Jānis Ārents
Ph.D.
Senior Researcher
Researcher Janis Arents has been working in EDI since 2016. In 2023, he obtained the degree of Doctor of Science (Ph.D.) in the branch "Engineering and technologies: electrical engineering, electronics, information and communication technologies" at Riga Technical University - RTU, (Riga, Latvia). Main research topics are connected with innovative digital technology usage in industrial applications, including computer vision and artificial intelligence-based systems for industrial process automation, and mobile robot systems. Actively involved in EDI robotics field development. Main expertise and interests in areas such as industrial robotics, mobile robotics and their control systems; ROS; ROS2; 3D modelling; artificial intelligence, automation, cyber-physical systems.
Projects
9 results
- Human-inspired Advanced Machine Intelligence for accelerating European AI innovation, cooperation and industrial adoption (HumAMI) 01.09.2026 – 31.08.2029 Completed
- Edge AI Technologies for Optimised Performance Embedded Processing (EdgeAI) 01.12.2022 – 31.12.2025 Completed
- Smart Materials, Photonics, Technologies, and Engineering Ecosystem (MOTE) 01.01.2023 – 31.12.2024 Completed
- Intelligent Motion Control under Industry 4.E (IMOCO4.E) 01.09.2021 – 31.08.2024 Completed
- Development of microrobot based on visual recognition and machine learning for manipulation of individual living cells (RoVam) 01.01.2021 – 31.12.2023 Completed
- Digital Technologies, Advanced Robotics and increased Cyber-security for Agile Production in Future European Manufacturing Ecosystems (TRINITY) 01.01.2019 – 31.12.2022 Completed
- Vision, Identification, with Z-sensing Technology and key Applications (VIZTA) 01.05.2019 – 31.10.2022 Completed
- Artificial Intelligence for Digitizing Industry (AI4DI) 01.05.2019 – 31.05.2022 Completed
- Research on the Development of Computer Vision Methods for Industrial Process Automation (DIPA) 01.11.2016 – 30.11.2018 Completed
Publications
- 2025
Correction to: Towards Open-Set NLP-Based Multi-Level Planning for Robotic Tasks(opens in a new window)
Peteris Racinskis, Oskars Vismanis, Toms Eduards Zinars, Janis Arents, Modris Greitans
Applied Sciences (Switzerland), Vol. 15 (5), MDPI
- 2025
Model Selection and Prompting Strategies in Resource Constrained Environments for LLM-based Robotic System(opens in a new window)
Toms Eduards Zinars, Oskars Vismanis, Peteris Racinskis, Janis Arents, Modris Greitans
Charting the Intelligence Frontiers Edge AI Systems Nexu, p. 147-165, River Publishers Series in Communications and Networking
- 2025
The EDI Multi-Modal Simultaneous Localization and Mapping Dataset (EDI-SLAM)(opens in a new window)
Peteris Racinskis , Gustavs Krasnikovs, Janis Arents and Modris Greitans
Data, Vol. 10 (1), p. 5, MDPI
- 2025
Multi-Step Object Re-Identification on Edge Devices: A Pipeline for Vehicle Re-Identification
Tomass Zutis, Peteris Racinskis, Anzelika Bureka, Janis Judvaitis, Janis Arents, and Modris Greitans
Charting the Intelligence Frontiers – Edge AI Systems Nexus, p. 233-253, River Publishers
- 2024
Towards Open-Set NLP-Based Multi-Level Planning for Robotic Tasks(opens in a new window)
Peteris Racinskis , Oskars Vismanis , Toms Eduards Zinars , Janis Arents and Modris Greitans
Applied Sciences, Vol. 14 (22), p. 10717, MDPI