Gerhard Neumann
Neumann earned a PhD from TU Graz in 2012, later worked at TU Darmstadt and was a professor at Lincoln from 2016 to 2019. He held a Bosch AI leadership role and a Tübingen appointment from March to December 2019. Neumann began leading KIT’s Autonomous Learning Robots chair in January 2020. His research focuses on data-efficient algorithms, robot skills taught by people and human-robot collaboration. Neumann coauthored Learning Riemannian Manifolds for Geodesic Motion Skills. The team used a variational autoencoder and geometric paths to learn movements from demonstrations and adapt them around new obstacles.
- Works
- 586
- Citations
- 8,875
- h-index
- 43
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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2012–2019
Academic and industrial research
Neumann earned a PhD from TU Graz in 2012, later worked at TU Darmstadt and was a professor at Lincoln from 2016 to 2019. He held a Bosch AI leadership role and a Tübingen appointment from March to December 2019.
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2020
Autonomous Learning Robots
Neumann began leading KIT’s Autonomous Learning Robots chair in January 2020. His research focuses on data-efficient algorithms, robot skills taught by people and human-robot collaboration.
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2021
Learning movement geometry
Neumann coauthored Learning Riemannian Manifolds for Geodesic Motion Skills. The team used a variational autoencoder and geometric paths to learn movements from demonstrations and adapt them around new obstacles.
Sources and credits
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