Two-arm manipulation: what can we learn by studying humans?
IROS '95 Proceedings of the International Conference on Intelligent Robots and Systems-Volume 1 - Volume 1
Incremental learning of gestures by imitation in a humanoid robot
Proceedings of the ACM/IEEE international conference on Human-robot interaction
Some new indexes of cluster validity
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Learning Non-linear Multivariate Dynamics of Motion in Robotic Manipulators
International Journal of Robotics Research
Design considerations of expressive bidirectional telepresence robots
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Style by demonstration: teaching interactive movement style to robots
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
Style by demonstration for interactive robot motion
Proceedings of the Designing Interactive Systems Conference
Short survey: Dual arm manipulation-A survey
Robotics and Autonomous Systems
Design and evaluation techniques for authoring interactive and stylistic behaviors
ACM Transactions on Interactive Intelligent Systems (TiiS)
Skill learning and inference framework
AGI'13 Proceedings of the 6th international conference on Artificial General Intelligence
User-centered programming by demonstration: stylistic elements of behavior
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Encoding bi-manual coordination patterns from human demonstrations
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
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We present a generic framework that combines Dynamical Systems movement control with Programming by Demonstration (PbD) to teach a robot bimanual coordination task. The model consists of two systems: a learning system that processes data collected during the demonstration of the task to extract coordination constraints and a motor system that reproduces the movements dynamically, while satisfying the coordination constraints learned by the first system. We validate the model through a series of experiments in which a robot is taught bimanual manipulatory tasks with the help of a human.