Fault-tolerant formation driving mechanism designed for heterogeneous MAVs-UGVs groups

Saska, Martin, Krajnik, Tomas, Vonasek, Vojtech , Kasl, Zdenek, Spurny, Vojtech and Preucil, Libor (2013) Fault-tolerant formation driving mechanism designed for heterogeneous MAVs-UGVs groups. Journal of Intelligent and Robotic Systems . ISSN 0921-0296

Full content URL: http://link.springer.com/article/10.1007%2Fs10846-...


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A fault-tolerant method for stabilization and navigation of 3D heterogeneous formations is proposed in this paper. The presented Model Predictive Control (MPC) based approach enables to deploy compact formations of closely cooperating autonomous aerial and ground robots in surveillance scenarios without the necessity of a precise external localization. Instead, the proposed method relies on a top-view visual relative localization provided by the micro aerial vehicles flying above the ground robots and on a simple yet stable visual based navigation using images from an onboard monocular camera. The MPC based schema together with a fault detection and recovery mechanism provide a robust solution applicable in complex environments with static and dynamic obstacles. The core of the proposed leader-follower based formation driving method consists in a representation of the entire 3D formation as a convex hull projected along a desired path that has to be followed by the group. Such an approach provides non-collision solution and respects requirements of the direct visibility between the team members. The uninterrupted visibility is crucial for the employed top-view localization and therefore for the stabilization of the group. The proposed formation driving method and the fault recovery mechanisms are verified by simulations and hardware experiments presented in the paper.

Additional Information:Published online: 12 October 2013
Keywords:Mobile robots, Micro aerial vehicles, Formation driving, Fault detection and recovery, Model predictive control, Leader-follower, Trajectory planning
Subjects:H Engineering > H670 Robotics and Cybernetics
H Engineering > H671 Robotics
Divisions:College of Science > School of Computer Science
ID Code:12668
Deposited On:11 Dec 2013 14:26

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