Marco Alejandro Hinojosa Tonato
Papers
1
Total Citations
3
H-Index
1
About
Marco Alejandro Hinojosa Tonato’s research centers on robotics, control systems, and autonomous navigation, with a particular focus on the precise modeling and identification of differential drive robots. His most-cited work, “Comparison of Two System Identification Approaches for a Four-Wheel Differential Robot Based on Velocity Command Execution,” introduces a novel comparative analysis of two modeling frameworks—the Motor-Based Model (MBM) and an alternative approach—to enhance trajectory planning and control in autonomous systems. By demonstrating how accurate system identification improves velocity command execution, Hinojosa Tonato’s contributions directly address critical challenges in mobile robotics, enabling more reliable and efficient robot behavior in real-world environments. Though early in his career, his work has already garnered attention, with his top paper accumulating 3 citations shortly after publication in 2025. His research holds significant promise for advancing autonomous vehicle design and industrial automation. Hinojosa Tonato’s methodical approach to bridging theoretical modeling with practical implementation marks him as an emerging voice in the field of robotics and control engineering.
Research Focus
Key Achievements
Top Papers
- 1