Gesture Spotting and Recognition for Human–Robot Interaction
IEEE Transactions on Robotics
Encoding bi-manual coordination patterns from human demonstrations
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
Hi-index | 0.00 |
In this work, we propose methods for automatically generating primitive skills from demonstration of a task. Additionally, we propose methods for improving the existing primitive skills and adding the new primitive skills incrementally and automatically. To validate our proposed methods, we present experimental results of a human-like robot handling three gestures and a task for making coffee.