A platform of exploratory networked robotic cameras was created, utilizing an aesthetic approach to experimentation. Initiated by research in autonomous swarm robotic camera behavior, SwarmVision is an installation consisting of multiple Pan-Tilt-Zoom cameras on rails positioned above spectators in an exhibition space, where each camera behaves autonomously based on its own rules of computer vision and control. Each of the cameras is programmed to detect visual information of interest based on a different algorithm, and each negotiates with the other two, influencing what subject matter to study in a collective way. The emergent behaviors of the system illustrate an ongoing process of scene

The New Dunites is an interdisciplinary media arts research project that investigates the archeological site where the set for Cecile B. DeMille's The Ten Commandments was buried in 1923 [1]. In particular, this multi-phase endeavor involved the gathering of geophysical and archeological data, the historical study of the dawn of cinema in California, and a series of novel interactive multimedia installations that explored new avenues in the representation of scientific and cultural data.

The BERT2 social robot, a platform for the exploration of human-robot interaction, is currently being built at the Bristol Robotics Laboratory. This paper describes work on the robot's face, a hybrid face composed of a plastic faceplate and an LCD display, and our implementation of facial expressions on this versatile platform. We report the implementation of two representations of affect space, each of which map the space of potential emotions to specific facial feature parameters and the results of a series of human-robot interaction experiments to characterize the recognizability of the robot's archetypal facial expressions. The tested subjects' recognition of the implemented facial expressions for happy, surprised, and sad was robust (with nearly 100% recognition). Subjects, however, tended to confuse the expressions for disgusted and afraid with other expressions, with correct recognition rates of 21.1% and 52.6% respectively. Future work involves the addition of more realistic eye movements for stronger recognition of certain responses. These results demonstrate that a hybrid face with affect space facial expression implementations can provide emotive conveyance readily recognized by human beings.