This paper is the first of a two paper series that deals with an important problem in on-line learning mechanisms for autonomous agents that must perform non trivial tasks and oper...
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...
Abstract. In autonomous indoor navigation some number of localizations and orientations of the vehicle can be learned in advance. No artificial landmarks are required to exist. We...
Wlodzimierz Kasprzak, Ewa Wojciech Szynkiewicz, Mi...
This paper describes a new model for understanding natural language commands given to autonomous systems that perform navigation and mobile manipulation in semi-structured environ...
Stefanie Tellex, Thomas Kollar, Steven Dickerson, ...
This article describes the software architecture of an autonomous, interactive tour-guide robot. It presents a modular, distributed software architecture, which integrates localiz...
Wolfram Burgard, Armin B. Cremers, Dieter Fox, Dir...