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Mar, 2023
握力的时空建模捕捉了机器人手动控制的熟练程度
Spatiotemporal modeling of grip forces captures proficiency in manual robot control
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Rongrong Liu, John M. Wandeto, Florent Nageotte, Philippe Zanne, Michel de Mathelin...
TL;DR
本文利用人工智能技术预测手动机器人控制中握力变异性。通过佩戴式无线传感器技术记录了来自个体支配和非支配手的握力,使用神经网络模型能够可靠地捕捉软件设计和硬件变化对握力的影响,该成果可在新型手术中作出贡献。
Abstract
This paper builds on our previous work by exploiting
artificial intelligence
to predict individual
grip force variability
in manual robot control. Grip forces were recorded from various loci in the dominant and n
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