Modified Self-Organized Task Allocation in a Group of Robots
Chang Liu

TL;DR
This paper presents a modified self-organized task allocation algorithm for robots, demonstrating its effectiveness through simulation comparisons with the conventional approach.
Contribution
It introduces a novel modification to existing self-organized task allocation algorithms and validates it via simulation results.
Findings
The modified algorithm successfully assigns robots to two object types.
Simulation results show improved task distribution efficiency.
The approach enhances adaptability in robotic task allocation.
Abstract
This paper introduces a modified self-organized task allocation algorithm, where robots are assigned to pick up one of the two types of object. This paper also demonstrates both algorithms by showing the simulation results of the conventional self-organized task allocation algorithm and the simulation results of its modification.
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Taxonomy
TopicsInsect and Arachnid Ecology and Behavior · Neurobiology and Insect Physiology Research
