In the era of robots becoming an industry standard, optimizing how a robot works is of the utmost importance. In this work, we simulate a simple work space with a robot manipulator, which transfers a product from one surface to another. Our aim is to find an optimal motion that is simultaneously fast and energy-efficient. To find an optimal motion trajectory, we used four different planners: BiTRRT, PRM*, RRT* and cartesian planner. This work also explores how changing the work space affects the efficiency of robot motion. We compare the transfers of a product at differing distances of the surfaces and when obstacles of different sizes are introduced. These findings can significantly contribute to the knowledge of how to organize the work space in a factory so as to maximize the productivity of the robots.
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