Industry 4.0 envisions the integration of flexible and quickly reconfigurable robotic systems in assembly lines. This has led to the development of light-weight and adaptive collaborative robots with limited power and payload constraints. Hence, repetitive tasks or those that demand high forces may exceed such limits, resulting in robot damage and lost productivity. To address this problem, we propose a novel framework to prolong the lifetime of collaborative robots while guaranteeing the desired level of productivity. To address this, we propose a method that minimises a function of robot fatigue, an index able to model the robot motor usage at the joint level. This index features the desired external force, task duration, hardware parameters, and fatigue history. Moreover, future tasks are considered through fatigue thresholds imposed on specific joints, computed according to the robot safety requirements. We proved the effectiveness of the approach by comparing its results in terms ...

Towards a Prolonged Productivity in Industry 4.0: A Framework for Fatigue Minimisation in Robot-Robot Co-Manipulation / Lamon, Edoardo; Peternel, Luka; Ajoudani, Arash. - 2018-:(2018), pp. 684-689. ( 18th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2018 Beijing 06 November-09 November 2018) [10.1109/HUMANOIDS.2018.8625051].

Towards a Prolonged Productivity in Industry 4.0: A Framework for Fatigue Minimisation in Robot-Robot Co-Manipulation

Lamon, Edoardo
Primo
;
2018-01-01

Abstract

Industry 4.0 envisions the integration of flexible and quickly reconfigurable robotic systems in assembly lines. This has led to the development of light-weight and adaptive collaborative robots with limited power and payload constraints. Hence, repetitive tasks or those that demand high forces may exceed such limits, resulting in robot damage and lost productivity. To address this problem, we propose a novel framework to prolong the lifetime of collaborative robots while guaranteeing the desired level of productivity. To address this, we propose a method that minimises a function of robot fatigue, an index able to model the robot motor usage at the joint level. This index features the desired external force, task duration, hardware parameters, and fatigue history. Moreover, future tasks are considered through fatigue thresholds imposed on specific joints, computed according to the robot safety requirements. We proved the effectiveness of the approach by comparing its results in terms ...
2018
2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)
Piscataway, NJ
IEEE
9781538672839
Lamon, Edoardo; Peternel, Luka; Ajoudani, Arash
Towards a Prolonged Productivity in Industry 4.0: A Framework for Fatigue Minimisation in Robot-Robot Co-Manipulation / Lamon, Edoardo; Peternel, Luka; Ajoudani, Arash. - 2018-:(2018), pp. 684-689. ( 18th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2018 Beijing 06 November-09 November 2018) [10.1109/HUMANOIDS.2018.8625051].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/390969
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 12
  • ???jsp.display-item.citation.isi??? 2
  • OpenAlex 10
social impact