—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sug...
This paper presents a coordination algorithm for mobile autonomous robots. Relying upon distributed sensing, the robots achieve rendezvous, that is, they move to a common location....
Abstract. In this paper we study the diagnosis and repair of incoherent terminologies. We define a number of new non-standard reasoning services to explain incoherence through pin...
Stefan Schlobach, Zhisheng Huang, Ronald Cornet, F...
It has been an important research topic since 1992 to maximize stability region in constrained queueing systems, which includes the study of scheduling over wireless ad hoc networ...