论文标题

蝴蝶:未来派空中机器人灵感的新来源

Butterflies: A new source of inspiration for futuristic aerial robotics

论文作者

Jada, Chakravarthi, S, Lokesh Ch. R., Urlana, Ashok, Yerubandi, Shridi Swamy, Bora, Kantha Rao, Shaik, Gouse Basha, Baswani, Pavan, Karri, Balaraju

论文摘要

大自然是大量物种的居民。所有物种的生存情况都采用简单而优雅的规则进行复杂的活动。集体行为的出现的财产非常支持他们的活动。集体行为的一种形式是群体智能 - 所有代理都构成了相同的规则和能力。这种平等以及代理商的当地合作极大地导致了全球成果。自然界中的一些群体行为包括鸟类形成,鱼学校的操纵,蚂蚁运动。最近,一所研究学院研究了这些行为,并提出了人造范式,例如粒子群优化(PSO),蚂蚁菌落优化(ACO),glow虫群群优化(GSO)等。另一位研究学校使用了这些模型,并设计了机器人平台来检测(位置)(位置)多个信号源,例如光,火,pl,pl,pl,pl,odor,odor等。在相同的思想中,这个扩展的摘要介绍了最近提出的蝴蝶启发的隐喻和相应的模拟,即带有结果的持续实验。

Nature is an inhabitant for enormous number of species. All the species do perform complex activities with simple and elegant rules for their survival. The property of emergence of collective behavior is remarkably supporting their activities. One form of the collective behaviour is the swarm intelligence -- all agents poses same rules and capabilities. This equality along with local cooperation in the agents tremendously leads to achieving global results. Some of the swarm behaviours in the nature includes birds formations , fish school maneuverings, ants movement. Recently, one school of research has studied these behaviours and proposed artificial paradigms such as Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Glowworm Swarm Optimization (GSO) etc. Another school of research used these models and designed robotic platforms to detect (locate) multiple signal sources such as light, fire, plume, odour etc. Kinbots platform is one such recent experiment. In the same line of thought, this extended abstract presents the recently proposed butterfly inspired metaphor and corresponding simulations, ongoing experiments with outcomes.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源