Simulating Chemical Reactions Using a Swarm of Miniature Robots

Randall, Audrey; Klingner, John; Correll, Nikolaus

doi:10.1007/978-3-319-43488-9_27

Cited by 4 publications

(1 citation statement)

References 17 publications

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“…Shiu et al [42] presented the design of modular robots that uses the Octet rule to dictate attraction force and motion capability. Randall et al [43] proposed a decentralized mechanism that aims to simulate chemical reactions using a swarm of miniature robots. The motivation for this work lies in the development of an educational tool to simulate chemical reactions capturing either behavioral or embodied aspects, differently from other tools such as computer simulations or ball-and-stick models.…”

Section: Related Workmentioning

confidence: 99%

Chemistry-Inspired Pattern Formation with Robotic Swarms

Rezeck,

Chaimowicz

2022

Preprint

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Self-organized emergent patterns can be widely seen in particle interactions producing complex structures such as chemical elements and molecules. Inspired by these interactions, this work presents a novel stochastic approach that allows a swarm of heterogeneous robots to create emergent patterns in a completely decentralized fashion and relying only on local information. Our approach consists of modeling the swarm configuration as a dynamic Gibbs Random Field (GRF) and setting constraints on the neighborhood system inspired by chemistry rules that dictate binding polarity between particles. Using the GRF model, we determine velocities for each robot, resulting in behaviors that lead to the creation of patterns or shapes. Simulated experiments show the versatility of the approach in producing a variety of patterns, and experiments with a group of physical robots show the feasibility in potential applications.

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Section: Related Workmentioning

confidence: 99%