Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/77959
Título: Lognormality of Velocity Profiles in Rapid Robotic Arm Movements
Autores/as: Diaz Cabrera, Moises 
Quintana Hernández, José Juan 
Ferrer Ballester, Miguel Ángel 
Carmona Duarte, María Cristina 
Wolniakowski, Adam
Miatliuk, Konstantsin
Clasificación UNESCO: 1203 Ciencia de los ordenadores
Fecha de publicación: 2019
Conferencia: 19th International Graphonomics Society Conference (IGS 2019). Graphonomics and Your Brain on Art, Creativity and Innovation 
Resumen: 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.
URI: http://hdl.handle.net/10553/77959
Fuente: 19th International Graphonomics Society Conference (IGS 2019)
Colección:Actas de congresos
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