scholarly journals Soft pneumatic elbow exoskeleton reduces the muscle activity, metabolic cost and fatigue during holding and carrying of loads

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
John Nassour ◽  
Guoping Zhao ◽  
Martin Grimmer

AbstractTo minimize fatigue, sustain workloads, and reduce the risk of injuries, the exoskeleton Carry was developed. Carry combines a soft human–machine interface and soft pneumatic actuation to assist the elbow in load holding and carrying. We hypothesize that the assistance of Carry would decrease, muscle activity, net metabolic rate, and fatigue. With Carry providing 7.2 Nm of assistance, we found reductions of up to 50% for the muscle activity, up to 61% for the net metabolic rate, and up to 99% for fatigue in a group study of 12 individuals. Analyses of operation dynamics and autonomous use demonstrate the applicability of Carry to a variety of use cases, presumably with increased benefits for increased assistance torque. The significant benefits of Carry indicate this device could prevent systemic, aerobic, and/or possibly local muscle fatigue that may increase the risk of joint degeneration and pain due to lifting, holding, or carrying.

2016 ◽  
Vol 106 (05) ◽  
pp. 308-313
Author(s):  
F. Kretschmer ◽  
A. Borisov ◽  
R. Pöschko ◽  
M. Chemnitz ◽  
A. Vick

Beschrieben werden die aktuellen Ergebnisse und geplanten Arbeiten des Forschungsprojekts „pICASSO“, dessen Schwerpunkt in der Verlagerung von Steuerungstechnik in die Cloud liegt. Fokussiert wird die Umsetzung der drei Anwendungsfälle: teilautomatisierter Handarbeitsplatz, cloudbasierte Robotersteuerung sowie Cloud-Benutzerschnittstelle. Des Weiteren werden die notwendigen Anforderungen und Lösungen an die Sicherheit in der Kommunikation und Datenübertragung sowie einer geeigneten Ausführungsplattform erläutert.   This article describes the current results and future work of the research project pICASSO, whose key aspect is the relocation of control engineering into the cloud. It focuses on the realization of the three use cases: partly automated hand-work place, cloud-based robot control and cloud human-machine-interface. Furthermore the necessary requirements and solutions for security in communication and data transfer as well as a suitable execution environment are described.


1990 ◽  
Author(s):  
B. Bly ◽  
P. J. Price ◽  
S. Park ◽  
S. Tepper ◽  
E. Jackson ◽  
...  

Author(s):  
Soon Young Kwon ◽  
Chung Yill Park ◽  
Jung Wan Koo ◽  
Hyeon Woo Yim ◽  
Kang Sook Lee

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 687
Author(s):  
Jinzhen Dou ◽  
Shanguang Chen ◽  
Zhi Tang ◽  
Chang Xu ◽  
Chengqi Xue

With the development and promotion of driverless technology, researchers are focusing on designing varied types of external interfaces to induce trust in road users towards this new technology. In this paper, we investigated the effectiveness of a multimodal external human–machine interface (eHMI) for driverless vehicles in virtual environment, focusing on a two-way road scenario. Three phases of identifying, decelerating, and parking were taken into account in the driverless vehicles to pedestrian interaction process. Twelve eHMIs are proposed, which consist of three visual features (smile, arrow and none), three audible features (human voice, warning sound and none) and two physical features (yielding and not yielding). We conducted a study to gain a more efficient and safer eHMI for driverless vehicles when they interact with pedestrians. Based on study outcomes, in the case of yielding, the interaction efficiency and pedestrian safety in multimodal eHMI design was satisfactory compared to the single-modal system. The visual modality in the eHMI of driverless vehicles has the greatest impact on pedestrian safety. In addition, the “arrow” was more intuitive to identify than the “smile” in terms of visual modality.


Author(s):  
Saverio Trotta ◽  
Dave Weber ◽  
Reinhard W. Jungmaier ◽  
Ashutosh Baheti ◽  
Jaime Lien ◽  
...  

Procedia CIRP ◽  
2021 ◽  
Vol 100 ◽  
pp. 488-493
Author(s):  
Florian Beuss ◽  
Frederik Schmatz ◽  
Marten Stepputat ◽  
Fabian Nokodian ◽  
Wilko Fluegge ◽  
...  

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