Technological progress greatly revolutionizes medicine. Robots give the opportunity to reach greater accuracy and thus improve the medical outcome. The results of a surgical intervention profoundly depend on the robot system and on the training state of the operator. Since the learning of a surgical intervention can be influenced by the complexity of the system, these interconnections are inves...

This paper presents a story about consciousness and future of reception robots. A prototype version of reception robot is developed at university of Essex for university open days and Features that are mentioned in this paper are mostly based on it. Another part of story is a discussion about consciousness in robots. In this part, it is aimed to provide a picture of consciousness and answer som...

Learning on real robots in an real, unaltered environment provides an extremely challenging problem. Many of the simplifying assumptions made in other areas of learning cannot be applied, the environment is often unforgiving and progress must be made in real-time. In this paper, we introduce a framework for learning on real-world robots that addresses these issues and allows some standard learn...

Sensing uncertainty is a central issue in robotics. Sensor limitations often prevent accurate state estimation, and robots find themselves confronted with a complicated information (belief) space. In this paper we define and characterize the information spaces of very simple robots, called Bitbots, which have severe sensor limitations. While complete estimation of the robot’s state is impossibl...