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Hybrid position/force control of an upper-limb exoskeleton for assisted drilling

  • Markus Hessinger*
  • , Markus Pingsmann
  • , Joel C. Perry
  • , Roland Werthschutzky
  • , Mario Kupnik
  • *Autor correspondiente de este trabajo
  • Technische Universität
  • University of Idaho

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

15 Citas (Scopus)

Resumen

Exoskeletons are wearable robotic systems to assist the human body concerning power and accuracy. In this work, an upper limb exoskeleton with seven degrees of freedom provides haptic guidance to the user enhancing accuracy of the target position and constant thrust force during drilling tasks. Therefore, an inverse kinematics algorithm is introduced using selective damping, depending on joint velocities to minimize the end effector position error for redundant systems. Additionally, the method recognizes user intention with structurally integrated torque sensors for null space optimization. An implicit, hybrid force-position controller is implemented to perform position controlled drilling tasks with constant thrust force. The performance evaluation with the exoskeleton shows a maximum position error of 1.27 mm and steady-state thrust force response with a maximum overshoot of 1N.

Idioma originalInglés
Título de la publicación alojadaIROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1824-1829
Número de páginas6
ISBN (versión digital)9781538626825
DOI
EstadoPublicada - 13 dic 2017
Publicado de forma externa
Evento2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017 - Vancouver, Canadá
Duración: 24 sept 201728 sept 2017

Serie de la publicación

NombreIEEE International Conference on Intelligent Robots and Systems
Volumen2017-September
ISSN (versión impresa)2153-0858
ISSN (versión digital)2153-0866

Conferencia

Conferencia2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017
País/TerritorioCanadá
CiudadVancouver
Período24/09/1728/09/17

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