Adaptivity: a path towards general swarm intelligence?

Frontiers in Robotics and AI

Robotics and AI

Jabez Leong Kit¹  Roland Bouffanais²  Julien Philippot²  Nikolaj Horsevad²  Mohammad Savari²  Hian Lee Kwa³ 

[1] Engineering Product Design, Singapore University of Technology and Design, Singapore, Singapore;Mechanical Engineering, University of Ottawa, Ottawa, ON, Canada;Thales Research and Technology, Singapore, Singapore;

关键词: adaptivity;    collective robotics;    multi-agent systems;    multi-robot systems;    swarm robotics;    swarm intelligence;   

DOI  :  10.3389/frobt.2023.1163185

 received in 2023-02-10, accepted in 2023-04-17,  发布年份 2023

来源: Frontiers

【 摘 要 】

The field of multi-robot systems (MRS) has recently been gaining increasing popularity among various research groups, practitioners, and a wide range of industries. Compared to single-robot systems, multi-robot systems are able to perform tasks more efficiently or accomplish objectives that are simply not feasible with a single unit. This makes such multi-robot systems ideal candidates for carrying out distributed tasks in large environments—e.g., performing object retrieval, mapping, or surveillance. However, the traditional approach to multi-robot systems using global planning and centralized operation is, in general, ill-suited for fulfilling tasks in unstructured and dynamic environments. Swarming multi-robot systems have been proposed to deal with such steep challenges, primarily owing to its adaptivity. These qualities are expressed by the system’s ability to learn or change its behavior in response to new and/or evolving operating conditions. Given its importance, in this perspective, we focus on the critical importance of adaptivity for effective multi-robot system swarming and use it as the basis for defining, and potentially quantifying, swarm intelligence. In addition, we highlight the importance of establishing a suite of benchmark tests to measure a swarm’s level of adaptivity. We believe that a focus on achieving increased levels of swarm intelligence through the focus on adaptivity will further be able to elevate the field of swarm robotics.

【 授权许可】

Unknown   
Copyright © 2023 Kwa, Kit, Horsevad, Philippot, Savari and Bouffanais.