Increasing complexity of real-time systems, and demands for enabling their configurability and tailorability are strong motivations for applying new software engineering principle...
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
— The time domain passivity framework is attracting interest as a method for granting stability in both telerobotics and haptic contexts; this paper employs this approach in orde...
In 1987, Gray and Putzolo presented the five-minute rule, which was reviewed and renewed ten years later in 1997. With the advent of flash memory in the gap between traditional RA...
An architecture is described for designing systems that acquire and manipulate large amounts of unsystematized, or so-called commonsense, knowledge. Its aim is to exploit to the fu...