Tracking and data association
A robot ping-pong player: experiment in real-time intelligent control
A robot ping-pong player: experiment in real-time intelligent control
Model-based control of a robot manipulator
Model-based control of a robot manipulator
Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Autonomous robot calibration for hand-eye coordination
International Journal of Robotics Research
A computational description of the organization of human reaching and prehension
A computational description of the organization of human reaching and prehension
International Journal of Robotics Research
Robot Learning
Learning Complex Tasks Using a Stepwise Approach
Journal of Intelligent and Robotic Systems
Task-Level Robot Learning
Evolution of homing navigation in a real mobile robot
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Learning Complex Tasks Using a Stepwise Approach
Journal of Intelligent and Robotic Systems
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One of the most important drawbacks of real robots is their lack of flexibility to changes in the environment or of the task. This paper presents a method enabling a visually guided robot to coordinate its movements with the vision processes. This method has been tested with a manipulator tracking maneuvering targets. The learning phase is performed in about one hour of repeated movements. After that, the robot can perform smooth and fast reaching movements and easily drop small objects into the wagon of a model train moving on an arbitrary trajectory.