Add to ORKGThis article addresses the issues of colour classification and collision detection as they occur in the legged league robot soccer environment of RoboCup. We show how the method of one-class classification with support vector machines (SVMs) can be applied to solve these tasks satisfactorily using the limited hardware capacity of the prescribed Sony AIBO quadruped robots. The experimental evaluation shows an improvement over our previous methods of ellipse fitting for colour classification and the statistical approach used for collision detection.
The Technology Transfer project employs a spiral development process to enhance the functionality an...
Humans process images with apparent ease, quickly filtering out useless information and identifying ...
Robot learning is a growing area of research at the intersection of robotics and machine learning. T...
This article addresses the issues of colour classification and collision detection as they occur in ...
This article addresses the issues of colour classification and collision detection as they occur in ...
The restricted setting and uniformly prescribed hardware of the Sony Legged League of RoboCup provid...
Summarization: RoboCup is an annual international robotic soccer competition. One of its most popula...
As robots autonomously compete to win soccer RoboCup competition annually, more challenging rules ar...
The visual detection of robots is a difficult but relevant problem in several robotic applications. ...
A need for autonomous electro-mechanical machines performing tasks that can save human efforts and e...
This paper presents a novel scheme for fast color invariant ball detection in the RoboCup context. E...
Abstract — This paper addresses the problem of colour recognition in real time computer vision syste...
This paper proposes a fast colour-based object recognition and localization for soccer robots. The t...
With the introduction of commercially available programmable legged robots, a generic software metho...
A development of a two-camera soccer robot system (SRS) for the FIRAMiroSot large league is presente...
The Technology Transfer project employs a spiral development process to enhance the functionality an...
Humans process images with apparent ease, quickly filtering out useless information and identifying ...
Robot learning is a growing area of research at the intersection of robotics and machine learning. T...
This article addresses the issues of colour classification and collision detection as they occur in ...
This article addresses the issues of colour classification and collision detection as they occur in ...
The restricted setting and uniformly prescribed hardware of the Sony Legged League of RoboCup provid...
Summarization: RoboCup is an annual international robotic soccer competition. One of its most popula...
As robots autonomously compete to win soccer RoboCup competition annually, more challenging rules ar...
The visual detection of robots is a difficult but relevant problem in several robotic applications. ...
A need for autonomous electro-mechanical machines performing tasks that can save human efforts and e...
This paper presents a novel scheme for fast color invariant ball detection in the RoboCup context. E...
Abstract — This paper addresses the problem of colour recognition in real time computer vision syste...
This paper proposes a fast colour-based object recognition and localization for soccer robots. The t...
With the introduction of commercially available programmable legged robots, a generic software metho...
A development of a two-camera soccer robot system (SRS) for the FIRAMiroSot large league is presente...
The Technology Transfer project employs a spiral development process to enhance the functionality an...
Humans process images with apparent ease, quickly filtering out useless information and identifying ...
Robot learning is a growing area of research at the intersection of robotics and machine learning. T...