M. Sc. Oskars Teikmanis

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:

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.

 

Recent projects

• 5th Generation connected and automated mobility cross-border EU trials (5G-Routes) #H2020
• Automotive Intelligence for/at Connected Shared Mobility (AI4CSM) #H2020
• 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)"