To develop algorithms that address peer-to-peer model of collaboration with mobility, communication and sensing/processing constraints.
Machine collaboration concepts have been extended to UAVs in order to search and prosecute targets in an area, where the positions of the targets are unknown to the UAVs. The major challenge in trajectory planning of multiple UAVs is that the planning of individual agent cannot be indepen
dent from other agents’ planning, as trajectories generated by agents intended for independent exhaustive coverage may yield redundancy. The proposed cognitive team theoretic solution aims to minimise predefined cost like fuel and time needed in locating the target. This method has been exclusively proposed to deal with the practical scenario, where the UAVs are predisposed to communication constraints due to the limitation in sensor detection range.
Multi-agent search problem with 4 targets and 4 agents that cover a search area of 100 x 100 m²