| Autors: Slavova, A. V., Hristov, V. D. Title: Application of Reinforcement Learning in Autonomous Mobile Robots Keywords: autonomous, control, mobile robot, reinforcement learning Abstract: With the rapid rise of the deep reinforcement learning and progressive development of sensors for autonomous mobile robots it is feasible to teach robots to solve tasks of autonomous navigation in unknown environments. Reinforcement learning itself is a technique that solves this problem. In this work we discuss the reinforcement leaning approach, as well as the requirements needed for the mobile robots to use it. It also give example of modern autonomous mobile robot and its specification. References
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Цитирания (Citation/s):
1. Sajith M., Savitha K.K., An Integrated Autonomous Mobile Robot for Smart Hospital Logistics and Patient Monitoring, 2025, International Conference on Nexgen Networks and Cybernetics Ic2nc 2025 Proceedings, issue 0, pp. 1180-1185, DOI 10.1109/IC2NC67409.2025.11375859 - 2026 - в издания, индексирани в Scopus
2. Khan I.U., Kumar Raja D.R., IntelliDrive autonomous robot powered by large language model, 2025, Iaes International Journal of Robotics and Automation, issue 3, vol. 14, pp. 339-347, DOI 10.11591/ijra.v14i3.pp339-347, issn 20894856, eissn 27222586 - 2026 - в издания, индексирани в Scopus
Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus