Vasco Fanti — accepted AI-conference papers

2022

Active and Passive Back-Support Exoskeletons: A Comparison in Static and Dynamic Tasks

Tommaso Poliero, Vasco Fanti, Matteo Sposito, Darwin G. Caldwell, Christian Di Natali

RA-L 2022

Studies on back-support exoskeletons focus mostly on the evaluation of single devices. Also, these studies suggest that passive exoskeletons might be preferred when performing static tasks, whereas active ones, could show their advantage in dynamic tasks. To verify this hypothesis and provide a comp

Cited by 42 Source ↗Scholar ↗

2022

Improving the Efficacy of an Active Back-Support Exoskeleton for Manual Material Handling Using the Accelerometer Signal

Maria Lazzaroni, Vasco Fanti, Matteo Sposito, Giorgia Chini, Francesco Draicchio, Christian Di Natali +2

RA-L 2022

Occupational back-support exoskeletons see their potential application in many industrial sectors to mitigate low back pain risk for workers performing demanding tasks. This work aims to design and evaluate a control strategy that improves the efficacy of an active exoskeleton by exploiting the raw

Cited by 27 Source ↗Scholar ↗