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» Improving Collaborative Pathfinding Using Map Abstraction
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SIROCCO
2007
14 years 11 months ago
Why Robots Need Maps
Abstract. A large group of autonomous, mobile entities e.g. robots initially placed at some arbitrary node of the graph has to jointly visit all nodes (not necessarily all edges) a...
Miroslaw Dynia, Jakub Lopuszanski, Christian Schin...
NAACL
2003
14 years 11 months ago
Automatic Extraction of Semantic Networks from Text using Leximancer
Leximancer is a software system for performing conceptual analysis of text data in a largely language independent manner. The system is modelled on Content Analysis and provides u...
Andrew E. Smith
ICRA
2009
IEEE
112views Robotics» more  ICRA 2009»
15 years 4 months ago
Navigating by stigmergy: A realization on an RFID floor for minimalistic robots
Abstract— Stigmergy is a mechanism that allows the coordination of actions within the same agent or across different agents by means of traces left in the environment. We propose...
Robert Johansson, Alessandro Saffiotti
ICNC
2005
Springer
15 years 3 months ago
A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps
Abstract. Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Competitive learning in the SOM training process focusses on finding a neu...
Joseph P. Herbert, Jingtao Yao
GLOBECOM
2007
IEEE
15 years 4 months ago
Properties of Opportunistic and Collaborative Wireless Mesh Networks
Abstract—While the cost of nodes in a wireless mesh network is decreasing, the price tag of the network as a whole is best minimized by deploying the fewest number of nodes that ...
Cédric Westphal