Tesis de maestría

Multiple-robot motion planning in an unknown environment

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This thesis proposes an implementation of a Multiple Robot System that handles a heavy object from an initial point to a final one. The System does not know where it is located inside a workspace, so it needs to find out its location to compute a path that connects the desired point. The System is compound by three main elements: a Planner, a Transmitter, and the Robots. The Robots and the Transmitter are heavily bounded; they are in charge of controlling the robot as well as retrieving environment information. They are not in charge of any heavy computing operations because it is all done in the Planner. The Planner uses several Artificial Intelligence algorithms such as the Particle Filter, Kalman Filter and A* (A star) search. The environment is decomposed using an Approximate Cell Decomposition. --Abstract.

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