Title
Intelligent Filtering in Telerobotic System
Abstract
In this paper, intelligent filtering methodology for masterarm translation signal is proposed. Fidelity and stability are contradicting factors in teleoperation. Human hand trembling filtering is one of the problems in telemanipulation field. During every operation the hand has a certain vibration that can affect the quality of teleoperation, especially in telesurgery, nanomanipuation and other precise tasks. It is very important to study the kinesthetic perception of the human and to optimize the teleoperation system accordingly. To cancel out the influence of human's hand vibration the signal from the masterarm should be filtered. One of the feasible solutions is to use an intelligent filter, which is a very flexible instrument. Applying intelligent filtering methodology, we can use some heuristic methods to solve the filtering problem.
Year
DOI
Venue
2007
10.1007/978-3-540-74282-1_35
ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS: WITH ASPECTS OF CONTEMPORARY INTELLIGENT COMPUTING TECHNIQUES
Keywords
Field
DocType
telerobot,intelligent filtering,heuristic method
Teleoperation,Kinesthetic learning,Computer vision,Heuristic,Fidelity,Computer science,Filter (signal processing),Filtering problem,Artificial intelligence,Perception,Telerobotics,Machine learning
Conference
Volume
ISSN
Citations 
2
1865-0929
0
PageRank 
References 
Authors
0.34
3
7
Name
Order
Citations
PageRank
Igor Gaponov1156.69
Hyun Cho200.34
Jongwon Kim31042153.38
Khalis Totorkulov400.34
Seong Choi500.34
Jee-Hwan Ryu661766.11
Tai-Hoon Cho7347.99