Section I Trajectory Generation. - 1. Learning Global Topological Properties of Robot Kinematic Mappings for Neural Network-based Configuration Control. - 2. A One-eyed Self Learning Robot Manipulator. - 3. A CMAC Neural Network for the Kinematic Control of Walking Machine. - 4. Neurocontroller Selective Learning from Man-in-the-Loop Feedback Control Actions. - 5. Application of Self-Organizing Neural Networks for Mobile Robot Environment. - 6. A Neural Network Based Inverse Kinematics Solution in Robotics. - 7. Hopefield Net Generation and Encoding of Trajectories in Contained Environment. - Section II - Recurrent Networks. - 8. Some Preliminary Comparisons Between a Neural Adaptive Controller and a Model Reference Adaptive Controller. - 9. Stable Nonlinear System Identification Using Neural Network Models. - 10. Modeling of Robot Dynamics by Neural Networks with Dynamic Neurons. - 11. Neural Networks Learning Rules for Control: Uniform Dynamic Backpropagation and the Heavy Adaptive Learning Rule. - 12. Parameter Learning and Compliance Control Using Neural Networks. - 13. Generalisation and Extension of Motor Programs for a Sequential Recurrent Network. - 14. Temporally Continuous vs. Clocked Networks. - Section III - Hybrid Controllers. - 15. Fast Sensorimotor Skill Acquisition Based on Rule-Based Training of Neural Nets. - 16. Control of Grasping in Robot Hands by Neural Networks and Expert Systems. - 17. Robot Task Planning Using a Connectionist/Symbolic System. - Section IV - Sensing. - 18. Senses Skills Reactions and Reflexes Learning Automatic Behaviors in Multi-sensory Robotic Systems. - 19. A New Neural Net Approach to Robot 3D Perception and VisuoMotion Coordination. - 20. Connectivity Graphs for Space-Variant Active Vision. - 21. Competitive Learning for Color Space Division. - 22. Learning to Understand and Control in a World of Events. - 23. Self-selection of Input Stimuli for Improving Performance. - Section V - Biological Systems. - 24. A biologically-Inspired Architecture for Reactive Motor Control. - 25. Equilibria Dynamics of a Neural Network Model for Opponent Muscle Control. - 26. Developmental Robotics'- A New Approach to the Specification of Robot Programs. - 27. A Kinematics and Dynamics Robot Control System Based on Cerbro-cerebellar Interaction Modelling. - 28. What Frogs' Brains Tell Robots' Schemas. - 29. Modulation of Robotic Motor Synergies Using Reinforcement Learning Optimization. - 30. Using Optimal Control to Model Trajectory Formation and Perturbation Response in a Prehension Task. Language: English