Title
Robot Kinematic Structure Classification From Time Series Of Visual Data
Abstract
In this paper we present a novel algorithm to solve the robot kinematic structure identification problem. Given a time series of data, typically obtained processing a set of visual observations, the proposed approach identifies the ordered sequence of links associated to the kinematic chain, the joint type interconnecting each couple of consecutive links, and the input signal influencing the relative motion. Compared to the state of the art, the proposed algorithm has reduced computational costs, and is able to identify also the joints' type sequence.
Year
DOI
Venue
2019
10.23919/ECC.2019.8795900
2019 18TH EUROPEAN CONTROL CONFERENCE (ECC)
Field
DocType
Volume
Kinematics,Relative motion,Algorithm,Control engineering,Engineering,Robot,Parameter identification problem,Kinematic chain
Journal
abs/1903.04410
ISSN
Citations 
PageRank 
ECC 2019
0
0.34
References 
Authors
9
5
Name
Order
Citations
PageRank
Alberto Dalla Libera132.79
Matteo Terzi200.68
Alessandro Rossi301.69
Gian Antonio Susto410622.76
Ruggero Carli589469.17