Roberts Kadiķis
Dr. sc. ing.
Senior Researcher
Roberts Kadiķis has been working at the Institute of Electronics and Computer Science (EDI) since 2011 and has been conducting research in the fields of computer vision and artificial intelligence ever since. He graduated from Riga Technical University, where he obtained a PhD in electronics program in 2018, defending his dissertation “Efficient methods for detection and characterization of moving objects in video.”
Roberts' research interests include image processing, computer vision, and machine learning, as well as the application of these methods to practical tasks in medicine, robotics, intelligent transportation systems, and the field of autonomous driving. Currently, his research focus is generative artificial intelligence and its use in developing synthetic data suitable for training perception models.
From 2019 to 2025, Roberts led EDI’s Robotics and Machine Perception Laboratory and served as Chair of the EDI Scientific Council (2019-2021, 2024). He has led the institute’s teams in Horizon, ERAF, and LZP projects, as well as in contract research. He currently supervises several doctoral dissertations and is a member of the University of Latvia Promotion Council. Outside his research, Roberts works on developing Ascent Lumina, the company he co-founded, and enjoys making music and exploring other creative expressions of natural and artificial intelligence.
Projects
1 result
Publications
- 2025
Deep Learning-Emerged Grid Cells-Based Bio-Inspired Navigation in Robotics(opens in a new window)
Simkuns Arturs, Saltanovs Rodions, Ivanovs Maksims, Kadiķis Roberts
Sensors, Vol. 25 (5), MDPI
- 2025
Virtual Staining From Optical Coherence Tomography to Hematoxylin and Eosin Stained Skin Tumor Samples in Pets
Daira Viškere, Mindaugas Tamošiūnas, Romans Maļiks, Diāna Dupļevska, Ilze Matīse-van Houtana, Roberts Kadiķis, Blaž Cugmas
31st Annual International Scientific Conference "Research for Rural Development 2025
- 2025
Raman spectral band imaging for the diagnostics and classification of canine and feline cutaneous tumors(opens in a new window)
Tamošiūnas Mindaugas, Maciulevičius Martynas, Maļiks Romans, Dupļevska Diāna, Viškere Daira, Matīse-van Houtana Ilze, Kadiķis Roberts, Cugmas Blaž, Raišutis Renaldas
Veterinary Quarterly (Vet Q), Vol. 45 (1), p. 1–17, Taylor & Francis
- 2025
Automated Pollen Recognition in Optical and Holographic Microscopy Images(opens in a new window)
Swarn Singh Warshaneyan, Maksims Ivanovs, Blaž Cugmas, Inese Bērziņa, Laura Goldberga, Mindaugas Tamosiunas, Roberts Kadiķis
2025 3rd Cognitive Models and Artificial Intelligence Conference (AICCONF), Vol. 1 (1), IEEE
- 2024
Automated classification of pollens relevant to veterinary medicine(opens in a new window)
Blaz Cugmas, Eva Štruc, Inese Bērziņa, Mindaugas Tamošiūnas, Laura Goldberga, Thierry Olivry, Kārlis Zviedris, Roberts Kadiķis, Maksims Ivanovs, Miran Bürmen, Peter Naglič
2024 IEEE 14th International Conference Nanomaterials: Applications & Properties (NAP), IEEE
Patents
- 2015
European Patent No. EP2700054 B1
EP2700054 (type: A1, date: 26.02.2014; type: B1, date: 22.04.2015) “System and method for video-based vehicle detection”. Inventors: K.Freivalds, R.Kadikis, M.Greitans. Applicant:
Institute of Electronics and Computer Sciences of Latvia.