“Unfavorable” environmental effects can also be beneficial: a simulation analysis of centipede-like swarm robots based on implicit control for navigation and exploration in unknown environments

Xiao, Runze; Tsunoda, Yusuke; Osuka, Koichi

doi:10.1007/s10015-023-00907-6

Cited by 1 publication

(1 citation statement)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Arnold et al's simulation-based study highlights practical applications of behaviorbased swarming algorithms in disaster response scenarios, emphasizing the potential for swarm robotics to make a significant impact in critical situations [9]. Additionally, research in agent-based models by CoppeliaSim elucidates the underlying dynamics of animal swarms, providing valuable insights for designing effective control algorithms for autonomous systems [10]. Furthermore, consensus strategies and user-friendly systems for swarm formations, explored by other researchers, offer practical solutions for optimizing swarm performance and functionality in diverse environments [11].…”

Section: Introductionmentioning

confidence: 99%

Investigating the impact of initial parameters on autonomous robot swarm movement strategies for enhanced exploration efficiency: a comprehensive study

Karadağ,

Tamer

2024

Bioinspir. Biomim.

View full text Add to dashboard Cite

Swarm robots are frequently preferred for the exploration of harsh environments and search and rescueoperations. This study explores the factors that influence the movement strategies of autonomousrobot swarms and their impact on swarm distribution in the field, employing simulation-based analysis.The research consists of two parts: initially, robots undergo free-fall as passive entities, followed by aphase where they employ predefined movement strategies from their fall positions. The study aims toinvestigate how the initial position and related parameters affect movement characteristics and theultimate swarm distribution. To achieve this objective, four parameters—radius, height, mass, and theCoefficient of Restitution—were identified, each assigned three different values. The study observesthe effects of these parameters on robot motion, considering motion strategies such as Random Walk,Levy Walk, Markov Process, and Brownian Motion. Results indicate that increasing parameter valuesinduce changes in the position values of the free-falling swarm in the first part, which is the initialposition for the second part, influencing movement strategies in diverse ways. The outcomes areanalyzed concerning the radial and angular spread of the robots. Radial spread measures how farswarm elements spread from their initial positions, while angular spread indicates how homogeneouslythe robots are distributed according to the polar angle. The study comprehensively investigates howthe movement strategies of autonomous robot swarms are impacted by parameters and how theseeffects manifest in the results. The findings are anticipated to enhance the effective utilization ofautonomous robot swarms in exploration missions.Keywords: Swarm Robotics, Autonomous Robots, Random Walk, Levy Walk, Brownian Motion, MarkovProcess

show abstract

Section: Introductionmentioning

confidence: 99%