Vision-based, distributed control laws formotion coordination of nonholonomic robots
IEEE Transactions on Robotics
Vision-based leader-follower formations with limited information
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Entropy-based motion segmentation from a moving platform
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Trajectory Planning and Control for Airport Snow Sweeping by Autonomous Formations of Ploughs
Journal of Intelligent and Robotic Systems
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This work presents a new problem along with our new algorithm for a multi-robot formation with minimally controlled conditions. For multi-robot cooperation, there have traditionally been prevailing assumptions in order to collect the necessary information. These assumptions include the existence of communication systems among the robots or the use of specialized sensors such as laser scanners or omnidirectional cameras. However, they are not always valid, especially in emergency situations or with miniature robots. We, therefore, need to deal with the conditions that have received less attention in research regarding a multi-robot formation. There are several challenges: (1) less information is available than the well-known formation algorithms assume, (2) following strategies for deformable shapes in a formation with only local information available are needed, and (3) target segmentation without any markers is required. This work presents a formation algorithm based on a visual tracking algorithm, including how to process the image measurements provided by a single monocular camera. Through several experiments with real robots (developed at the University of Minnesota), we show that the proposed algorithms work well with minimal sensing information.