Alessandro Aiello
Robotic arm pick-and-place tasks: Implementation and comparison of approaches with and without machine learning (deep reinforcement learning) techniques.
Rel. Marcello Chiaberge, Enrico Sutera, Vittorio Mazzia, Francesco Salvetti. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2020
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Abstract
A robotic arm is nothing more than a mechatronic structure inspired by the conformation of the human arm and capable of performing various tasks. The ability to perform tasks, in relation to the "hand" that is given, makes robotic arms very versatile; they can be programmed to perform any task a human arm can perform, however grasping objects is certainly the most interesting and requested. Pick-and-place in general is one of the most complete tasks that can be required of a robotic arm; although it may seem a trivial and immediate gesture for a man, for a robot it turns out to be a very complex task, it is not a coincidence that its complexity makes it a task well suited for studies and research.
The intrinsic multidisciplinary nature of the field of robotics makes it suitable for the integration of techniques and knowledge from all parts of engineering and science, this leads to the introduction of one of the most profitable applications in this sector: the artificial intelligence (AI)
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