Francesco Draicchio — accepted AI-conference papers

2023

A Control Approach for Human-Robot Ergonomic Payload Lifting

Lorenzo Rapetti, Carlotta Sartore, Mohamed Elobaid, Yeshasvi Tirupachuri, Francesco Draicchio, Tomohiro Kawakami +2

ICRA 2023poster

Collaborative robots can relief human operators from excessive efforts during payload lifting activities. Modelling the human partner allows the design of safe and efficient collaborative strategies. In this paper, we present a control approach for human-robot collaboration based on human monitoring…

Cited by 10 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 ↗

2022

Patient-tailored Adaptive Control for Robot-aided Orthopaedic Rehabilitation

Christian Tamantini, Francesca Cordella, Clemente Lauretti, Francesco Scotto di Luzio, Marco Bravi, Federica Bressi +3

ICRA 2022poster

Robot-aided rehabilitation is pushing forward novel robotic architectures to provide physical therapy. This paper presents a patient-tailored control architecture for upper-limb robot-aided orthopaedic rehabilitation capable of i) adapting the robot workspace on the basis of patient Range of Motion…

Cited by 17 Source ↗Scholar ↗