This research aims to identify effective ways of integrating Artificial Intelligence (AI)
technology with innovative learning methods to improve students' creative thinking skills in …

Automatic off-line design is an attractive approach to implementing robot swarms. In this
approach, a designer specifies a mission to be accomplished by the swarm, and an …

Swarm algorithms promise to solve certain problems in large multi-robot systems. The
evaluation of large swarms is however challenging as simulations alone often lack some …

Abstract Wall Climbing Robots (WCR) have various applications in industries for performing
many industrial-specific tasks, which in turn improve the performance and efficiency of the …

In swarm robotics, the design problem is one of the most pressing issues of today's research.
Robots in a swarm must be autonomous and are usually individually programmed …

Understanding collective behavior and how it evolves is important to ensure that robot
swarms can be trusted in a shared environment. One way to understand the behavior of the …

In this paper, the problem of forecasting/predicting emergent behavior of untethered
magnetic microrobots (MMs) from raw grayscale time-series image data is considered. An …

Robot swarms are large self-organizing groups of robots that coordinate to collectively
perform missions that escape their individual capabilities. In a robot swarm, the individuals …

Robot swarms are self-organizing groups of robots that can cooperate to accomplish tasks
beyond their individual capabilities. Swarm robotics offers a promising solution for …

A swarm is a group of agents with local knowledge of the environment, that collaborate,
coordinating their actions in order to perform a task. In this study, I address the best-of-n …