Papers
11
Total Citations
205
H-Index
7
About
Mykhailo Ivanov is a leading researcher in multi-robot systems, swarm robotics, and autonomous navigation, with a focus on optimizing robotic group behavior in cluttered, hazardous terrains. His major contributions center on developing real-time technical vision systems (TVS) and data fusion models that enable robotic groups to share environmental knowledge, significantly improving dead reckoning and path planning. His most cited work, "Data transferring model determination in robotic group" (72 citations), lays the groundwork for efficient inter-robot communication, while his 2020 paper on data clouds fusion from 3D TVS (50 citations) proposes a novel navigation scheme that enhances group autonomy. Ivanov’s book chapter on mobile robot path planning using continuous laser scanning (19 citations) introduces a superior alternative to discrete scanning, and his work on individual scans fusion (17 citations) advances virtual knowledge bases for group navigation. He has also explored informational entropy reduction in multi-robot systems (12 citations) and developed a numerical optimisation-based control pipeline for robot arms in machine learning experiments (5 citations). With over 200 total citations, Ivanov’s research is pivotal for advancing autonomous robotic teams in real-world applications like search-and-rescue and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1Data transferring model determination in robotic group72 citations · 2016
- 2
- 3Mobile Robot Path Planning Using Continuous Laser Scanning19 citations · 2018
- 4
- 5
- 6
- 7Transferring model in robotic group8 citations · 2016
- 8
- 9
- 10Data Exchange and Task of Navigation for Robotic Group3 citations · 2019