Robotics and Autonomous Systems 

TL;DR: A comprehensive survey of robot Learning from Demonstration (LfD), a technique that develops policies from example state to action mappings, which analyzes and categorizes the multiple ways in which examples are gathered, as well as the various techniques for policy derivation.

TL;DR: The context for socially interactive robots is discussed, emphasizing the relationship to other research fields and the different forms of “social robots”, and a taxonomy of design methods and system components used to build socially interactive Robots is presented.

TL;DR: The invention relates to a circuit for use in a receiver which can receive two-tone/stereo signals which is intended to make a choice between mono or stereo reproduction of signal A or of signal B and vice versa.

TL;DR: It is shown how a research methodology which emphasizes ongoing physical interaction with the environment as the primary source of constraint on the design of intelligent systems has recently had significant successes on a par with the most successful classical efforts.

TL;DR: A formal model of negotiation between autonomous agents is presented, based on computationally tractable assumptions, demonstrated in the domain of business process management and empirically evaluated.