Samuel Kariuki
Papers
1
Total Citations
2
H-Index
1
About
Samuel Kariuki is a robotics researcher whose work centers on advancing autonomous navigation for nonholonomic mobile robots. His primary contributions lie in developing simulation frameworks that bridge the gap between theoretical path planning algorithms and real-world deployment, addressing critical challenges in cost, safety, and scalability. His most cited work, "A Co-simulation framework using MATLAB and CoppeliaSim for path planning of nonholonomic mobile robots" (2025), introduces a modular, scalable integration that enables rigorous testing of navigation systems without the constraints of physical experimentation. While his citation count is still growing, Kariuki’s focus on practical, accessible simulation tools positions him as an emerging voice in robotics, particularly for students and researchers seeking to validate complex algorithms in controlled environments. His work underscores the importance of co-simulation in accelerating the development of reliable autonomous systems, making him a notable contributor to the field’s methodological toolkit.
Research Focus
Key Achievements
Top Papers
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