Scuola superiore sant'anna
Allievo Perfezionando
Michael Tannous
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Michael Tannous received his BSc degree and MSc degree respectively in IT Engineering and Automation & Robotics Engineering from the University of Pisa, Italy. He collaborated in many accademic and Euopean projects (e.g. EUROC Challenge, WEARHAP) at the University of Pisa, Laboratory Tecnologie Microelettroniche e Microsistemi and Research Center E.Piaggio. In the 2017, he started working on collaborative robotics at Scuola Superiore Sant'Anna as a research assistant in a joint lab with Baker-Hughes, General Electric, In the 2018, he became a PhD student in BioRobotics.
Contributo su Rivista
- Romano, Donato; Bloemberg, Jette; Tannous, Michael; Stefanini, Cesare
Impact of Aging and Cognitive Mechanisms on High-Speed Motor Activation Patterns: Evidence From an Orthoptera-Robot Interaction
1-1 IEEE TRANSACTIONS ON MEDICAL ROBOTICS AND BIONICS (2020)
Issue nr. : 1 - Tannous, M.; Miraglia, M.; Inglese, F.; Giorgini, L.; Ricciardi, F.; Pelliccia, R.; Milazzo, M.; Stefanini, C.
Haptic-based touch detection for collaborative robots in welding applications
8 ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2020)
Volume nr. : 64
Issue nr. : 1 - Tannous, M.; Bologna, F.; Stefanini, C.
Load cell torques and force data collection during tele-operated robotic gas tungsten arc welding in presence of collisions
8 DATA IN BRIEF (2020)
Volume nr. : 31
Issue nr. : 1
The main reserach topic is related to Human-machine and machine-machine interactions in the industrial field.
Involved in the following research projects:
GALILEO and INTELLIGENT Welding projects
- 2018 BHGE Annual Meeting - Baker-Hughes General Electric. Demo of the Remote Welding system, 29-30 January | Florence, Italy
https://www.bhge.com/2018-bhge-annual-meeting
Romano, Donato, et al. "Impact of aging and cognitive mechanisms on high-speed motor activation patterns: evidence from an orthoptera-robot interaction." IEEE Transactions on Medical Robotics and Bionics (2020).
Tannous, Michael, et al. "Haptic-based touch detection for collaborative robots in welding applications." Robotics and Computer-Integrated Manufacturing 64 (2020): 101952.