Review on Efficient Strategies for Coordinated Motion and Tracking in Swarm Robotics

TL;DR

This paper reviews current strategies and algorithms for coordinated movement and tracking in swarm robotics, comparing their effectiveness through simulations to enhance collective robot behaviors.

Contribution

It provides a comprehensive survey of existing algorithms for swarm robot coordination, highlighting their strengths and limitations based on simulation comparisons.

Findings

Algorithms vary in efficiency for aggregation, creation, and clamouring tasks.

Simulation results reveal trade-offs between computational complexity and performance.

The review identifies gaps and future directions in swarm movement strategies.

Abstract

Swarm robotics is a creative method of organizing multi-robot structures, consisting of many basic robots influenced by communal insects. The greatest astonishing attribute of swarm robots is their capacity to function together to accomplish a collective objective. This paper addresses the list of current surveys, problems and algorithms that were stimulated in the research of Coordinated Movement in Swarm robotics. Algorithms for swarm robotics movement are contrasted, considering the swarm micro-robots to accomplish aggregation, creation, and clamouring by contrasting the relative computational simulations between the algorithms and simulations used.