首页 /研究 /A distributed epigenetic shape formation and regeneration algorithm for a swarm of robots
SWARM

A distributed epigenetic shape formation and regeneration algorithm for a swarm of robots

Tushar Semwal, Shivashankar B. Nair

发表年份
2018
引用次数
2
访问权限
开放获取

摘要

Living cells exhibit both growth and regeneration of body tissues. Epigenetic Tracking (ET), models this growth and regenerative qualities of living cells and has been used to generate complex 2D and 3D shapes. In this paper, we present an ET based algorithm that aids a swarm of identically-programmed robots to form arbitrary shapes and regenerate them when cut. The algorithm works in a distributed manner using only local interactions and computations without any central control and aids the robots to form the shape in a triangular lattice structure. In case of damage or splitting of the shape, it helps each set of the remaining robots to regenerate and position themselves to build scaled down versions of the original shape. The paper presents the shapes formed and regenerated by the algorithm using the Kilombo simulator.

关键词

Swarm behaviourComputationRobotComputer scienceAlgorithmPosition (finance)Mobile robotSwarm roboticsLattice (music)Regeneration (biology)

相关论文

查看 SWARM 分类全部论文