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OTTO

Optimizing the Work-Efficiency of Working Machines

Project leader
Heikki Koivo
Other researchers
Kalevi Tervo
Samuel Aulanko
Vesa Hölttä
Jani Kaartinen
Joonas Varso
Anssi Pekkola
Alex Mattsson
Aino Manninen
Research unit
Automaatio- ja systeemitekniikan laitos
Cooperation units
John Deere Forestry Oy
Tampere
Konecranes Oy
Hyvinkää
Research contribution
2010
2009
2008

Keywords: Skill evaluation, Human factors, Hidden Markov models, Human adaptive mechatronics, Intelligent coaching systems, Intelligent machines, Intelligent services


In man-machine processes, such as working machines, the human operator plays a significant role in terms of productivity, fuel economy, and quality of the end product. Therefore, the overall performance of the system depends, on one hand, on the technical performance and on the other hand on the performance of man-machine interaction (HMI). The focus of OTTO-project is on the latter. The performance of the HMI includes the performance and skills of the human operator and the performance of the control system responding to the operator's commands. It has been recognized that the performance variations between two operators working with similar machines can be tens of percents. In order to utilize the whole capability of the machine both the technical performance and the human skills need to be optimized. OTTO-project aims to develop methods for improving the work-efficiency of machine operators



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