Next Article in Journal
Robust Bio-Signal Based Control of an Intelligent Wheelchair
Previous Article in Journal / Special Issue
Hormone-Inspired Behaviour Switching for the Control of Collective Robotic Organisms
Open AccessEditorial

Special Issue on Intelligent Robots

Department of Electrical and Electronic Systems Engineering, Faculty of Engineering, University of Toyama, Gofuku Campus, 3190 Gofuku, Toyama, 930-8555, Japan
Robotics 2013, 2(3), 185-186; https://doi.org/10.3390/robotics2030185
Received: 1 August 2013 / Accepted: 2 August 2013 / Published: 6 August 2013
(This article belongs to the Special Issue Intelligent Robots)
The research on intelligent robots will produce robots that are able to operate in everyday life environments, to adapt their program according to environment changes, and to cooperate with other team members and humans. Operating in human environments, robots need to process, in real time, a large amount of sensory data—such as vision, laser, microphone—in order to determine the best action. Intelligent algorithms have been successfully applied to link complex sensory data to robot action. This editorial briefly summarizes recent findings in the field of intelligent robots as described in the articles published in this special issue. View Full-Text
Keywords: adaptive robots; reinforcement learning; evolution; multiple agents adaptive robots; reinforcement learning; evolution; multiple agents
MDPI and ACS Style

Capi, G. Special Issue on Intelligent Robots. Robotics 2013, 2, 185-186. https://doi.org/10.3390/robotics2030185

AMA Style

Capi G. Special Issue on Intelligent Robots. Robotics. 2013; 2(3):185-186. https://doi.org/10.3390/robotics2030185

Chicago/Turabian Style

Capi, Genci. 2013. "Special Issue on Intelligent Robots" Robotics 2, no. 3: 185-186. https://doi.org/10.3390/robotics2030185

Find Other Styles

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Search more from Scilit
 
Search
Back to TopTop