Papers
2
Total Citations
4
H-Index
2
About
Mykhailo Matei is a researcher focused on advancing the autonomy and efficiency of terrestrial mobile robots, with key contributions in embedded systems optimization and local navigation. His work addresses critical challenges in robotics, particularly the computational limitations of onboard microcontrollers. In his 2019 study, Matei demonstrated how restructuring program code to eliminate reliance on third-party libraries can significantly reduce microcontroller load, thereby increasing the discretization frequency and overall computing performance—a practical solution for real-time robotic control. His 2020 research further extends this impact by developing and experimentally validating a complex information processing algorithm for a local navigation system. Through simulation and physical modeling, Matei’s system achieved improved qualitative characteristics for terrestrial robot navigation, enhancing obstacle avoidance and path planning in real-world environments. While his most-cited papers each hold 2 citations, their foundational nature in embedded robotics and navigation is evident, offering valuable insights for students and engineers seeking to optimize robot hardware-software integration. Matei’s work bridges the gap between theoretical algorithm design and practical, resource-constrained implementation—a crucial step toward more capable and responsive autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2