Publication detail
VIRTUAL TRACTOR - TOOL FOR AI TESTING
PROKOP, A. HEJČL, P. REKEM, J. ŘEHÁK, K.
English title
VIRTUAL TRACTOR - TOOL FOR AI TESTING
Type
presentation, poster
Language
en
Original abstract
New technologies for autonomous operation of agricultural machinery will increase efectivity, reduce environmental impact and improve operational safety. The development of these new control algorithms needs an accurate and flexible environment for testing purposes. The presentation discusses the methodology of building such environments that contain a validated physics-based multi-body model of the agricultural tractor. The control algorithms based on reinforcement learning strategies are also explained in detail.
English abstract
New technologies for autonomous operation of agricultural machinery will increase efectivity, reduce environmental impact and improve operational safety. The development of these new control algorithms needs an accurate and flexible environment for testing purposes. The presentation discusses the methodology of building such environments that contain a validated physics-based multi-body model of the agricultural tractor. The control algorithms based on reinforcement learning strategies are also explained in detail.
Keywords in English
agricultural tractor, reinforcement learning, multi body model, autonomous driving
Released
23.06.2023
Publisher
MSC.Software s.r.o.
Location
Brno
Book
Proceedings of SOFTWARE USER CONFERENCE 2023 CZ&SK
Pages count
15