In this paper, we study coordinated motion in a swarm robotic system, called a swarm-bot. A swarm-bot is a self-assembling and self-organizing artifact, composed of a swarm of s-bots, mobile robots with the ability to connect to and disconnect from each other. The swarm-bot concept is particularly suited for tasks that require abilities of navigation on rough terrain, such as space exploration ...

Photonic crystals have great potential for use as laserdriven accelerator structures. A photonic crystal is a dielectric structure arranged in a periodic geometry. Like a crystalline solid with its electronic band structure, the modes of a photonic crystal lie in a set of allowed photonic bands. Similarly, it is possible for a photonic crystal to exhibit one or more photonic band gaps, with fre...

We describe simple simulation models of collective swarm behaviour of simple robots. We have experimented with mixed avoidance and seeking behaviour using triwheeled robots using simple ultrasonic proximity sensors. Our model assumes a radial distance of attraction or repulsion and supports multiple species in the swarm based on sensor recognition protocols. We describe the surprising success o...

Particle swarm optimization is affected by premature convergence, no guarantee in finding optimal solution, lack of solution amongst other issues. This paper reviews many literature on PSO and proposes a Hybrid MultiSearch Sub-Swarm PSO by using multiple sub swarm PSO in combination with multi search space algorithm. The particles are divided into equal parts and deployed into the number of sub...

Swarm robotics is a relatively new field that focuses on controlling large-scale homogeneous multi-robot systems. We survey six example swarm robotics control algorithms to give a brief overview of the current state of the cutting-edge. Experimental results show that swarm robotics algorithms are scalable, fault tolerant, robust and efficient. These favorable results stem from the algorithms be...

In light of the accuracy of particle swarm optimization-particle filter (PSO-PF) inadequate for multi-robot cooperative positioning, the paper presents population density particle swarm optimization-particle filter (PDPSO-PF), which draws cooperative coevolutionary algorithm in ecology into particle swarm optimization. By taking full account of the competitive relationship between the environme...

Swarm Microrobotics aims to apply Swarm Intelligence algorithms and strategies to a large number of fabricated miniaturized autonomous or semi-autonomous agents, allowing collective, decentralized and self-organizing behaviors of the robots. The ability to establish basic information networking is fundamental in such swarm systems, where inter-robot communication is the base of emergent behavio...

This Paper represents a literature review of Swarm intelligence algorithm in the area of semi-supervised classification. There are many research papers for applying swarm intelligence algorithms in the area of machine learning. Some algorithms of SI are applied in the area of ML either solely or hybrid with other ML algorithms. SI algorithms are also used for tuning parameters of ML algorithm, ...

During reproductive swarming, honey bee scouts perform two very important functions. Firstly, they find new nesting locations and return to the swarm cluster to communicate their discoveries. Secondly, once the swarm is ready to depart, informed scout bees act as guides, leading the swarm to its final destination. We have previously hypothesised that the two processes, selecting a new nest site...