considered this over the last decade. If we can leverage the heterogeneous capabilities of multiple agents, not only can we achieve more complex tasks, but we can better position the agents in more chaotic environments and compensate for lacking systems in less sophisticated agents. Environments such as search and rescue, agriculture, autonomous vehicles, and robotic maintenance are just a few examples of complex domains that can leverage collaborative robotics. If the use of a robotic agent is fruitful, the question should be: How can we provide a world state and environment mapping, combined with a communication method, that will allow these robotic agents to freely communicate? Moreover, how can this be decentralised such that agents can be introduced to new and existing environments already understood by other agents? The key problem that is faced is the communication method; however, when looking deeper we also need to consider how the change of an environment is mapped while considering that there are multiple differing sensors. To this end, we present the voxel grid approach for use in a decentralised robotic colony. To validate this, results are presented to show how the single-agent and multiagent systems compare.

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More Information

Uncontrolled Keywords: SLAM; robotic colony; robotic communication; decentralised robotic communication; heterogeneous robotic vision; voxel grid; environment mapping
Depositing User: Yongqiang Cheng

Identifiers

Item ID: 16824
Identification Number: https://doi.org/10.3390/app13085065
ISSN: 2076-3417
URI: http://sure.sunderland.ac.uk/id/eprint/16824
Official URL: https://www.mdpi.com/2076-3417/13/8/5065

Users with ORCIDS

ORCID for Yongqiang Cheng: ORCID iD orcid.org/0000-0001-7282-7638
ORCID for Jamshed Iqbal: ORCID iD orcid.org/0000-0002-0795-0282

Catalogue record

Date Deposited: 17 Nov 2023 12:38
Last Modified: 17 Nov 2023 12:45

Contributors

Author: Yongqiang Cheng ORCID iD
Author: Jamshed Iqbal ORCID iD
Author: Steven Balding
Author: Amadou Gning

University Divisions

Faculty of Technology > School of Computer Science

Subjects

Computing

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