Abstract
Sestosenso develops technologies for the next generations of collaborative robots capable of self-adapting to different time-varying operational conditions and capable of safe and smooth adaptation from autonomous to interactive when human intervention is required either for collaboration or training/teaching. The project proposes a new sensing technology from the hardware and up to the cognitive perception and control levels, based on proximity and tactile sensors embedded on the robot body, providing a unified proxy-tactile perception of the environment, required to control the robot actions and interactions, safely and autonomously. Sestosenso is motivated by the industrial need to integrate workers with robots and the need for robots that could operate safely without out-of-the-robot infrastructure, thus reducing robot setup times and costs and increasing the flexibility of the shopfloor configuration. The Sestosenso technology is demonstrated by three Use Cases of industrial interest: cooperative assembly (automotive), handling and packaging (logistics), cooperative harvesting (agriculture).
Project details
Unibo Team Leader: Luca Pietrantoni
Unibo involved Department/s:
Dipartimento di Psicologia "Renzo Canestrari"
Coordinator:
Università degli Studi di GENOVA(Italy)
Other Participants:
ALMA MATER STUDIORUM - Università di Bologna
(Italy)
Rise Research Institutes Of Sweden Ab - Rise
(Sweden)
Centre For Research And Technology Hellas
(Greece)
Universidad De Zaragoza
(Spain)
Inertia Technology B.V.
(Netherlands)
Libera Università di Bolzano
(Italy)
Latvijas Universitates Cietvielu Fizikas Instituts
(Latvia)
Univerza V Ljubljani - University Of Ljubljana
(Slovenia)
Institut Franco-Allemand De Recherches De Saint Louis-Isl
(France)
C.R.F. Societa' Consortile Per Azioni
(Italy)
Total Eu Contribution: Euro (EUR) 4.157.056,25
Project Duration in months: 36
Start Date:
01/10/2022
End Date:
30/09/2025
This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101070310