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Self-learning control systems for mobile machines


Contact: Mohammd Karam Daaboul




Project Status: active


Description

Through the use of machine learning, an agricultural work process consisting of tractor and auxiliary equipment is to be optimized and automated. The self-learning system optimizes the processes with regard to defined target functions, for example performance (ha/h) and efficiency (l/ha). The system can be evaluated by measurements on the chassis dynamometer and field tests using the exemplary work processes "ploughing" and "rotary harrows". The system architecture is designed in such a way that the procedure can be transferred with specific adaptations to other mobile machines.


Involved Persons


Information

n.a.
Funding: MOBIMA e.V.


Partners

MOBIMA


Research Group

Applied Technical Cognitive Systems


Publications Belonging to the Project
article
 - inproceedings
 - book
 - incollection
 - booklet
 - proceedings
 - phdthesis
 - techreport
 - deliverable
 - manual
 - misc
 - unpublished