Journal of Intelligent and Robotic Systems
Using fuzzy sets to represent uncertain spatial knowledge in autonomous robots
Spatial Cognition and Computation
Systems Analysis Modelling Simulation
Probabilistic and Count Methods in Map Building for Autonomous Mobile Robots
EWLR-8 Proceedings of the 8th European Workshop on Learning Robots: Advances in Robot Learning
The Dempster-Shafer Approach to Map-Building for an Autonomous Mobile Robot with Fuzzy Controller
AFSS '02 Proceedings of the 2002 AFSS International Conference on Fuzzy Systems. Calcutta: Advances in Soft Computing
Lifelong Planning for Mobile Robots
Revised Papers from the International Seminar on Advances in Plan-Based Control of Robotic Agents,
Intelligent control of nonholonomic mobile robots with fuzzy perception
Fuzzy Sets and Systems - Special issue: Fuzzy set techniques for intelligent robotic systems
Biologically inspired neural network approaches to real-time collision-free robot motion planning
Biologically inspired robot behavior engineering
Performance bounds for planning in unknown terrain
Artificial Intelligence - special issue on planning with uncertainty and incomplete information
The ASPICE project: inclusive design for the motor disabled
Proceedings of the working conference on Advanced visual interfaces
A generalized real-time obstacle avoidance method without the Cspace calculation
Journal of Computer Science and Technology
A SOM-based multi-agent architecture for multirobot systems
International Journal of Robotics and Automation
A 3-level autonomous mobile robot navigation system designed by using reasoning/search approaches
Robotics and Autonomous Systems
A Comparative Study of Three Mapping Methodologies
Journal of Intelligent and Robotic Systems
Visual perception in design and robotics
Integrated Computer-Aided Engineering - Informatics in Control, Automation and Robotics
Mobile robot localisation with stereo vision
ISCGAV'05 Proceedings of the 5th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Fuzzy logic-based real-time robot navigation in unknown environment with dead ends
Robotics and Autonomous Systems
Decentralized coordination of automated guided vehicles
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
Case-Based Reasoning in Robot Indoor Navigation
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Effective maximum likelihood grid map withconflict evaluation filter using sonar sensors
IEEE Transactions on Robotics
SLAM Estimation in Dynamic Outdoor Environments: A Review
ICIRA '09 Proceedings of the 2nd International Conference on Intelligent Robotics and Applications
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Real-time robot path planning based on a modified pulse-coupled neural network model
IEEE Transactions on Neural Networks
Autonomous navigation of an automated guided vehicle in industrial environments
Robotics and Computer-Integrated Manufacturing
Fuzzy uncertainty modeling for grid based localization of mobile robots
International Journal of Approximate Reasoning
Navigation of mobile robots in unstructured environment using grid based fuzzy maps
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Behavior-Based blind goal-oriented robot navigation by fuzzy logic
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Detecting free space and obstacles in omnidirectional images
ICIRA'11 Proceedings of the 4th international conference on Intelligent Robotics and Applications - Volume Part I
Optimal Robot Path Planning with Cellular Neural Network
International Journal of Intelligent Mechatronics and Robotics
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An algorithmic solution method is presented for the problem of autonomous robot motion in completely unknown environments. Our approach is based on the alternate execution of two fundamental processes: map building and navigation. In the former, range measures are collected through the robot exteroceptive sensors and processed in order to build a local representation of the surrounding area. This representation is then integrated in the global map so far reconstructed by filtering out insufficient or conflicting information. In the navigation phase, an A*-based planner generates a local path from the current robot position to the goal. Such a path is safe inside the explored area and provides a direction for further exploration. The robot follows the path up to the boundary of the explored area, terminating its motion if unexpected obstacles are encountered. The most peculiar aspects of our method are the use of fuzzy logic for the efficient building and modification of the environment map, and the iterative application of A*, a complete planning algorithm which takes full advantage of local information. Experimental results for a NOMAD 200 mobile robot show the real-time performance of the proposed method, both in static and moderately dynamic environments