By Topic

A new robotic platform for human robot interaction

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Genci Capi ; Department of Electrical and Electronic Systems Eng., Faculty of Engineering, University of Toyama, Gofuku Campus, 3190, 930-8555, Japan

In this paper, we present a new robotic platform for human robot interaction. The robot sends information to the operator and receives high level commands. In addition, the robot utilizes the visual information to navigate in rescue and unknown environments. In our method, we convert the captured image in a binary one, which after the partition is used as the input of the neural controller. The neural control system, which maps the visual information to motor commands, is evolved online using real robots. We show that evolved neural networks performed well in unknown and unstructured environments. Furthermore, we compare the performance of neural controllers with an algorithmic vision based method.

Published in:

Assembly and Manufacturing, 2009. ISAM 2009. IEEE International Symposium on

Date of Conference:

17-20 Nov. 2009