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We explore the problem where a group of robots with different velocities search for a target in an unbounded unknown environment. The target position is unknown, hence, an online search algorithm is developed. The H-MRSTM algorithm (Heterogeneous Multi-Robot Search Time Multiplication), launches a group of n robots from a common starting location to search for the target. The robots are assigned to...
We investigate the path finding problem to a target whose position is known in an unknown and unbounded environment. We present a novel motion planning algorithm which uses a group of heterogeneous robots to search for the path to the target. The algorithm assigns the robots in pairs, each two robots within a pair have the same velocity, and are cooperating to search for the path to the target. The...
We explore two motion planning problems where a group of mobile robots has to reach a target located in an a priori unknown environment while on-line planning the next step. In the first problem the target position is unknown and should be found by the robots, while in the second problem the target position is known and only a path to it should be found. We focus on optimizing the cost of the task...
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