Artificial intelligence publications

Abstract The challenge in the DARPA Learning Applied to Ground Robots (LAGR) project is to autonomously navigate a small robot using stereo vision as the main sensor. During this project,…

We report our first experiences with Leaving Flatland, an exploratory project that studies the key challenges of closing the loop between autonomous perception and action on challenging terrain.

Although we appreciate the many challenges facing the current NIH grant system and applaud attempts at reform, we believe that several of the changes planned will cause more harm than…

Recent EcoCyc developments include a new initiative to represent and curate all types of E. coli regulatory processes such as attenuation and regulation by small RNAs.

In this extended abstract we describe the motivation, design, deployment and evaluation of the Emma system.

In this work we develop a representation that naturally combines the power of both relational and hierarchical models in the form of Logical Hierarchical Hidden Markov Models (LoHiHMMs).

We first show that for an STN, these messages can be represented compactly as sub-STNs. We then present an efficient message passing scheme for computing the minimal constraints of an…

We present a method for inferring and constructing transport reactions for transporter proteins based primarily on the analysis of the names of individual proteins in the genome annotation of an…

Presents the introductory welcome message from the conference proceedings of the 2008 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications.

We propose a framework that augments learning by demonstration through a facility for asking questions of the demonstrator. We define a catalog of questions designed to inform learning by demonstration…