Educational project
Development of a "coverage path planning" algorithm for floor cleaning by a mobile robot
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In his own semester work, the student involved participated in a project to compute trajectories for a mobile robot to cover all the surfaces of a known area (cleaning or painting process) or to make a move from one point to another on the surface, avoiding obstacles.
The project led to the development of an algorithm based on machine learning, which can process trajectories optimally according to the surface map and obstacles present.of the floor by a mobile robot.
The project led to the development of an algorithm based on machine learning, which can process trajectories optimally according to the surface map and obstacles present.of the floor by a mobile robot.
The student was able to investigate various aspects of algorithmics related to the coverage path planning problem and was able to analyze the implementation aspects of embedded software.
Implementation methodologies on robots using the ROS operating system could also be examined.
Implementation methodologies on robots using the ROS operating system could also be examined.