Automatic programming of behavior-based robots using reinforcement learning
Artificial Intelligence
Learning concepts from sensor data of a mobile robot
Machine Learning - Special issue on robot learning
Natural methods for robot task learning: instructive demonstrations, generalization and practice
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
A survey of robot learning from demonstration
Robotics and Autonomous Systems
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This paper presents an approach to universal interaction which can be used for robot knowledge acquisition and transfer of acquired knowledge between different robots. There are similarities between human and machine learning techniques so learning by demonstration and conceptual learning were used as a basis for demonstrating our proposed type of interaction. Advantages and limitations of proposed interaction are described and discussed. Also, empirical study to test our approach was carried out and results are presented and analyzed.