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Robust Action Selection by the Robot in Human-Robot Interaction (HRI) Environment

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Kamran Ashraf, Muhammad Asif
10.5120/ijca2016912359

Kamran Ashraf and Muhammad Asif. Robust Action Selection by the Robot in Human-Robot Interaction (HRI) Environment. International Journal of Computer Applications 155(7):40-43, December 2016. BibTeX

@article{10.5120/ijca2016912359,
	author = {Kamran Ashraf and Muhammad Asif},
	title = {Robust Action Selection by the Robot in Human-Robot Interaction (HRI) Environment},
	journal = {International Journal of Computer Applications},
	issue_date = {December 2016},
	volume = {155},
	number = {7},
	month = {Dec},
	year = {2016},
	issn = {0975-8887},
	pages = {40-43},
	numpages = {4},
	url = {http://www.ijcaonline.org/archives/volume155/number7/26620-2016912359},
	doi = {10.5120/ijca2016912359},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

With the evolution in the auspicious field of Human Robot Interaction it is crucial to work for the Robust Action Selection on a robot’s end especially when the human exhibits an unknown behaviour. A particular human action may lead to more than one human behaviour(s) and when it comes to a robot as an assistant or a co-worker it is of vital concern to have some efficient method to select a suitable action performed by the robot in response. After exploring multiple techniques a novel method is suggested using RL based approach to cater the need of robust action selection with addition of domain knowledge. Experimentation is performed using hardware equipment including 4DOF Robotic Arm equipped with the Arduino Kit and 480x640 Camera. Very promising results have been found and future direction is discovered.

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Keywords

Robotics, Human Robot Interaction, Service Robots, Reinforcement Learning