Alexandr Bajenov
Papers
2
Total Citations
19
H-Index
2
About
Alexandr Bajenov is a robotics researcher whose work centers on biomorphic hyper-redundant snake robots and low-cost inertial measurement unit (IMU)-based motion tracking. His major contributions lie in improving the accuracy and practicality of snake-like robotic locomotion through innovative sensor integration and 3D-printed prototyping. In his most-cited paper (2017, 17 citations), Bajenov developed and experimentally validated a snake robot prototype that optimizes limited internal space for functional modules—including power, wireless control, and detective sensors—while enhancing motion tracking fidelity. A companion paper (2017, 2 citations) further demonstrates his systematic approach to IMU-based tracking for these highly articulated systems. By addressing the fundamental challenge of accurate motion estimation in constrained, hyper-redundant platforms, Bajenov’s work has practical implications for search-and-rescue, inspection, and exploration robots that must navigate confined environments. His research bridges hardware design and sensor fusion, offering a replicable framework for low-cost, high-performance biomorphic robotics. Bajenov’s contributions continue to inspire engineers seeking to make snake robots more reliable and accessible for real-world deployment.
Research Focus
Key Achievements
Top Papers
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