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Intending to mimic the operating mechanism of biological neural systems, a self organizing map-based approach to task assignment of a swarm of robots in 3-D dynamic environments is proposed in this paper. This approach integrates the advantages and characteristics of biological neural systems. It is capable of dynamically planning the paths of a swarm of robots in 3-D environments under uncertain...
Cooperative foraging tasks in unknown environments are fundamentally important in robotics, where the real-time path planning and proper task allocation strategies are desirable for multi-robot cooperation. In this paper, an improved potential field-based (IPPSO) approach is proposed for cooperative robots to accomplish the foraging tasks in unknown environments. The proposed cooperation strategy...
In this paper, a novel framework is proposed to incorporate task assignment, path planning, and tracking control of a multi-robot system. The dynamic task assignment of multi-robots is achieved using a self-organizing map based feature. The real-time collision-free robot path is generated from a neuro-dynamics network through sensor measurement and responding immediately to dynamic elements in the...
Multi-robot systems have drawn the attention of many different research communities, such as physics, electronics, control, computer science, mathematics, and biology. Motivated by the growing popularity of multi-robot system and related coordination approaches, this paper surveys and analyzes the relevant literature, including six classification dimensions: system architectures, communication and...
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