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arXiv · 1705.04010

Swarm-Enabling Technology for Multi-Robot Systems

Mohammadreza Chamanbaz·David Mateo·Brandon M. Zoss·Grgur Tokić·Erik Wilhelm·Roland Bouffanais·and Dick K. P. Yue
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Abstract

Swarm robotics has experienced a rapid expansion in recent years, primarily fueled by specialized multi-robot systems developed to achieve dedicated collective actions. These specialized platforms are in general designed with swarming considerations at the front and center. Key hardware and software elements required for swarming are often deeply embedded and integrated with the particular system. However, given the noticeable increase in the number of low-cost mobile robots readily available, practitioners and hobbyists may start considering to assemble full-fledged swarms by minimally retrofitting such mobile platforms with a swarm-enabling technology. Here, we report one possible embodiment of such a technology designed to enable the assembly and the study of swarming in a range of general-purpose robotic systems. This is achieved by combining a modular and transferable software toolbox with a hardware suite composed of a collection of low-cost and off-the-shelf components. The developed technology can be ported to a relatively vast range of robotic platforms with minimal changes and high levels of scalability. This swarm-enabling technology has successfully been implemented on two distinct distributed multi-robot systems, a swarm of mobile marine buoys and a team of commercial terrestrial robots. We have tested the effectiveness of both of these distributed robotic systems in performing collective exploration and search scenarios, as well as other classical cooperative behaviors. Experimental results on different swarm behaviors are reported for the two platforms in uncontrolled environments and without any supporting infrastructure. The design of the associated software library allows for a seamless switch to other cooperative behaviors, and also offers the possibility to simulate newly designed collective behaviors prior to their implementation onto the platforms.

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Mohammadreza Chamanbaz, David Mateo, Brandon M. Zoss, Grgur Tokić, Erik Wilhelm, Roland Bouffanais, and Dick K. P. Yue. 2017-05-11. Swarm-Enabling Technology for Multi-Robot Systems. https://doi.org/10.3389/frobt.2017.00012

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