Abstract
We propose a simple decentralized control scheme for swarm robots that can perform spatially distributed tasks in parallel, drawing inspiration from the non-reciprocal-interaction-based (NRIB) model we proposed previously. Each agent has an internal state called “workload.” Each agent first moves randomly to find a task. When it finds a task, its workload increases, and then it attracts its neighboring agents to ask for their help. Simulation was used to demonstrate the validity of the proposed control scheme.
Issue Section:
Swarm Behaviour
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© 2019 Massachusetts Institute of Technology Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license
2019
Massachusetts Institute of Technology
Issue Section:
Swarm Behaviour