2026-06-01T05:32:40Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/340142026-02-03T11:14:56Zcom_10630_2254col_10630_37953

00925njm 22002777a 4500 dc Guillén-Ruiz, Silvia author Bandera-Rubio, Juan Pedro author Hidalgo-Paniagua, Alejandro author Bandera-Rubio, Antonio Jesús author 2023-03-24 In recent years, commercial and research interest in service robots working in everyday environments has grown. These devices are expected to move autonomously in crowded environments, maximizing not only movement efficiency and safety parameters, but also social acceptability. Extending traditional path planning modules with socially aware criteria, while maintaining fast algorithms capable of reacting to human behavior without causing discomfort, can be a complex challenge. Solving this challenge has involved the development of proactive systems that take into account cooperation (and not only interaction) with the people around them, the determined incorporation of approaches based on Deep Learning, or the recent fusion with skills coming from the field of human–robot interaction (speech, touch). This review analyzes approaches to socially aware navigation and classifies them according to the strategies followed by the robot to manage interaction (or cooperation) with humans. Guillén-Ruiz, S.; Bandera, J.P.; Hidalgo-Paniagua, A.; Bandera, A. Evolution of Socially-Aware Robot Navigation. Electronics 2023, 12, 1570. https://hdl.handle.net/10630/34014 https://doi.org/10.3390/electronics12071570 Robótica Conciencia de clase Evolution of socially-aware robot navigation