RAISE (Robots as an Intelligent Services Ecosystem)
Name of demonstration
RAISE (Robots as an Intelligent Services Ecosystem)
Main objective
The objective of the RAISE™ project was to turn the manufacturing servitization trend to the benefit of robotic manufacturers developing a Robots-as-a-Service (RaaS) platform demonstrating the possibility for 3rd party providers to offer value-adding services (e.g. prognostic maintenance, production intelligence, insurance, and payment services ..) to Industrial Robots manufacturers by means of new open interoperability standards (e.g. the Robotics open standard by OPC UA).
Short description
The demonstrator was based on the Equipment as a Service (EaaS) platform of prime proposer MYWAI SRL custom enhanced for a world-leading Robots Manufacturer, Mitsubishi Electric™, with the engagement of Italian and Lithuanian Insurtech and Neurocomputing start-ups YOLO SRL and Neurotechnologijos UAB.
Owner of the demonstrator
MYWAI SRL
Responsible person
CEO MYWAI Fabrizio Cardinali, f.cardinali@myw.ai
NACE
C28.4.9 - Manufacture of other machine tools
Keywords
Robotics, Machine Learning, IoT - Cybersecurity - Artificial Intelligence - Predictive Maintenance – Revamping, iot, artificial neural networks.
Benefits for the users
The RAISE™ Project enables robotic machine tool vendors to manage their Robotic fleet as an Intelligent Services EcoSystem using AI, IIoT and DLTs at the very edge of Industrial Robots working in Real World today and in the Productive Metaverse tomorrow.To date the RAISE™ project has piloted delivering advanced Servicetech (e.g. prescriptive and prognostic maintenance), Insurtech (e.g. parametric insurances and warranty extension) and Fintech (e.g. pay per use, pay per outcome) services to Robotic Workforces using the standard OPC UA™ Robotics Information Model to interface Robots and their digital twins to the MYWAI™ EaaS (Equipment as a Service) Platform.
Innovation
The RAISE platform supports the delivery of Artificial Intelligence based Prognostic Maintainance and Production Quality Control at the very edge of Industry 4.0 machiner via Time Series Smart Data Labelling, MLOPS AI Pipeline Build UP followed by Edge, Fog or Cloud Delivery of developed algorythms also supporting chip based delivery of neural networks
Risks and limitations
The RAISE demonstrator helps robotic machine tool vendors to move towards a producta as a service model in order to cope with the slow down and rocky performance during pandemi and war period
Technology readiness level
7 - System model in operational environment
Sectors of application
Robotics .
Potential sectors of application
Maintenance, Quality Control
Patents / Licenses / Copyrights
Hardware / Software
Hardware:
The Demonstrator was based on a proprietary edge computer and IMU sensors by MYWAI
Software:
d on the mYWAI Equipment as a Service platform provided by MYWAI
Photos
Trainings
To learn more about the solution, click on the link below to access the training on the Moodle platform
Robots as an intelligent services ecosystem