Ivan Aiza
Collision-free path planning for industrial robot applications.
Rel. Marina Indri, Simone Panicucci, Antonio Venezia. Politecnico di Torino, Master of science program in Mechatronic Engineering, 2023
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Abstract
Nowadays, robotics is growing rapidly thanks to its huge flexibility and potential in many industrial applications. One of the recurring problems is the collision-free path planning that allows the robot to move from an initial pose to a final pose safely, avoiding all objects in the scene. In COMAU, common planners belonging to the sampling-based category are used for collision-free path planning. To do this, the MoveIt framework is used in which is present the OMPL library that contains many of the sampling-based planners. These planners are fast and effective even in complex environments, however they generate geometric paths that are not optimized and do not consider kinematics constraints.
Indeed a second step is needed, performed by the C5G controller on board robot, which also considers kinematics constraints and adds a timing law to the collision-free geometric path in order to obtain the final robot trajectory
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