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.
Recent projects
- Development of microrobot based on visual recognition and machine learning for manipulation of individual living cells (RoVam)
-
Intelligent Motion Control under Industry 4.E (IMOCO4.E) #H2020
- Edge AI Technologies for Optimised Performance Embedded Processing (EdgeAI) #ChipsJU
-
Smart Materials, Photonics, Technologies, and Engineering Ecosystem (MOTE) #VPP
Recent publications
- 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
- Urlini Giulio, Janis Arents, and Antonio Latella. "AI in Industrial Machinery." Artificial Intelligence for Digitising Industry; River Publishers: Gistrup, Denmark (2021): 179-185. https://www.riverpublishers.com/pdf/ebook/chapter/RP_9788770226639C16.pdf
- Arents, Janis, Modris Greitans, and Bernd Lesser. "Construction of a Smart Vision-Guided Robot System for Manipulation in a Dynamic Environment." Artificial Intelligence for Digitising Industry; River Publishers: Gistrup, Denmark (2021): 205-220. https://www.riverpublishers.com/pdf/ebook/chapter/RP_9788770226639C18.pdf
- Janis Arents, Modris Greitans. 2022. "Smart Industrial Robot Control Trends, Challenges and Opportunities within Manufacturing" Applied Sciences 12, no. 2: 937. https://doi.org/10.3390/app12020937
- Ahluwalia Vaibhav, Arents Janis, Oraby Aly, Greitans Modris. Construction and benchmark of an autonomous tracked mobile robot system. Robotic Systems and Applications, Jan. 2022. (in Press). https://doi.org/10.21595/rsa.2022.22336
- Torres, P.; Arents, J.; Marques, H.; Marques, P. Bin-Picking Solution for Randomly Placed Automotive Connectors Based on Machine Learning Techniques. Electronics, 2022, 11, 476. https://doi.org/10.3390/electronics11030476
- Arents, J., Lesser, B., Bizuns, A., Kadikis, R., Buls, E., Greitans, M. (2022). Synthetic Data of Randomly Piled, Similar Objects for Deep Learning-Based Object Detection. In: Sclaroff, S., Distante, C., Leo, M., Farinella, G.M., Tombari, F. (eds) Image Analysis and Processing – ICIAP 2022. ICIAP 2022. Lecture Notes in Computer Science, vol 13232. Springer, Cham. https://doi.org/10.1007/978-3-031-06430-2_59
- Racinskis, Peteris, Janis Arents, and Modris Greitans. 2022. "A Motion Capture and Imitation Learning Based Approach to Robot Control" Applied Sciences 12, no. 14: 7186. https://doi.org/10.3390/app12147186
- Diana Duplevska, Maksims Ivanovs, Janis Arents, Roberts Kadikis. Sim2Real image translation to improve a synthetic dataset for a bin picking task
- Peteris Racinskis, Janis Arents, Modris Greitans. 2023. (POSTER) Drone Detection and Localization using Low-Cost Microphone Arrays and Convolutional Neural Networks, 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), pp.80-82.
- Peteris Racinskis, Janis Arents, Modris Greitans. "Constructing Maps for Autonomous Robotics: An Introductory Conceptual Overview, 2023" Electronics 12(13): pp2925, https://www.mdpi.com/2079-9292/12/13/2925
- 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
- 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
- Vitalijs Fescenko, Janis Arents and Roberts Kadikis. 2023. "Synthetic Data Generation for Visual Detection of Flattened PET Bottles" Machine Learning and Knowledge Extraction 5(1), pp14-28. https://www.mdpi.com/2504-4990/5/1/2
- Miha Deniša, Aleš Ude, Mihael Simoniˇc, Tero Kaarlela, Tomi Pitkäaho, Sakari Pieskä, Janis Arents, Janis Judvaitis, Kaspars Ozols, Levente Raj, András Czmerk, Morteza Dianatfar, Jyrki Latokartano, Patrick Alexander Schmidt, Anton Mauersberger, Adrian Singer, Halldor Arnarson, Beibei Shu, Dimosthenis Dimosthenopoulos, Panagiotis Karagiannis, Teemu-Pekka Ahonen, Veikko Valjus and Minna Lanz. 2023. "Technology Modules Providing Solutions for Agile Manufacturing" Machines 23, 11 (9): pp. 877, https://doi.org/10.3390/machines11090877
- Peteris Racinskis, Janis Arents, Modris Greitans. 2024 "Annotating SLAM data sets with Apriltag markers" 2024 10th International Conference on Automation, Robotics and Applications (ICARA), pp.438-442. https://doi.org/10.1109/ICARA60736.2024.10553010
- 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
- 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