Sharing ideas for the workplace of the future
KMLE is eager to share innovative projects and ideas with its network of academic and industrial partners to shape together the workplace of the future.
Masaryk University – Brno
Since September 2015, KMLE has been cooperating with the Faculty of Informatics of the Masaryk University in Brno on several research topics
Konica Minolta Laboratory Europe began its cooperation with Faculty of Informatics of Masaryk University of Brno to develop European and national projects, to support PhD theses in the area of Natural Language Processing, Data Intensive Systems and Human Computer Interactions.
In February 2017 Konica Minolta Inc. became a member of LoRa Alliance™ to consolidate research activities in Cyber Physical Systems and IoT
Konica Minolta Inc. joins LoRa Alliance™ to make a further step to securely link the physical and digital worlds in the future workplaces. LoRaWAN™ technology will provide wireless connectivity for the sensor-enabled business process management systems currently being developed by Konica Minolta Laboratory Europe (KMLE).
Faculty of Electrical Engineering and Communication of University of BRNO
Since September 2016, KMLE collaborates with the Faculty of Electrical Engineering and Communication of BRNO University on real time communication for use with Smart Glasses
Konica Minolta Laboratory Europe supports a joint research and development activity about real time, low energy, low latency and high bandwidth wireless communication for Smart Glasses equipped with a computational platform unit. Application of novel 5G standards and modelling of performance are part of a jointly funded PhD thesis.
University College London
Since March 2017, KMLE and UCL are developing a Distributed Robotics Network of robotic telescopes connected with a centralised management system.
Within the Distributed Robotic Network, each robotic observatory has an intelligence of its own but the coordination of multiple observatories, and the storage of the acquired data is centrally managed. The ultimate goal of KMLE is to understand how these distributed intelligent networks of robots function, how they can be optimised, and how similar technologies can be applied to different industry verticals, including manufacturing, healthcare and the workplace of the future.