Sebastian Kerz

Papers

Total Citations

H-Index

About

Sebastian Kerz is a rising researcher at the forefront of data-driven control and autonomous robotics, with a focus on making intelligent systems robust in the face of real-world uncertainty. His work bridges the gap between theoretical control theory and practical industrial applications, particularly in the challenging domain of robotic manipulation. Kerz’s most impactful contribution, his 2023 paper on "An Online Adaptation Strategy for Direct Data-driven Control," has already garnered 5 citations. In this work, he extends the fundamental lemma from behavioral systems theory to create a non-parametric system representation capable of handling measurement noise, enabling data-efficient control of unknown linear and weakly nonlinear systems. This is complemented by his research on "Grasping in Uncertain Environments," where he tackles the open challenge of autonomous robotic grasping for the recycling of Waste Electrical and Electronic Equipment (WEEE). By developing strategies for robots to disassemble unknown, variable objects, Kerz is directly contributing to the future of sustainable industry. His work is notable for its direct, practical approach to complex control problems, positioning him as a key voice in the next generation of adaptive and autonomous systems.