RT Journal Article
T1 Evolution of socially-aware robot navigation
A1 Guillén-Ruiz, Silvia
A1 Bandera-Rubio, Juan Pedro
A1 Hidalgo-Paniagua, Alejandro
A1 Bandera-Rubio, Antonio Jesús
K1 Robótica
K1 Conciencia de clase
AB 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.
PB MDPI
YR 2023
FD 2023-03-24
LK https://hdl.handle.net/10630/34014
UL https://hdl.handle.net/10630/34014
LA eng
NO Guillén-Ruiz, S.; Bandera, J.P.; Hidalgo-Paniagua, A.; Bandera, A. Evolution of Socially-Aware Robot Navigation. Electronics 2023, 12, 1570.
NO European Union’s Horizon 2020 research and innovation programme under grant agreement No 825003 (DIH-HERO SUSTAIN and DIHHERO GAITREHAB).Projects TED2021-131739B-C21 and PDC2022-133597-C42, funded by the Gobierno de España and FEDER funds.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026