Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
Despite the recent proliferation of work on semistructured data models, there has been little work to date on supporting uncertainty in these models. In this paper, we propose a m...
— In this paper, we experimentally implement and validate distributed consensus algorithms on a mobile actuator and sensor network platform under directed, possibly switching int...
Wei Ren, Haiyang Chao, William Bourgeous, Nathan S...
This paper describes a logic-based framework for interpretation of sequences of scenes captured by a stereo vision system of a mobile robot. An algorithm for anchoring and interpr...
— An important milestone for building affordable robots that can become widely popular is to address robustly the Simultaneous Localization and Mapping (SLAM) problem with inexpe...