Robots that care, with increased cognitive abilities. Robots able to perceive their environment, understand it, respond and behave appropriately and navigate autonomously. Robots that can assist patients and support the work of nurses and doctors in hospitals. This is what Konica Minolta Laboratory Europe aims to do within the course of a partnership with the Istituto Italiano di Tecnologia (IIT), and the hospital Casa Sollievo della Sofferenza, in San Giovanni Rotondo (Foggia).
Despite their complexity, Deep Convolutional Neural Networks (CNN) are nowadays state of the art in pattern recognition and achieve results comparable to human classifying images. As described in one of our recent publication, we can get a better knowledge about CNN to improve the learning procedure and detect corruptions in data sets.
How can a commercially-available tracking system that was originally used for gaming, be applied to recognise and monitor the performance of exercises used in rehabilitation? This question is at the basis of a project of the BioRobotics Institute of Sant’Anna School of Pisa, Italy, that has been carried out in the London Exploration Lab of Konica Minolta Laboratory Europe.
One year ago our new Konica Minolta Laboratory Europe website appeared on line for the first time. Let me share with you some data looking back over this first foundation year: 43 Pages and 38 blog posts covering our categories of News, Healthcare technologies, AI for business, Digital Workplaces, Computer Vision and Robotics. Almost 11,000 users with more than 37,000 page views.
Monday 12th February 2018. Konica Minolta opened a new research facility in Rome, Italy - confirming its transformation into a platform-led, IoT business and demonstrating to continue investing in innovation.