Model Predictive Control with a Learned Model for Safe Exploration
Alessio Rosa
Model Predictive Control with a Learned Model for Safe Exploration.
Rel. Alessandro Rizzo. Politecnico di Torino, Master of science program in Mechatronic Engineering, 2022
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Abstract
Modern information technologies and the advent of machines powered by Artificial Intelligence (AI) have already strongly influenced the world of work in the 21st century. Advances in Artificial Intelligence (AI) technology and related fields have opened up new markets and new opportunities for progress in critical areas such as health, education, energy, economic inclusion, social welfare, and the environment. In recent years, machines have surpassed humans in the performance of certain tasks related to intelligence. Although it is unlikely that machines will exhibit broadly-applicable intelligence comparable to or exceeding that of humans in the next 20 years, it is to be expected that machines will continue to reach and exceed human performance on more and more tasks.
Through the use of artificial intelligence, robots will be able to independently assess what is happening around them and make decisions on the actions they need to take
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