Next century challenges: mobile networking for “Smart Dust”
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
A Pheromone-Based Utility Model for Collaborative Foraging
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Multi-Agent Patrolling with Reinforcement Learning
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Swarm Approaches for the Patrolling Problem, Information Propagation vs. Pheromone Evaporation
ICTAI '07 Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence - Volume 01
Theoretical Study of Ant-based Algorithms for Multi-Agent Patrolling
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Diminishing returns of engineering effort in telerobotic systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Online adaptation of path formation in UAV search-and-identify missions
ICANNGA'11 Proceedings of the 10th international conference on Adaptive and natural computing algorithms - Volume Part II
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It is emphasized in numerous prospective studies that the development of swarms of Unmanned Aerial Vehicules (UAV) should be important in the next years. However, the design of these new multi-agent systems involves to take up many challenges. In particular, reducing the number of operators requires to define new interfaces in order to interact with such autonomous multirobot systems. We present an approach that allows one operator to control a swarm of UAVs in the context of simulated patrolling and pursuit tasks. Self-organized control relying on digital pheromones, as well as authority sharing based on several operating modes are defined. Experiments with human operators on the simulated system show that the combination of the two approaches is effective.