First face-to-face industry training held in Tampere

The MORE project has been running for nearly two years and due to travel restrictions, all meetings and trainings up to now have been held virtually until today. We finally had the opportunity to meet in person for the first time from the 15th-17th November 2021. In total, 23 members from the MORE consortium including the eight Early Stage Researchers met up for the 3rd Industry training event organised by TAU in Tampere, Finland.

The three-day training event included presentations from invited external speakers on Robotics, manipulator, trajectory optimization (Arun Singh, Univ. of Tartu) and a number of MORE network members on a number of relevant topics covering Hydraulics boom (Marcus Rösth, HIAB), Forestry Applications and Technologies (Timo Käppi, J. Deere), BIM in Infra Construction (Teppo Viinikka, Novatron), Control of Articulated Hydraulic Robotic Systems, (Janne Koivumäki Novatron), Operator assistance (Manuel Bös, Liebherr), Robot learning for heavy mobile machines (Nataliya Strokina / Reza Ghabcheloo,TAU) and Automation, Robotics in heavy machines (Christine Brach/Ulrich Lenzgeiger, Bosch Rexroth)

We also had the opportunity to visit our local hosts’ labs and demonstrators. TAU to showcase Robots in action in our RoboLab Tampere https://research.tuni.fi/robolabtampere/ At the end of each day, we held roundtable session to discuss the technical topics which were presented during the day.  In these discussion academia and industry collaboration was intensively elaborated. Being able to meet in person has provided the MORE members the possibility to get to know each other on a much more personal level and to strengthen team spirit. We would like to thank all the contributors to the Industry Day and are looking forward to MORE!  

Project Pitch by Amirmasoud Molaei

Amirmasoud is one of the eight Early Stage Researchers in MORE who are all researching on individual projects to address the need for dramatic improvements in HDM machinery. In this video, Amirmasoud Molaei presents his individual project in MORE on work performance evaluation of mobile machines in earth moving tasks by using process models and sensor data.