5 citations · 5 across the 2 of their papers we have counts for
4 papers
Cortex 2.0: Grounding World Models in Real-World Industrial Deployment
Adriana Aida, Walid Amer, Katarina Bankovic +25
Industrial robotic manipulation demands reliable long-horizon execution across embodiments, tasks, and changing object distributions. While Vision-Language-Action models have demon…
Deep 6-DoF Tracking of Unknown Objects for Reactive Grasping
Marc Tuscher, Julian Hörz, Danny Driess +1
Robotic manipulation of unknown objects is an important field of research. Practical applications occur in many real-world settings where robots need to interact with an unknown en…
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…
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…