Ilya Afanasyev
Papers
23
Total Citations
737
H-Index
13
About
Ilya Afanasyev is a prominent robotics researcher whose work centers on autonomous mobile robotics, simultaneous localization and mapping (SLAM), and unmanned vehicle systems. He has made particularly significant contributions to the systematic evaluation of ROS-based SLAM frameworks, producing rigorous comparative analyses that have become essential references for robotics practitioners worldwide. His 2018 study comparing various SLAM systems for indoor mobile robots has garnered 198 citations, while his companion paper benchmarking 2D SLAM algorithms using precise ground truth metrics earned over 100 citations — together establishing him as a leading authority on SLAM evaluation methodology. Afanasyev's research spans an impressive breadth of robotic platforms, including wheeled mobile robots, crawler-type unmanned ground vehicles (UGVs), quadcopters, and anthropomorphic bipedal robots. His work on UAV-UGV coordination, Voronoi-based trajectory optimization, and human-like locomotion modeling reflects a commitment to advancing real-world autonomous systems. His early contributions to ROS/Gazebo simulation pipelines, particularly for crawler robots, have provided the robotics community with practical modeling frameworks. Collectively accumulating over 600 citations, Afanasyev's body of work represents a vital resource for students and researchers navigating the rapidly evolving landscape of mobile robotics and autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1Comparison of Various SLAM Systems for Mobile Robot in an Indoor Environment198 citations · 2018
- 2Map Comparison of Lidar-based 2D SLAM Algorithms Using Precise Ground Truth103 citations · 2018
- 3
- 4
- 53D modelling and simulation of a crawler robot in ROS/Gazebo43 citations · 2016
- 6
- 7
- 8Voronoi-based trajectory optimization for UGV path planning24 citations · 2017
- 9
- 10