Subject: Autonomous Unmanned Aerial Vehicle Swarms: Optimal Self-Organization and Control for Search and Hunt Missions
Faculties: Faculty of Aerospace Engineering
  Faculty of Computer Science
Researchers: Associate Professor Pini Gurfil and Professor Alfred M. Bruckstein


In this study we look for optimal algorithms for patrolling, searching and surveillance using multiple cooperative autonomous unmanned aerial vehicles (UAVs).

The proposed algorithms will employ realistic dynamical modeling as well as flocking rules via inter-vehicle ad-hoc communication.

Combining some recent progress in solving for the optimal search pattern of UAV flocks (MARS Lab) and recent results in inter-vehicle communication, simulation and control (DSSL) will lead to beyond the state-of-the-art algorithms for cooperative self-organization and search using UAV flocks.