Bulat Abbyasov
Papers
10
Total Citations
132
H-Index
5
About
Bulat Abbyasov is a robotics researcher whose work centers on simulation environments, autonomous navigation, and the development of modular robotic platforms. His most significant contribution is the creation of an automatic tool for generating 3D Gazebo worlds from grayscale images, a paper that has garnered 54 citations and become a key resource for researchers needing rapid prototyping of simulated landscapes. Abbyasov has also advanced the field of search and rescue robotics, proposing an AI-based framework for international collaborative operations (42 citations). His research extends to practical simulation challenges, including modeling real office environments and maze-like structures for Gazebo, as well as comparing ROS local planners for holonomic robots. Notably, he has designed and modeled an omnidirectional chassis (LIRS-ArtBul) and developed a corresponding Gazebo plugin, enabling high-mobility locomotion in constrained spaces. Abbyasov has also explored SLAM simulation for Arctic conditions and vision-based autonomous navigation for medical examinations using a UR3e manipulator. Through these contributions, he has established himself as a developer of accessible simulation tools and platforms that lower the barrier to entry for robotics experimentation and testing.
Research Focus
Key Achievements
Top Papers
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- 6Omniwheel Chassis' Model and Plugin for Gazebo Simulator5 citations · 2023
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- 10Comparison of Monocular ROS-Based Visual SLAM Methods2 citations · 2022