16 citations · 21 across the 2 of their papers we have counts for
3 papers
cs.RO2025★ 16 cited
Efficient task and path planning for maintenance automation using a robot system
Christian Friedrich, Akos Csiszar, Armin Lechler +1
The research and development of intelligent automation solutions is a ground-breaking point for the factory of the future. A promising and challenging mission is the use of autonom…
cs.LG2020
Deep Reinforcement Learning using Cyclical Learning Rates
Ralf Gulde, Marc Tuscher, Akos Csiszar +2
Deep Reinforcement Learning (DRL) methods often rely on the meticulous tuning of hyperparameters to successfully resolve problems. One of the most influential parameters in optimiz…
eess.SY2020★ 5 cited
Reinforcement Learning Approach to Vibration Compensation for Dynamic Feed Drive Systems
Ralf Gulde, Marc Tuscher, Akos Csiszar +2
Vibration compensation is important for many domains. For the machine tool industry it translates to higher machining precision and longer component lifetime. Current methods for v…