Annika Kirner
Papers
2
Total Citations
7
H-Index
2
About
Annika Kirner is a rising researcher in the field of robotic manipulation, with a focus on adaptive control and impact-aware planning. Her work addresses critical challenges in making robot manipulators more precise and reliable during dynamic tasks. Kirner’s most cited paper introduces a novel adaptive tracking control framework that blends uncertainty-aware and state-dependent feedback, significantly improving tracking performance under dynamic modeling errors. This work has garnered 5 citations, establishing a foundation for robust, real-time control. More recently, she has pioneered the analysis of targeted non-slippage impacts—a class of contact tasks critical for applications like stamping, where the end-effector must not slip upon contact. Her 2024 paper provides a model-based analysis to plan such impacts, earning 2 citations and opening new avenues for high-precision industrial automation. Kirner’s contributions are notable for bridging theoretical control design with practical impact scenarios, offering solutions that enhance robot reliability in unstructured environments. As her research gains traction, she is poised to influence the next generation of adaptive and contact-aware robotic systems.
Research Focus
Key Achievements
Top Papers
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- 2