ICRA 2012 Paper Abstract

Close

Paper WeA05.4

Parlaktuna, Mustafa (Middle East Technical University), Tunaoglu, Doruk (Middle East Technical University), Ugur, Emre (National Institute of Information and Comunications Technology (), Sahin, Erol (Middle East Technical University)

Closed-loop primitives: A method to generate and recognize reaching actions from demonstration

Scheduled for presentation during the Invited Session "Embodied Inteligence - iCUB" (WeA05), Wednesday, May 16, 2012, 09:15−09:30, Meeting Room 5 (Ska)

2012 IEEE International Conference on Robotics and Automation, May 14-18, 2012, RiverCentre, Saint Paul, Minnesota, USA

This information is tentative and subject to change. Compiled on February 24, 2018

Keywords Recognition, Humanoid Robots, Learning and Adaptive Systems

Abstract

The studies on mirror neurons observed in monkeys indicate that recognition of otherís actions activates neural circuits that are also responsible for generating the very same actions in the animal. The mirror neuron hypothesis argues that such an overlap between action generation and recognition can provide a shared worldview among individuals and be a key pillar for communication. Inspired by these findings, this paper extends a learning by demonstration method for online recognition of observed actions. The proposed method is shown to recognize and generate different reaching actions demonstrated by a human on a humanoid robot platform. Experiments show that the proposed method is robust to both occlusions during the observed actions as well as variances in the speed of the observed actions. The results are successfully demonstrated in an interactive game with the iCub humanoid robot platform.

 

 

Technical Content © IEEE Robotics & Automation Society

This site is protected by copyright and trademark laws under US and International law.
All rights reserved. © 2002-2018 PaperCept, Inc.
Page generated 2018-02-24  06:14:38 PST  Terms of use