We introduce the Xpuck swarm, a research platform with an aggregate raw processing power in excess of two teraflops. The swarm uses 16 e-puck robots augmented with custom hardware that uses the substantial CPU and GPU processing power available from modern mobile system-on-chip devices. The augmented robots, called Xpucks, have at least an order of magnitude greater performance than previous sw...

This paper introduces using Particle Swarm Optimization algorithm (PSO) to improve the robot motion to arrive to its goal in cluttered environments. The Particle Swarm Optimizer is used to optimize the forces applied to the robot by selecting optimum factors of these applied forces. This improvement raises the robot ability to avoid the obstacles. A measure of smoothness is used to guide the PS...

Multi-robot systems have been studied in tasks that require the robots to be physically linked. In such a configuration, a group of robots may navigate a terrain that proves too difficult for a single robot. On the contrary, many collective tasks can be accomplished more efficiently by a group of independent robots. This paper is about swarm-bot, a robotic system that can operate in both config...

Within the context of multiple mobile robot systems, this chapter explores the current state of the art. After a brief introduction, we first examine architectures for multirobot cooperation, exploring the alternative approaches that have been developed. Next, we explore communications issues and their impact on multirobot teams in Sect. 40.3, followed by a discussion of swarm robot systems in ...

In this work we consider three different cases of robot-robot interactions and resulting global information transfer in robot swarms. These mechanisms define cooperative properties of the system and can be used for designing collective behavior. These three cases are demonstrated and discussed based on experiments in a swarm of microrobots ”Jasmine”.

In this paper research results on control quality improvement by the use of particle swarm optimization algorithm (PSO) was described as an alternative for the classic PID tuning. For the problem of multi-rotor flying robot control, test studies were conducted using a specially for this purpose designed and performed measuring testbed. This solution allows to obtain the angle as a feedback in f...

This paper presents a virtual-physics force based control strategy for swarm robotic chemical source localization. The control force includes: structure formation force, goal force, and obstacle avoidant force. For swarm formation, the robots maintain the regular polygon formation and a virtual robot is located at the center of the polygon. The motion of the virtual robot depends on the goal fo...

Swarm principles are increasingly being used to design controllers for the coordination of multi-robot systems or, in general, multi-agent systems. This paper proposes a two-dimensional Lagrangian swarm model that enables the planar agents, modeled as point masses, to swarm whilst effectively avoiding each other and obstacles in the environment. A novel method, based on an extended Lyapunov app...

A number of different interaction modalities have been proposed for human engagement with networked systems. In this paper, we establish formal guarantees for whether or not a given such human-swarm interaction (HSI) strategy is appropriate for achieving particular multi-robot tasks, such as guiding a swarm of robots into a particular geometric configuration. In doing so, we define what it mean...

Human interaction with robot swarms (HSI) is a young field with very few user studies that explore operator behavior. All these studies assume perfect communication between the operator and the swarm. A key challenge in the use of swarm robotic systems in human supervised tasks is to understand human swarm interaction in the presence of limited communication bandwidth, which is a constraint ari...