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Oskars Teikmanis

M. Sc.

Researcher

Oskars Teikmanis joined EDI in September 2021 and became a researcher in July 2023. He received his B. Sc. degree in Engineering Science from the Technical University of Munich (TUM) in 2016. He continued his studies at TUM to obtain an M. Sc. degree in Mechatronics and Information Technology in 2019, completing his master’s thesis in robot localization at the German Aerospace Center (DLR). After having worked in the field of autonomous driving in Munich for several years, Oskars moved to Latvia.

His current research interests include the application of differentiable physics simulators for gradient-based control policy learning, and simulation-to-reality strategies for transferring such policies to physical robots.

Related publications:

Teikmanis, O., Leja, L., & Freivalds, K. Applying a Differentiable Physics Simulation to Move Objects with Fluid Streams. (2023). International Workshop on Embedded Digital Intelligence (IWoEDI'2023).

C. Hernandez et al., "Searching for Objects in Human Living Environments based on Relevant Inferred and Mined Priors," 2021 European Conference on Mobile Robots (ECMR), 2021, pp. 1-7, doi: 10.1109/ECMR50962.2021.9568792.

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