8 citations · 21 across the 10 of their papers we have counts for
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cs.RO2025
A Design Co-Pilot for Task-Tailored Manipulators
Jonathan Külz, Sehoon Ha, Matthias Althoff
Although robotic manipulators are used in an ever-growing range of applications, robot manufacturers typically follow a ``one-fits-all'' philosophy, employing identical manipulator…
cs.LG2025
Leveraging Analytic Gradients in Provably Safe Reinforcement Learning
Tim Walter, Hannah Markgraf, Jonathan Külz +1
The deployment of autonomous robots in safety-critical applications requires safety guarantees. Provably safe reinforcement learning is an active field of research that aims to pro…