Imperial College London

Professor Yiannis Demiris

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Professor of Human-Centred Robotics, Head of ISN
 
 
 
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Contact

 

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

 
 
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Location

 

1014Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Gao:2016,
author = {Gao, Y and Chang, HJ and Demiris, Y},
title = {Personalised assistive dressing by humanoid robots using multi-modal information},
url = {http://hdl.handle.net/10044/1/33436},
year = {2016}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - In this paper, we present an approach to enable a humanoid robot to provide personalised dressing assistance for human users using multi-modal information. A depth sensor is mounted on top of the robot to provide visual information, and the robot end effectors are equipped with force sensors to provide haptic information. We use visual information to model the movement range of human upper-body parts. The robot plans the dressing motions using the movement rangemodels and real-time human pose. During assistive dressing, the force sensors are used to detect external force resistances. We present how the robot locally adjusts its motions based on the detected forces. In the experiments we show that the robot can assist human to wear a sleeveless jacket while reacting tothe force resistances.
AU - Gao,Y
AU - Chang,HJ
AU - Demiris,Y
PY - 2016///
TI - Personalised assistive dressing by humanoid robots using multi-modal information
UR - http://hdl.handle.net/10044/1/33436
ER -