A robot endeffector tracking system based on feedforward neural networks-Reference-Cited by-同舟云学术

A robot endeffector tracking system based on feedforward neural networks

Published:1999-07 Issue:1 Volume:28 Page:43-52
ISSN:0921-8890
Container-title:Robotics and Autonomous Systems
language:en
Short-container-title:Robotics and Autonomous Systems

Author:

Baek Seonghyun,Park Dong-Sun,Cho Jaiwan,Lee Yong-Bum

Publisher

Elsevier BV

Subject

Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference13 articles.

1. A neural net target-tracking system using structured laser patterns;Choi;SPIE,1996

2. An adaptive approach to video tracking;Mcvey;IEEE Journal of Robotics and Automation,1988

3. Fundamentals of Artificial Neural Networks;Hassoun,1995

4. Identification of maneuvering aircraft using class dependent kinematic models;Cutaia;Electronic Signals and Systems Research Laboratory Monograph ESSRL-95-13,1995

5. A simple real-time mobile robot tracking system;Lund,1996

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