A Bayesian approach to real-time obstacle avoidance for a mobile robot
Autonomous Robots
RoboCup-99: Robot Soccer World Cup III
Eine skalierbare, verteilte Architektur zur Navigation mobiler Systeme in dynamischen Umgebungen
Autonome Mobile Systeme 1998, 14. Fachgespräch
Integration of reactive behaviors and enhanced topological map for robust mobile robot navigation
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
The proposed 3D navigation approach of an autonomous mobile robot
CSS'10 Proceedings of the 4th international conference on Circuits, systems and signals
A three dimensional path planning algorithm
ICS'10 Proceedings of the 14th WSEAS international conference on Systems: part of the 14th WSEAS CSCC multiconference - Volume I
Self-organized multi-agent system for robot deployment in unknown environments
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation - Volume Part I
Autonomous mobile robots motion in unknown environments
Proceedings of the 15th WSEAS international conference on Systems
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Efficient navigation of mobile platforms in dynamic human-centered environments is still an open research topic. We have already proposed an architecture (MEPHISTO) for a navigation system that is able to fulfill the main requirements of efficient navigation: fast and reliable sensor processing, extensive global world modeling, and distributed path planning. Our architecture uses a distributed system of sensor processing, world modeling, and path planning units. In this arcticle, we present implemented methods in the context of data fusion algorithms for 3D world modeling and real-time path planning. We also show results of the prototypic application of the system at the museum ZKM (center for art and media) in Karlsruhe.