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About

Korbinian Nottensteiner is a robotics researcher whose work spans autonomous assembly planning, space robotics, and adaptive manipulation systems. His research has made significant contributions to the automation of complex assembly tasks, with a particular focus on enabling robotic systems to handle the challenges of modern manufacturing and in-space construction. Nottensteiner's most influential contributions lie in robotic assembly sequence planning, where his work on iteratively refined feasibility checks (65 citations) and pattern recognition for knowledge transfer (47 citations) has advanced the field of autonomous, flexible manufacturing. These methods address the growing demand for production systems capable of adapting to customized products without time-intensive manual engineering. His research on combined visual and tactile sensing (32 citations) further pushes toward fully autonomous robotic assembly in dynamic, real-world environments. Beyond terrestrial manufacturing, Nottensteiner has pioneered planning systems for in-space robotic assembly (25 citations), including autonomous construction of large-scale structures such as segmented mirror telescopes — a frontier challenge in space exploration. His broader portfolio also encompasses workcell layout optimization and robotic surface finishing, demonstrating versatility across applied robotics domains. With over 260 cumulative citations, his work represents a meaningful and growing contribution to intelligent robotic systems research.