Unveiled at the 2007 Wired Nextfest, Zeno is a 17-inch tall, 4.5-pound humanoid robot boy. It is widely used in autism research.
Walking speed: 3.6Km/hr
Sensors: TWO HD cameras (720p, 30 fps in each motorized eye), three-axis gyroscope, three-axis accelerometer, compass, 21 joint load sensors, 20 joint position sensors, two cliff sensors, two ground contact sensors, two infrared obstacle-detection sensors, two grip-load sensors (hands), two bump sensors (feet), three microphones.
Motors: Three Cirrus CS-101 STD 4g Micro Servos and five Hitec HS-65MG motors (facial actuators); Dynamixel RX-64 (legs, hips, shoulders); Dynamixel RX-28 servos (waist).
RESEARCH (partial list)
Hanson, D., Baurmann, S., Riccio, T., Margolin, R., Dockins, T., Tavares, M. and Carpenter, K., 2009. Zeno: A cognitive character. In Ai Magazine, and Special Proceedings of AAAI National Conference, Chicago. PDF
Palestra, G., Esposito, F. and De Carolis, B., 2017. A Multimodal Interface for Robot-Children Interaction in Autism Treatment. In DCPD@ CHItaly (pp. 158-162). PDF
Ranatunga, I., Rajruangrabin, J., Popa, D.O. and Makedon, F., 2011, May. Enhanced therapeutic interactivity using social robot Zeno. In Proceedings of the 4th International Conference on PErvasive Technologies Related to Assistive Environments (p. 57). ACM. PDF
Ranatunga, I., Torres, N.A., Patterson, R., Bugnariu, N., Stevenson, M. and Popa, D.O., 2012, June. RoDiCA: a human-robot interaction system for treatment of childhood autism spectrum disorders. In Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments (p. 50). ACM. PDF
Salvador, M.J., Silver, S. and Mahoor, M.H., 2015, May. An emotion recognition comparative study of autistic and typically-developing children using the Zeno robot. In Robotics and Automation (ICRA), 2015 IEEE International Conference on (pp. 6128-6133). IEEE. PDF