Robotics & Machine Learning Daily News2024,Issue(Sep.9) :60-61.

Researcher at Kyushu Institute of Technology Publishes New Study Findings on Rob otics and Mechatronics (Tunable Social Hierarchies in Self-Organizing Model with Chemotactic Agents)

Robotics & Machine Learning Daily News2024,Issue(Sep.9) :60-61.

Researcher at Kyushu Institute of Technology Publishes New Study Findings on Rob otics and Mechatronics (Tunable Social Hierarchies in Self-Organizing Model with Chemotactic Agents)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in robotics and mechatronics. According to news reporting from Fukuoka, Japan, by N ewsRx journalists, research stated, “In the Bonabeau model, chemotaxis, which is observed in social insects, such as ants, was introduced into the movement rule s of agents to control the collision frequency between agents, and its effect on the mechanism of hierarchical structure formation was investigated.” The news reporters obtained a quote from the research from Kyushu Institute of T echnology: “Like an ant, this chemotactic agent makes stochastic decisions regar ding its direction of movement depending on the intensity of its released chemic als. Because of this mechanism, the agent depends on its past location history. It can perform different motions from a random walk (RW) and asymmetric attracti ve or repulsive interactions with other agents via the diffusion of chemotactic substances. When there is an attractive interaction between these agents, they a re more likely to aggregate, which increases the effective density; thus, the di sparity in the agent winning ratio is more likely to form than in a conventional model with a RW.”

Key words

Kyushu Institute of Technology/Fukuoka/Japan/Asia/Mechatronics/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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