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Our Story

Consulting: Service

Consulting in innovative solutions to design working prototype or engineering the final product .

Co-Robotics was founded in 2016 by Manuele Bonaccorsi and Filippo Cavallo, then respectively PHD and Assistant Professor at the BioRobotis Institute of the Sant’Anna School of Advanced Studies in Pisa. The mission of Co-Robotics is the exploitation and technology transfer of the research outcomes and the launch on the market of innovative technologies thanks to the expertise achieved in R&D.

Robot Era

Service Robotics

Robot-Era, Implementation and integration of advanced Robotic systems and intelligent Environments in real scenarios for the ageing population, FP7-288899, 2012-2015.

DORO and CORO are two companion robots outcomes of the Robot-Era project able to interact between each other. ASTRO is the development of these innovative platforms.


Publications

Pubblications

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Butt, A.H., Rovini, E., Esposito, D., Rossi, G., Maremmani, C., & Cavallo, F. (2017). Biomechanical parameter assessment for classification of Parkinson’s disease on clinical scale. International Journal of Distributed Sensor Networks, 13(5), 1550147717707417.Butt, A. H., Moschetti, A., Fiorini, L., Dario, P., & Cavallo, F. (2017). Wearable sensors for gesture analysis in smart healthcare applications. Human Monitoring, Smart Health and Assisted Living: Techniques and Technologies, 79.Fiorini, L., Esposito, R., Bonaccorsi, M., Petrazzuolo, C., Saponara, F., Giannantonio, R., … & Cavallo, F. (2017). Enabling personalised medical support for chronic disease management through a hybrid robot-cloud approach. Autonomous Robots, 41(5), 1263-1276.Moschetti, A., Fiorini, L., Esposito, D., Dario, P., & Cavallo, F. (2016). Recognition of daily gestures with wearable inertial rings and bracelets. Sensors, 16(8), 1341.Rovini, E., Esposito, D., Maremmani, C., Bongioanni, P., & Cavallo, F. (2016). Empowering patients in self-management of Parkinson’s disease through cooperative ICT systems. In Optimizing Assistive Technologies for Aging Populations (pp. 251-277). IGI Global.Esposito, D., & Cavallo, F. (2015, May). Preliminary design issues for inertial rings in Ambient Assisted Living applications. In Instrumentation and Measurement Technology Conference (I2MTC), 2015 IEEE International (pp. 250-255). IEEE.Butt, A. H., Rovini, E., Esposito, D., Rossi, G., Maremmani, C., & Cavallo, F. (2017). Biomechanical parameter assessment for classification of Parkinson’s disease on clinical scale. International Journal of Distributed Sensor Networks, 13(5), 1550147717707417.Butt, A. H., Moschetti, A., Fiorini, L., Dario, P., & Cavallo, F. (2017). Wearable sensors for gesture analysis in smart healthcare applications. Human Monitoring, Smart Health and Assisted Living: Techniques and Technologies, 79.Fiorini, L., Esposito, R., Bonaccorsi, M., Petrazzuolo, C., Saponara, F., Giannantonio, R., … & Cavallo, F. (2017). Enabling personalised medical support for chronic disease management through a hybrid robot-cloud approach. Autonomous Robots, 41(5), 1263-1276.Moschetti, A., Fiorini, L., Esposito, D., Dario, P., & Cavallo, F. (2016). Recognition of daily gestures with wearable inertial rings and bracelets. Sensors, 16(8), 1341.Rovini, E., Esposito, D., Maremmani, C., Bongioanni, P., & Cavallo, F. (2016). Empowering patients in self-management of Parkinson’s disease through cooperative ICT systems. In Optimizing Assistive Technologies for Aging Populations (pp. 251-277). IGI Global.Esposito, D., & Cavallo, F. (2015, May). Preliminary design issues for inertial rings in Ambient Assisted Living applications. In Instrumentation and Measurement Technology Conference (I2MTC), 2015 IEEE International (pp. 250-255). IEEE.

Wearable Sensors

Sensors and data processing

DAPHNE, A novel system of wearable sensors able to accurately and objectively measure the motor performance of patients with Parkinson’s disease supporting the diagnosis and analysis of the pathology.

HANDY glove is an innovative system able to measure the motor performance of upper limbs. It is exploiting to support the diagnosis of Parkinson’s disease. HANDY smart ring is its natural development.

Pubblications

Butt, A.H., Rovini, E., Esposito, D., Rossi, G., Maremmani, C., & Cavallo, F. (2017). Biomechanical parameter assessment for classification of Parkinson’s disease on clinical scale. International Journal of Distributed Sensor Networks, 13(5), 1550147717707417.Butt, A. H., Moschetti, A., Fiorini, L., Dario, P., & Cavallo, F. (2017). Wearable sensors for gesture analysis in smart healthcare applications. Human Monitoring, Smart Health and Assisted Living: Techniques and Technologies, 79.Fiorini, L., Esposito, R., Bonaccorsi, M., Petrazzuolo, C., Saponara, F., Giannantonio, R., … & Cavallo, F. (2017). Enabling personalised medical support for chronic disease management through a hybrid robot-cloud approach. Autonomous Robots, 41(5), 1263-1276.Moschetti, A., Fiorini, L., Esposito, D., Dario, P., & Cavallo, F. (2016). Recognition of daily gestures with wearable inertial rings and bracelets. Sensors, 16(8), 1341.Rovini, E., Esposito, D., Maremmani, C., Bongioanni, P., & Cavallo, F. (2016). Empowering patients in self-management of Parkinson’s disease through cooperative ICT systems. In Optimizing Assistive Technologies for Aging Populations (pp. 251-277). IGI Global.Esposito, D., & Cavallo, F. (2015, May). Preliminary design issues for inertial rings in Ambient Assisted Living applications. In Instrumentation and Measurement Technology Conference (I2MTC), 2015 IEEE International (pp. 250-255). IEEE.Butt, A. H., Rovini, E., Esposito, D., Rossi, G., Maremmani, C., & Cavallo, F. (2017). Biomechanical parameter assessment for classification of Parkinson’s disease on clinical scale. International Journal of Distributed Sensor Networks, 13(5), 1550147717707417.Butt, A. H., Moschetti, A., Fiorini, L., Dario, P., & Cavallo, F. (2017). Wearable sensors for gesture analysis in smart healthcare applications. Human Monitoring, Smart Health and Assisted Living: Techniques and Technologies, 79.Fiorini, L., Esposito, R., Bonaccorsi, M., Petrazzuolo, C., Saponara, F., Giannantonio, R., … & Cavallo, F. (2017). Enabling personalised medical support for chronic disease management through a hybrid robot-cloud approach. Autonomous Robots, 41(5), 1263-1276.Moschetti, A., Fiorini, L., Esposito, D., Dario, P., & Cavallo, F. (2016). Recognition of daily gestures with wearable inertial rings and bracelets. Sensors, 16(8), 1341.Rovini, E., Esposito, D., Maremmani, C., Bongioanni, P., & Cavallo, F. (2016). Empowering patients in self-management of Parkinson’s disease through cooperative ICT systems. In Optimizing Assistive Technologies for Aging Populations (pp. 251-277). IGI Global.Esposito, D., & Cavallo, F. (2015, May). Preliminary design issues for inertial rings in Ambient Assisted Living applications. In Instrumentation and Measurement Technology Conference (I2MTC), 2015 IEEE International (pp. 250-255). IEEE.

Publications

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