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» Learning to Drive and Simulate Autonomous Mobile Robots
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2007
159views Robotics» more  RSS 2007»
13 years 6 months ago
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders
— In probabilistic mobile robotics, the development of measurement models plays a crucial role as it directly influences the efficiency and the robustness of the robot’s perf...
Christian Plagemann, Kristian Kersting, Patrick Pf...
AGS
2009
Springer
13 years 12 months ago
Two Case Studies for Jazzyk BSM
Recently, we introduced Behavioural State Machines (BSM ), a novel programming framework for development of cognitive agents with Jazzyk, its associated programming language and in...
Michael Köster, Peter Novák, David Mai...
ATAL
2010
Springer
13 years 6 months ago
Linear options
Learning, planning, and representing knowledge in large state t multiple levels of temporal abstraction are key, long-standing challenges for building flexible autonomous agents. ...
Jonathan Sorg, Satinder P. Singh
DAGSTUHL
2001
13 years 6 months ago
Decision-Theoretic Control of Planetary Rovers
Planetary rovers are small unmanned vehicles equipped with cameras and a variety of sensors used for scientific experiments. They must operate under tight constraints over such res...
Shlomo Zilberstein, Richard Washington, Daniel S. ...
COSIT
2001
Springer
142views GIS» more  COSIT 2001»
13 years 9 months ago
The Utility of Global Representations in a Cognitive Map
In this paper we propose the use of small global memory for a viewer’s immediate surroundings to assist in recognising places that have been visited previously. We call this glob...
Margaret E. Jefferies, Wai K. Yeap