Oskars Vismanis is a researcher at the Institute of Electronics and Computer Science (EDI). He began working at EDI in 2019. In 2022, he obtained a professional bachelor’s degree in the program “Adaptronics,” and in 2024, a master’s degree in engineering sciences in the program “Intelligent Robotic Systems” at Riga Technical University (Riga, Latvia). He is currently pursuing doctoral studies in the program “Computer Science and Information Technology” at the same university.
His main research areas include robotics, such as robotic automation, general robotic functions, robot autonomy, as well as robot-to-robot and human-robot interaction. His current scientific work is primarily focused on the exploration and development of generally applicable functions for use in partially defined or undefined environments, which is also the topic of his dissertation.
Recipient of the “Latvenergo” award for one of the best theses in 2022, and the Latvian Academy of Sciences (LAS) award for one of the most significant achievements in Latvian science in 2024.
Outside of academia, Oskars is also an active cultural contributor, playing drums in several bands, creating and performing original music, and occasionally playing well-known songs for event audiences. He is also passionate about reading, maintaining an active and healthy lifestyle, and prototyping robots and other devices.
Recent projects
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Development of microrobot based on visual recognition and machine learning for manipulation of individual living cells (RoVam)
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Smart Materials, Photonics, Technologies, and Engineering Ecosystem (MOTE) #VPP
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Edge AI Technologies for Optimised Performance Embedded Processing (EdgeAI) #ChipsJU
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Artificial Intelligence using Quantum measured Information for realtime distributed systems at the edge (A-IQ Ready) #ChipsJU
Recent publications
- M. Laizans, J. Arents, O. Vismanis, V. Bučinskas, A. Dzedzickis, and M. Greitans. 2023. "Supplementation of synthetic object replicas for increasing precision of microrobot trajectory keypoints" Robotic Systems and Applications, 3(1): pp47-58. https://www.extrica.com/article/23128, http://dx.doi.org/10.21595/rsa.2023.23128
- Oskars Vismanis, Janis Arents, Karlis Freivalds, Vaibhav Ahluwalia and Kaspars Ozols. 2023. "Robotic System for Post Office Package Handling" Applied Sciences 13(13 - Number) 7643 (Article Number), https://www.mdpi.com/2076-3417/13/13/7643
- Arents, Janis, Valters Abolins, Janis Judvaitis, Oskars Vismanis, Aly Oraby, and Kaspars Ozols. 2021. "Human–Robot Collaboration Trends and Safety Aspects: A Systematic Review" Journal of Sensor and Actuator Networks 10, no. 3: 48. https://doi.org/10.3390/jsan10030048
- Peteris Racinskis , Oskars Vismanis , Toms Eduards Zinars , Janis Arents and Modris Greitans "Towards Open-Set NLP-Based Multi-Level Planning for Robotic Tasks" Applied Sciences, 14(22)L pp.10717. https://doi.org/10.3390/app142210717
- Toms Eduards Zinars, Oskars Vismanis, Peteris Racinskis, Janis Arents, Modris Greitans. Natural Language Conditioned Planning of Complex Robotics Tasks. In: Advancing Edge Artificial Intelligence, River Publishers Series in Communications and Networking
- Oskars Vismanis, Janis Arents, Jurga Subačiute-Žemaitieṅe, Vytautas Bučinskas, Andrius Dzedzickis, Brijesh Patel, Wei-Cheng Tung, Po-Ting Lin, Modris Greitans "A Vision-Based Micro-Manipulation System" Applied Sciences 13(24) http://dx.doi.org/10.3390/app132413248
- Toms Eduards Zinars, Oskars Vismanis, Peteris Racinskis, Janis Arents, Modris Greitans. 2025. Model Selection and Prompting Strategies in Resource Constrained Environments for LLM-based Robotic System. In O. Vermesan, A. Pagani & P. Meloni (Eds.), Charting the Intelligence Frontiers: Edge AI Systems Nexus: pp.147-165. https://doi.org/10.13052/rp-9788743808831