Abstract. In this paper we study distributed online learning of locomotion gaits for modular robots. The learning is based on a stochastic approximation method, SPSA, which optimiz...
In this paper, we explore how to effectively create and use "instant mesh networks", i.e., wireless mesh networks that are dynamically deployed in temporary circumstances...
Bo Xing, Mayur Deshpande, Sharad Mehrotra, Nalini ...
We present SNAP (Small-world Network Analysis and Partitioning), an open-source graph framework for exploratory study and partitioning of large-scale networks. To illustrate the c...
Information networks are ubiquitous in many applications and analysis on such networks has attracted significant attention in the academic communities. One of the most important ...