Publications and Awards
Rehab Technologies Lab is an award-winning research line of IIT and our teams actively support the scientific community with many publications, dissemination talks and other accomplishments.
Publications
2024
Hjorth S., Mobedi E., Ajoudani A.
A Power-Based Load Decoupling Method for Wearable Assistive Systems
IEEE EMB's 10th International Conference on Biomedical Robotics and Biomechatronics
Conference Paper
Conference
2024
Hjorth S., Lachner J., Ajoudani A., Chrysostomou D.
Enabling passivity for Cartesian workspace restrictions
IEEE International Conference on Robotics and Automation (ICRA)
Conference Paper
Conference
2023
Mobedi E., Hjorth S., Kim W., De Momi E., Tsagarakis N.G., Ajoudani A.
A Power-Aware Control Strategy for an Elbow Effort-Compensation Device
IEEE Robotics and Automation Letters, vol. 8, (no. 7), pp. 4330-4337
2023
Mobedi E., Hjorth S., Kim W., De Momi E., Tsagarakis N., Ajoudani A.
A Power-Aware Control Strategy for an Elbow Effort-Compensation Device
IEEE Robotics and Automation Letters
Article in Press
Journal
2023
Hjorth S., Lamon E., Chrysostomou D., Ajoudani A.
Design of an Energy-Aware Cartesian Impedance Controller for Collaborative Disassembly
Proceedings - IEEE International Conference on Robotics and Automation, vol. 2023-May, pp. 7483-7489
2022
Hjorth S., Chrysostomou D.
Human–robot collaboration in industrial environments: A literature review on non-destructive disassembly
Robotics and Computer-Integrated Manufacturing, vol. 73
2022
Ribeiro da Silva E., Schou C., Hjorth S., Tryggvason F., Sorensen M.S.
Plug & Produce robot assistants as shared resources: A simulation approach
Journal of Manufacturing Systems, vol. 63, pp. 107-117
2020
Hjorth S., Lachner J., Stramigioli S., Madsen O., Chrysostomou D.
An energy-based approach for the integration of collaborative redundant robots in restricted work environments
IEEE International Conference on Intelligent Robots and Systems, pp. 7152-7158
Awards
2024
Macaluso A., Bottino A., Pratticò F.G., Lamberti F., Galletti C., Storchi C., Podda J., Tacchino A., Brichetto G., Boccardo N., et al.
Best Session Presentation - Executive Control in a Mixed Reality Exergame for Motor-Cognitive Rehabilitation in Multiple Sclerosis
2022
Maludrottu S., Laffranchi M., Vassallo C., Vaccaro R., De Michieli L.
iF DESIGN AWARD 2022 - Twin Exoskeleton
2021
Laffranchi M., Traverso S., Vaccaro R., Maludrottu S., Poli F., De Bartolomeis L., Diamanti G., Gruppioni E., De Michieli L.
Good Design
2020
Laffranchi M.
Robotics 2020 Young Investigator Award
2020
Laffranchi M., Boccardo N., Traverso S., Lombardi L., Canepa M., Lince A., Semprini M., Saglia J.A., Naceri A., Sacchetti R., et al.
XXVI Compasso d'oro
2019
Colombi I.
PhD thesis award in Neuroengineering "MASSIMO GRATTAROLA" (17^ Ed.)
2018
Laffranchi M., Boccardo N., Traverso S., Lince A., Canepa M., Saglia J., Gruppioni E., Sacchetti R., Diamanti G., Poli F., et al.
ADI Design Index
2018
Laffranchi M., Boccardo N., Traverso S., Lombardi L., Canepa M., Lince A., Semprini M., Saglia J.A., Naceri A., Sacchetti R., et al.
ADI Design Index
2018
Laffranchi M., Boccardo N., Traverso S., Lombardi L., Canepa M., Lince A., Semprini M., Saglia J.A., Naceri A., Sacchetti R., et al.
Good Design
2018
Semprini M.
selected as "reviewer of the year" for Journal of Neural Engineering