Hai Zhu, Jelle Juhl, Laura Ferranti, and Javier Alonso-Mora
Proceedings of the 2019 IEEE Conference on Robotics and Automation
Publication year: 2019


This paper presents a distributed method for splitting and merging of multi-robot formations in dynamic environments with static and moving obstacles. Splitting and merging actions rely on distributed consensus and can be performed to avoid obstacles. Our method accounts for the
limited communication range and visibility radius of the robots and relies on the communication of obstacle-free convex regions and the computation of an intersection graph. In addition, our method is able to detect and recover from (permanent and temporary) communication and motion faults. Finally, we demonstrate the applicability and scalability of the proposed method in simulations with up to sixteen quadrotors and realworld experiments with a team of four quadrotors.