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pro vyhledávání: '"Juan J. Pantrigo"'
Autor:
Ulises Orozco-Rosas, Kenia Picos, Juan J. Pantrigo, Antonio S. Montemayor, Alfredo Cuesta-Infante
Publikováno v:
IEEE Access, Vol 10, Pp 84648-84663 (2022)
This paper presents the computation of feasible paths for mobile robots in known and unknown environments using a QAPF learning algorithm. Q-learning is a reinforcement learning algorithm that has increased in popularity in mobile robot path planning
Externí odkaz:
https://doaj.org/article/eb3fa886e3ce4fa29058ddad6f4ddb56
Publikováno v:
Multimedia Tools and Applications. 81:31129-31143
Garbage management is an essential task in the everyday life of a city. In many countries, dumpsters are owned and deployed by the public administration. An updated what-and-where list is in the core of the decision making process when it comes to re