A Comparison of NUI Interfaces as Control Interfaces for Robotic Arms in EOD Applications

Nicolás O. Medina Chilo, Luis F. Canaza Ccari, Elvis Supo, Yuri Silva Vidal, Erasmo Sulla Espinoza, Lizardo Pari

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

In this research we have studied the performance of two NUI interfaces for the control of a robotic arm for EOD tasks, the Leap Motion contactless sensor and the Novint Falcon haptic device were used to control the Dobot Magician 5 of degrees of freedom robotic arm. Participants used both systems to simulate Pick and Place tasks, with different objects emulating suspicious packages, this being the most common task when using robotic systems for explosive ordnance disposal. The evaluations considered include placement accuracy, percentage of failures and/or collisions, completion time, mental workload and usability. The results obtained show that the Novint Falcon controller presents a lower mental workload, higher usability and a significant improvement in the performance to perform the proposed tasks, achieving a task completion effectiveness of 96% compared to the Leap Motion sensor-based interface with 77.42 % effectiveness.

Idioma originalInglés
Título de la publicación alojada2023 11th International Conference on Control, Mechatronics and Automation, ICCMA 2023
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas221-226
Número de páginas6
ISBN (versión digital)9798350315684
DOI
EstadoPublicada - 2023
Evento11th International Conference on Control, Mechatronics and Automation, ICCMA 2023 - Hybrid, Grimstad, Noruega
Duración: 1 nov. 20233 nov. 2023

Serie de la publicación

Nombre2023 11th International Conference on Control, Mechatronics and Automation, ICCMA 2023

Conferencia

Conferencia11th International Conference on Control, Mechatronics and Automation, ICCMA 2023
País/TerritorioNoruega
CiudadHybrid, Grimstad
Período1/11/233/11/23

Nota bibliográfica

Publisher Copyright:
© 2023 IEEE.

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