Oskars Teikmanis received the B.Sc. degree in Engineering Science from the Technical University of Munich (TUM) in 2016. He continued his studies at TUM to obtain the 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 and joined EDI in 2021, becoming a researcher in July 2023. His current research interests include robotics, optimization and control theory.
Related publications:
Recent projects
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5th Generation connected and automated mobility cross-border EU trials (5G-Routes) #H2020
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Automotive Intelligence for/at Connected Shared Mobility (AI4CSM) #H2020
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Smart Materials, Photonics, Technologies, and Engineering Ecosystem (MOTE) #VPP
Recent publications
- Oskars Teikmanis, Aleksandrs Levinskis, Andris Ivars Mackus, Artis Rušiņš, Amr Elkenawy, Marta Tropa, Modris Greitans. 2023. "Automated Vehicle Platform with Connected Driving Capabilities 2023 IEEE International Conference on Intelligent Transportation Systems (ITSC)"
- Kārlis Freivalds, Laura Leja, Oskars Teikmanis, "Learning to Move Objects with Fluid Streams in a Differentiable Simulation", ROBOT 2024 7th Iberian Robotics Conference, IEEE,
- Laura Leja, Oskars Teikmanis, Kārlis Freivalds, 2024. "Shaping Flames with Differentiable Physics Simulations" "Machine Learning and the Physical Sciences" , NeurIPS 2024
- Kārlis Freivalds, Oskars Teikmanis, Laura Leja, Rodions Saltanovs, Ralfs Āboliņš, "Learning Fluid-Directed Rigid Body Control", "Machine Learning and the Physical Sciences" at NeurIPS 2024