| KEYWORD |
Wearable and nearable sensing technologies for human-robot collaboration in human-centric inclusive manufacturing
Thesis abroad
keywords INCLUSIVE MANUFACTURING, SENSOR FUSION, SUSTAINABILITY
Reference persons PAOLO CLAUDIO PRIARONE, ALESSANDRO SIMEONE
Thesis type RESEARCH / EXPERIMENTAL
Description This thesis will explore the development and application of wearable and nearable sensing technologies for enhancing human-robot collaboration within the domain of inclusive manufacturing, with particular focus on neurodiverse operators. A data acquisition campaign will be carried out using diverse sensing units providing real-time data on worker movements, physiological states, and environmental conditions. The aim is to characterise adaptive and context-aware collaboration between humans and robots, improving the overall sustainability. The research activities will be carried out in collaboration with Loughborough University, UK.
Deadline 31/03/2024
PROPONI LA TUA CANDIDATURA