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AVATAR: Advancing Virtual Aptitude through TActo-cognitive Response systems (AVATAR)
Project
Project code: 2219NR020
Contract period: 01.03.2019
- 28.02.2022
Budget: 198,145 Euro
Purpose of research: Applied research
Keywords: digitalization, bioeconomie, renewable ressources
A digital coaching, assistance and feedback system (CAFS) is designed for improving productivity and job satisfaction of forest machine operators while reducing mental stress. In addition, it will allow for training of young and senior professionals in a more meaningful and efficient way. CAFS contributes to enhanced value adding and resource utilization in forest industry, thus, strengthening sustainable and competitive bio-economies of Europe. Productivity of timber harvesting by single grip harvesters is largely depending on forest stand characteristics and topography. In contrast, productivity of timber extraction by forwarders is mostly determined by the quality of the timber harvesting operation, including piling of logs along the machine operating trail. Therefore, in addition to forwarding distance, loading conditions in the forest stand, pre-concentration of log assortments, side of log piling along the skid trail and the number of logs per pile are essential factors influencing loading time and, as such, total time required per forwarding cycle. The goal of this subproject is therefore to develop technical solutions enabling efficient interaction of harvester and forwarder operators. On one hand, these solutions are intended to ensure real-time exchange of success-determining information between operators of forest machinery and, on the other hand, to increase efficiency of forwarding cycles through improved in-stand log piling by single grip harvesters.
Section overview
Subjects
- Forestry
- Renewable Resources
- Computer science
