@conference {64,
	title = {Learning to Make Facial Expressions},
	booktitle = {IEEE 8th International Conference on Development and Learning, 2009. ICDL 2009},
	year = {2009},
	month = {06/2009},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Shanghai},
	abstract = {<p><span style="color: rgb(68, 68, 68); font-family: {\textquoteright}Lucida Grande{\textquoteright}, Verdana, sans-serif; font-size: 14px;">This paper explores the process of self-guided learning of realistic facial expression production by a robotic head with 31 degrees of freedom. Facial motor parameters were learned using feedback from real-time facial expression recognition from video. The experiments show that the mapping of servos to expressions was learned in under one-hour of training time. We discuss how our work may help illuminate the computational study of how infants learn to make facial expressions.</span></p>
},
	keywords = {Actuators, Emotion recognition, face detection, face recognition, facial motor parameters, Feedback, Humans, learning (artificial intelligence), Machine Learning, Magnetic heads, Pediatrics, real-time facial expression recognition, Robot sensing systems, robotic head, Robots, self-guided learning, Servomechanisms, Servomotors},
	isbn = {978-1-4244-4117-4},
	author = {Wu, T. and Butko, N. and Ruvulo, P. and Bartlett, M. and Movellan, J.}
}
@conference {61,
	title = {A barebones communicative robot based on social contingency and Infomax Control},
	booktitle = {The 17th IEEE International Symposium on Robot and Human Interactive Communication, 2008. RO-MAN 2008},
	year = {2008},
	month = {08/2008},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Munich},
	abstract = {<p><span style="color: rgb(68, 68, 68); font-family: {\textquoteright}Lucida Grande{\textquoteright}, Verdana, sans-serif; font-size: 14px; background-color: rgba(0, 0, 0, 0.0470588);">In this paper, we present a barebones robot which is capable of interacting with humans based on social contingency. It expands the previous work of a contingency detector into having both human-model updating (developmental capability) and policy improvement (learning capability) based on the framework of Infomax control. The proposed new controller interacts with humans in both active and responsive ways handling the turn-taking between them.</span></p>
},
	keywords = {Actuators, barebones communicative robot, Communication system control, Delay, Detectors, Human robot interaction, human-model updating capability, humanoid robots, Hydrogen, Infomax control, man-machine systems, Pediatrics, policy improvement, Robot control, Robot sensing systems, Scheduling, social contingency},
	isbn = {978-1-4244-2212-8},
	author = {Tanaka, F. and Movellan, J.}
}