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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Guannan, L., Švogor, I., & Beltrame, G. (2017, July). Self-adaptive pattern formation with battery-powered robot swarms [Paper]. NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2017), Pasadena, CA. External link
Li, G., Švogor, I., & Beltrame, G. (2019). Long-term pattern formation and maintenance for battery-powered robots. Swarm Intelligence, 13(1), 21-57. External link
St-Onge, D., Varadharajan, V. S., Švogor, I., & Beltrame, G. (2020). From design to deployment: decentralized coordination of heterogeneous robotic teams. Frontiers in Robotics and AI, 7, 51 (16 pages). Available
St-Onge, D., Varadharajan, V. S., Švogor, I., & Beltrame, G. (2020). Two decentralized behaviors for robotic swarms from simulation to the field [Dataset]. External link
Švogor, I., Crnković, I., & Vrček, N. (2019). An extensible framework for software configuration optimization on heterogeneous computing systems: Time and energy case study. Information and Software Technology, 105, 30-42. External link
Shahriari, M., Švogor, I., St-Onge, D., & Beltrame, G. (2018, October). Lightweight Collision Avoidance for Resource-Constrained Robots [Paper]. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), Madrid, Spain. External link
