Affective computing
Designing Sociable Robots
The Development of Gaze Following as a Bayesian Systems Identification Problem
ICDL '02 Proceedings of the 2nd International Conference on Development and Learning
Foundations for a theory of mind for a humanoid robot
Foundations for a theory of mind for a humanoid robot
Recognizing Facial Expression: Machine Learning and Application to Spontaneous Behavior
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Universal Access in the Information Society
Daily HRI evaluation at a classroom environment: reports from dance interaction experiments
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Development of an android robot for studying human-robot interaction
IEA/AIE'2004 Proceedings of the 17th international conference on Innovations in applied artificial intelligence
Fully Automatic Facial Action Recognition in Spontaneous Behavior
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Learning real-time object detectors: probabilistic generative approaches
Learning real-time object detectors: probabilistic generative approaches
Interactive robots as social partners and peer tutors for children: a field trial
Human-Computer Interaction
The cog project: building a humanoid robot
Computation for metaphors, analogy, and agents
Simultaneous teleoperation of multiple social robots
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
Personalizing robot tutors to individuals' learning differences
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
| Hi-index | 0.00 |
The goal of the RUBI project is to accelerate progress in the development of social robots by addressing the problem at multiple levels, including the development of a scientific agenda, research methods, formal approaches, software, and hardware. The project is based on the idea that progress will go hand-in-hand with the emergence of a new scientific discipline that focuses on understanding the organization of adaptive behavior in real-time within the environments in which organisms operate. As such, the RUBI project emphasizes the process of design by immersion, i.e., embedding scientists, engineers and robots in everyday life environments so as to have these environments shape the hardware, software, and scientific questions as early as possible in the development process. The focus of the project so far has been on social robots that interact with 18 to 24 month old toddlers as part of their daily activities at the Early Childhood Education Center at the University of California, San Diego. In this document we present an overall assessment of the lessons and progress through year two of the project.