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IJAIT
2008
146views more  IJAIT 2008»
14 years 12 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 4 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
15 years 1 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
AAAI
1997
15 years 1 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 11 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...