Robotics: control, sensing, vision, and intelligence
Robotics: control, sensing, vision, and intelligence
Simulated annealing & boltzmann Machines: a stochastic approach to combinatorialoptimization & neural computing
Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Multilayer feedforward networks are universal approximators
Neural Networks
Introduction to the theory of neural computation
Introduction to the theory of neural computation
Neural computation and self-organizing maps: an introduction
Neural computation and self-organizing maps: an introduction
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Optimization networks for the generation of block designs
Journal of Artificial Neural Networks - Special issue: neural networks for optimization
The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Pulsed neural networks
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Biology and Technology of Intelligent Autonomous Agents
Biology and Technology of Intelligent Autonomous Agents
The Handbook of Brain Theory and Neural Networks
The Handbook of Brain Theory and Neural Networks
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Recent Advances in Robot Learning
Recent Advances in Robot Learning
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Kohonen Maps
Making Robots Smarter: Combining Sensing and Action through Robot Learning
Making Robots Smarter: Combining Sensing and Action through Robot Learning
Self-Organizing Maps
Robot Control: The Task Function Approach
Robot Control: The Task Function Approach
Parallel Models of Associative Memory
Parallel Models of Associative Memory
Evolution strategies –A comprehensive introduction
Natural Computing: an international journal
Model complexity control and statisticallearning theory
Natural Computing: an international journal
Assessing Image Features for Vision-Based Robot Positioning
Journal of Intelligent and Robotic Systems
Learning to Predict by the Methods of Temporal Differences
Machine Learning
Proceedings of the First European Workshop on Evolutionary Robotics
Proceedings of the First European Workshop on Evolutionary Robotics
Learning Inverse Kinematics via Cross-Point Function Decomposition
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
The Advantages of Evolutionary Computation
Biocomputing and emergent computation: Proceedings of BCEC97
Architecture-Independent Approximation of Functions
Neural Computation
A framework to deal with interference in connectionist systems
AI Communications
Self-calibration of a space robot
IEEE Transactions on Neural Networks
On-line learning with minimal degradation in feedforward networks
IEEE Transactions on Neural Networks
Natural inspiration for artificial adaptivity: some neurocomputing experiences in robotics
UC'05 Proceedings of the 4th international conference on Unconventional Computation
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The limited adaptivity of current robots is preventing their widespreadapplication. Since the biological world offers a full range of adaptive mechanisms working at different scales, researchers have turned to it for inspiration. Among the several disciplines trying to reproduce these mechanisms artificially, this paper concentrates on the field of Neural Networks and its contributions to attain sensorimotor adaptivity in robots. Essentially this type of adaptivity requires tuning nonlinear mappings on the basis of input-output information. After briefly reviewing the fundamentals of neural computing, the paper describes several experimental robotic systems relying on the following adaptive mappings: inverse kinematics, inverse dynamics, visuomotor and force-control mappings. Finally, the main trends in the evolution of neural computing are highlighted, followed by some remarks drawn from the surveyed robotic applications.