Our research addresses two important problems that arise in modern large-scale distributed systems: (1) the necessity to virtualize their data flows by applying actions such as ï...
Radhika Niranjan, Ada Gavrilovska, Karsten Schwan,...
Classically, an approach to the multiagent policy learning supposed that the agents, via interactions and/or by using preliminary knowledge about the reward functions of all playe...
Polymorphic, or shape-shifting, robots can normally tackle more types of tasks than non-polymorphic robots due to their flexible morphology. Their versatility adds to the challeng...
Jill L. Drury, Holly A. Yanco, Whitney Howell, Bri...
This paper describes an extensive analysis of the comfort level data of 7 subjects with respect to 12 robot behaviours as part of a human-robot interaction trial. This includes ro...
Kheng Lee Koay, Kerstin Dautenhahn, Sarah Woods, M...
Most sensor network research and software design has been guided by an architectural principle that permits multi-node data fusion on small-form-factor, resource-poor nodes, or mo...