Model compensation is a standard way of improving the robustness of speech recognition systems to noise. A number of popular schemes are based on vector Taylor series (vts) compen...
— In this paper, we present a novel approach to controlling a robotic system online from scratch based on the reinforcement learning principle. In contrast to other approaches, o...
— We present a decentralized, scalable approach to assembling a group of heterogeneous parts into different products using a swarm of robots. While the assembly plans are predete...
To date we have developed and applied numerous model-based GUI testing techniques; however, we are unable to provide definitive improvement schemes to real-world GUI test planners...
Penelope A. Brooks, Brian P. Robinson, Atif M. Mem...
Abstract—This paper presents a new desynchronization algorithm aimed at providing collision-free transmission scheduling for single-hop and acyclic multi-hop wireless sensor netw...