Social Robot

Version 4.6 by Sofia Vlachopanou on 2025/03/02 19:28

The application will use the Pepper robot which has a built-in tablet device. More specifically, this is a humanoid robot ,commonly used, because it offers interactive services such as welcoming visitors, providing information, and even dancing. Its ability to recognize faces and interpret emotions enables it to create more natural connections, making it particularly effective in healthcare.Pepper was used before with older adults, including as a coach for those with psychiatric disorders. A lot of studies have proved that the interaction of the elderly people with the Pepper robot is efficient and helps the patient to improve the quality of their lives. [1]

Pepper is equipped with a lot of advanced sensors that enable it to interact with its environment effectively. It features four microphones, two RGB cameras, and a 3D sensor on its head, along with touch sensors on its hands and chest. Additionally, Pepper's legs are equipped with sonar, laser, and bumper sensors, along with a gyro sensor for balance. These sensors work together to allow Pepper to recognize faces, interpret emotions, and navigate its surroundings with precision [2].

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1.1 Pepper Robot

References:

[1] Neerincx, M.A., van Vught, W., Blanson Henkemans, O., Oleari, E., Broekens, J., Peters, R., Kaptein, F., Demiris, Y., Kiefer, B., Fumagalli, D. and Bierman, B. (2019). Socio-Cognitive Engineering of a Robotic Partner for Child’s Diabetes Self-Management. Frontiers in Robotics and AI, 6. doi:https://doi.org/10.3389/frobt.2019.00118.

[2] Abdel-Hamid, Ossama, et al. “Convolutional Neural Networks for Speech Recognition.” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 22, no. 10, Oct. 2014, pp. 1533–1545, www.microsoft.com/en-us/research/wp-content/uploads/2016/02/CNN_ASLPTrans2-14.pdf, https://doi.org/10.1109/taslp.2014.2339736. Accessed 20 Nov. 2019.