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IJAIT
2008
146views more  IJAIT 2008»
14 years 9 months ago
Learning to Behave in Space: a Qualitative Spatial Representation for Robot Navigation with Reinforcement Learning
ion mechanism to create a representation of space consisting of the circular order of detected landmarks and the relative position of walls towards the agent's moving directio...
Lutz Frommberger
AGENTS
1997
Springer
15 years 1 months ago
Learning View Graphs for Robot Navigation
Abstract. We present a purely vision-based scheme for learning a topological representation of an open environment. The system represents selected places by local views of the surr...
Matthias O. Franz, Bernhard Schölkopf, Philip...
AAAI
2000
14 years 11 months ago
Performance Comparison of Landmark Recognition Systems for Navigating Mobile Robots
Self-localisation is an essential competence for mobile robot navigation. Due to the fundamental unreliability of dead reckoning, a robot must depend on its perception of external...
Tom Duckett, Ulrich Nehmzow
78
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AAAI
1997
14 years 11 months ago
Navigation and Planning in a Mixed-Initiative User Interface
Mixed-initiative planning is one approach to building an intelligent decision-making environment. A mixedinitiative system shares decision-making responsibility with the user such...
Robert St. Amant
CGF
2007
133views more  CGF 2007»
14 years 9 months ago
Pedestrian Reactive Navigation for Crowd Simulation: a Predictive Approach
This paper addresses the problem of virtual pedestrian autonomous navigation for crowd simulation. It describes a method for solving interactions between pedestrians and avoiding ...
Sébastien Paris, Julien Pettré, St&e...