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Autonomous Multi-Robot Collaboration in Virtual Environments to Perform Tasks in Industry 4.0

Saeed Hamood Alsamhi, Abdu Saif, Edward Curry, Santosh Kumar, Ammar Hawbani

Year
2022
Citations
7

Abstract

In Industry 4.0, multi-robot efficient coordination is a critical enabler for many commercial and industrial automation activities. This paper describes how a group of robots may dynamically produce actions from a common. We focus on examining the performance of autonomous multi-robot collaboration effectively and efficiently to achieve a common task and plan for the action of future task allocation dynamically, autonomously, and in a decentralized fashion. The common goal for multi-robots here is to bring the ball from the current position to predefine the desk target. Unreal Engine (UE4) is used for designing and implementing the platform of robots. The results show significant achievement in accurate trajectories for the ball taken via multi-robot collaboration in an autonomous and decentralized fashion. As a result, multi-robot collaboration can be available for numerous applications in Industry 4.0, warehouse automation, transport, risky environments, search and rescue (SAR) teams, and disaster recovery.

Keywords

Computer scienceRobotHuman–computer interactionVirtual realityArtificial intelligence

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