REACTIVE SOLUTIONS TO OPTIMAL MOTION PLANNING FOR MOBILE ROBOTS USING REINFORCEMENT LEARNING



Ref.No: 61516400
Start date: 03.04.2023
End date: 02.04.2025
Approval date: 31.03.2023
Department: MECHANICAL ENGINEERING
Sector: MECHANICAL DESIGN & AUTOMATIC CONTROL
Financier: 4Η ΠΡΟΚΗΡΥΞΗ ΕΛΙΔΕΚ ΓΙΑ Υ.Δ., ELIDEK
Budget: 21.600,00 €
Public key: 6ΙΠΓ46ΨΖΣ4-Ζ1Χ
Scientific Responsible: Prof. KYRIAKOPOULOS
Email: kkyria@mail.ntua.gr
Description: IN CONTROL THEORY (CT), REACTIVE METHODS HAVE BEEN WIDELY CELEBRATED OWING TO THEIR SUCCESS IN PROVIDING ROBUST, PROVABLY CONVERGENT SOLUTIONS TO CONTROL PROBLEMS. WHILE SUCH METHODS HAVE LONG BEEN FORMULATED IN THE CONTEXT OF MOTION PLANNING, OPTIMALITY
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