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PROKOP, A. HEJČL, P. REKEM, J. ŘEHÁK, K.
Originální název
VIRTUAL TRACTOR - TOOL FOR AI TESTING
Typ
prezentace, poster
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
agricultural tractor, reinforcement learning, multi body model, autonomous driving
Autoři
PROKOP, A.; HEJČL, P.; REKEM, J.; ŘEHÁK, K.
Vydáno
23. 6. 2023
Nakladatel
MSC.Software s.r.o.
Místo
Brno
Strany počet
15
BibTex
@misc{BUT186700, author="Aleš {Prokop} and Pavel {Hejčl} and Jakub {Rekem} and Kamil {Řehák}", title="VIRTUAL TRACTOR - TOOL FOR AI TESTING", booktitle="Proceedings of SOFTWARE USER CONFERENCE 2023 CZ&SK", year="2023", pages="15", publisher="MSC.Software s.r.o.", address="Brno", note="presentation, poster" }