Editorial: Enhanced human modeling in robotics for socially-aware place navigation

Konstantinos A. Tsintotas, Ioannis Kansizoglou, Katerina Pastra, Yiannis Aloimonos, Antonios Gasteratos, Giorgios Ch. Sirakoulis, Giulio Sandini

Abstract: systematically examining various dimensions such as human pose estimation (3), action recognition (4, 5), 20 language understanding (6), and affective computing (7) (see Fig. 1). The first is the discernment of the 21 spatial configuration of an individual's body, a pivotal facet enabling a robotic system to comprehend 22 humans' physical presence and movements within its proximate environment (8). At the same time, action 23 recognition further augments this comprehension by interpreting the activities in which individuals are 24 engaged (9), thereby contributing to a nuanced understanding of the contextual environment (10). Language for. Next, it is self-evident that even in such an elementary and minimal environment compared to the