2018/03/09 by Sean Grimes, Grimes, Sean, Linge Bai +5
Engineering · #FOS: Computer and information sciences #Modular Robots and Swarm Intelligence #Multiagent Systems (cs.MA) #Slime Mold and Myxomycetes Research
paper · pdf · doi:10.48550/arxiv.1803.03654
openalex publication_date 2018/03/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Inspired by the chemotaxis interaction of living cells, we have developed an\nagent-based approach for self-organizing shape formation. Since all our\nsimulations begin with a different uniform random configuration and our agents\nmove stochastically, it has been observed that the self-organization process\nmay form two or more stable final configurations. These differing\nconfigurations may be characterized via statistical moments of the agents'\nlocations. In order to direct the agents to robustly form one specific\nconfiguration, we generate biased initial conditions whose statistical moments\nare related to moments of the desired configuration. With this approach, we are\nable to successfully direct the aggregating swarms to produced a desired\nmacroscopic shape, starting from randomized initial conditions with controlled\nstatistical properties.\n