Abstract
Over the past decade, a multitude of service robots have been developed to fulfill a wide range of practical purposes. Notably, roles such as reception and robotic guidance have garnered extensive popularity. In these positions, robots are progressively assuming the responsibilities traditionally held by human staff in assisting customers. Ensuring the safe and socially acceptable operation of robots in such environments poses a fundamental challenge within the context of Socially Responsible Navigation (SRN). This article presents an architecture for user identification and social navigation with a mobile robot that employs computer vision, machine learning, and artificial intelligence algorithms to identify and guide users in a social navigation context, thereby providing an intuitive and user-friendly experience with the robot.
This work was supported by Horizon Europe program under the Grant Agreement 101070351 (SERMAS).
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Notes
- 1.
Real-time Hand Gesture Recognition using TensorFlow & OpenCV: https://techvidvan.com/tutorials/hand-gesture-recognition-tensorflow-opencv/.
- 2.
Visual Geometry Group at the University of Oxford: https://www.robots.ox.ac.uk/~vgg/software/vgg_face/.
References
Song, K., et al.: Navigation control design of a mobile robot by integrating obstacle avoidance and LiDAR SLAM. In: International Conference on Systems, Man, and Cybernetics. IEEE (2018)
Silva, S., Verdezoto, N., Paillacho, D., Millan-Norman, S., Hernández, J.D.: Online social robot navigation in indoor, large and crowded environments. In: International Conference on Robotics and Automation. IEEE (2023)
Triebel, R., et al.: Spencer: a socially aware service robot for passenger guidance and help in busy airports. In: Field and Service Robotics: Results of the 10th International Conference. Springer (2016)
Stricker, R., et al.:. Interactive mobile robots guiding visitors in a university building. In: IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication. IEEE (2012)
Gross, H.-M., et al.: TOOMAS: interactive shopping guide robots in everyday use-final implementation and experiences from long-term field trials. In: IEEE International Conference on Intelligent Robots and Systems. IEEE (2009)
Hwang, H., et al.: System configuration and navigation of a guide dog robot: toward animal guide dog-level guiding work. In: International Conference on Robotics and Automation. IEEE (2023)
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Ruo, A., Sabattini, L., Villani, V. (2024). Follow Me: An Architecture for User Identification and Social Navigation with a Mobile Robot. In: Secchi, C., Marconi, L. (eds) European Robotics Forum 2024. ERF 2024. Springer Proceedings in Advanced Robotics, vol 33. Springer, Cham. https://doi.org/10.1007/978-3-031-76428-8_19
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DOI: https://doi.org/10.1007/978-3-031-76428-8_19
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