Abstract
Machine Learning.- Real-World Robotics: Learning, to Plan for Robust Execution.- Robot Programming by Demonstration (RPD): Supporting the Induction by Human Interaction.- Performance Improvement of Robot Continuous-Path Operation through Iterative Learning Using Neural Networks.- Learning Controllers for Industrial Robots.- Active Learning for Vision-Based Robot Grasping.- Purposive Behavior Acquisition for a Real Robot by Vision-Based Reinforcement Learning.- Learning Concepts from Sensor Data of a Mobile Robot.
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