Target tracking techniques for multi-robot systems: Review on the state-of-the-art

Abstract

The field of target tracking has long been a focal point in robotics research, gaining particular prominence in the realm of multi-robot systems. Target tracking has extensive applications in diverse areas such as surveillance, search and rescue operations, and environmental detection. This paper presents an exhaustive review of the latest target tracking methodologies employed in multi-robot systems, with an emphasis on scenarios featuring both abundant and limited information availability. The review particularly addresses the challenges posed by conditions including target occlusion (partial or total), uncertainties in robots positional data, and limitations in sensory and communicative functions. This scholarly piece synthesizes literature sourced from IEEE and Springer publications, spanning the period from 2019 to 2023. This temporal scope ensures a focus on contemporary and pertinent research outcomes. The findings of this paper indicate a significant evolution in the sophistication of target tracking techniques, particularly in complex operational scenarios. These advancements signify a notable maturation in the capabilities of multi-robot systems to efficiently handle intricate and varied tasks.