Development of an intelligent robotic system for the automation of a meat-processing task. (6th July 2005)

• Record Type: Journal Article
• Authors: Hurd, S.A.; Carnegie, D.A.; Brown, N.R.; Gaynor, P.T.
• Is Part Of: International journal of intelligent systems technologies and applications. Volume 1:Number 1/2(2005)
• Page Start: 32
• Page End: 48
• Publication Date: 2005-07-06
• Subjects: fault detection -- path optimisation -- neural networks -- learning vector quantisation -- meat processing robot -- line search algorithm -- biomechatronics -- biorobotics -- aseptic conditions -- reliability -- repeatability -- quality -- butcher -- adaptive learning -- robot learning -- seasonal carcass variations -- robot path planning -- sheep meat; Artificial intelligence -- Periodicals; Intelligent control systems -- Periodicals; 006.3
• Languages: English
• ISSNs: 1740-8865

Abstract

A robotic system and specifically designed end-effector tool has been developed for the automation of a meat processing task. This tool replicates the operation of a human butcher, while providing improved aseptic conditions and an increase in the reliability, repeatability and quality of the process. The robotic system incorporates a neural network-based fault detection scheme, which uses a learning vector quantisation network to classify axial load signals. A proposed online adaptive learning algorithm will provide continuous optimisation of the robot cut-path, leading to the automation of the path tuning process. This will allow the system to respond to seasonal carcass variations automatically and maintain a consistently high level of performance.