Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
The computational brain
Characterization of Signals from Multiscale Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stereo vision for planetary rovers: stochastic modeling to near real-time implementation
International Journal of Computer Vision
Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
Principal component neural networks: theory and applications
Principal component neural networks: theory and applications
Computational principles of mobile robotics
Computational principles of mobile robotics
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Fuzzy Logic Techniques for Autonomous Vehicle Navigation
Fuzzy Logic Techniques for Autonomous Vehicle Navigation
Improved Rover State Estimation in Challenging Terrain
Autonomous Robots
Ladar-Based Discrimination of Grass from Obstacles for Autonomous Navigation
ISER '00 Experimental Robotics VII
Approximate reasoning for safety and survivability of planetary rovers
Fuzzy Sets and Systems - Special issue: Fuzzy set techniques for intelligent robotic systems
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This chapter addresses computing strategies designed to enable field mobile robots to execute tasks requiring effective autonomous traversal of natural outdoor terrain. The primary focus is on computer vision-based perception and autonomous control. Hard computing methods are combined with applied soft computing strategies in the context of three case studies associated with real-world robotics tasks including planetary surface exploration and land survey or reconnaissance. Each case study covers strategies implemented on wheeled robot research prototypes designed for field operations.