Please use this identifier to cite or link to this item:
Title: Lognormality of Velocity Profiles in Rapid Robotic Arm Movements
Authors: Diaz Cabrera, Moises 
Quintana Hernández, José Juan 
Ferrer Ballester, Miguel Ángel 
Carmona Duarte, María Cristina 
Wolniakowski, Adam
Miatliuk, Konstantsin
UNESCO Clasification: 1203 Ciencia de los ordenadores
Issue Date: 2019
Conference: 19th International Graphonomics Society Conference (IGS 2019). Graphonomics and Your Brain on Art, Creativity and Innovation 
Abstract: Robotic arms commonly execute movements at a constant speed, but a sequence of short and rapid movements require the robotic arm to speed up and slow down continuously. This paper is aimed to assess if these movements can be approximated by the Sigma-Lognormal model. The parameters of the Sigma-Lognormal model have been calculated with two different methods: ScriptStudio and iDelog. In both cases, the SNR is greater than 15 dB assessing the lognormality of the rapid robotic movements. This is highlighted by the fact that the solutions reached by each method are statistically different.
Source: 19th International Graphonomics Society Conference (IGS 2019)
Appears in Collections:Actas de congresos
Show full item record

Google ScholarTM



Export metadata

Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.