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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