Imperial College London
Alternate

Professor Yiannis Demiris

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Human-Centred Robotics, Head of ISN
 
 
 
//

Contact

 

+44 (0)20 7594 6300y.demiris Website

 
 
//

Location

 

1011Electrical EngineeringSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@inproceedings{Lee:2012:10.1109/ICRA.2012.6224667,
author = {Lee, K and Kim, TK and Demiris, Y},
doi = {10.1109/ICRA.2012.6224667},
pages = {1994--1999},
publisher = {IEEE},
title = {Learning Reusable Task Components using Hierarchical Activity Grammars with Uncertainties},
url = {http://dx.doi.org/10.1109/ICRA.2012.6224667},
year = {2012}
}
Download

RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - We present a novel learning method using activity grammars capable of learning reusable task components from a reasonably small number of samples under noisy conditions. Our linguistic approach aims to extract the hierarchical structure of activities which can be recursively applied to help recognize unforeseen, more complicated tasks that share the same underlying structures. To achieve this goal, our method 1) actively searches for frequently occurring action symbols that are subset of input samples to effectively discover the hierarchy, and 2) explicitly takes into account the uncertainty values associated with input symbols due to the noise inherent in low-level detectors. In addition to experimenting with a synthetic dataset to systematically analyze the algorithm's performance, we apply our method in human-led imitation learning environment where a robot learns reusable components of the task from short demonstrations to correctly imitate more complicated, longer demonstrations of the same task category. The results suggest that under reasonable amount of noise, our method is capable to capture the reusable structures of tasks and generalize to cope with recursions.
AU  - Lee,K
AU  - Kim,TK
AU  - Demiris,Y
DO  - 10.1109/ICRA.2012.6224667
EP  - 1999
PB  - IEEE
PY  - 2012///
SP  - 1994
TI  - Learning Reusable Task Components using Hierarchical Activity Grammars with Uncertainties
UR  - http://dx.doi.org/10.1109/ICRA.2012.6224667
UR  - http://hdl.handle.net/10044/1/19998
ER  -
Download