Vinod Kumar Yadav
Papers
1
Total Citations
3
H-Index
1
About
Vinod Kumar Yadav is a robotics researcher whose work centers on the computational modeling and control of robotic manipulators, with a particular focus on the VINCI robotic arm system. His most-cited study, "Comparative study of the VINCI Robot's arm end effector matrix using Python and MATLAB" (2021), has garnered 3 citations—a modest but meaningful impact in the niche field of robotic kinematics. In this work, Yadav systematically compares the performance of Python and MATLAB in computing the end effector transformation matrix, offering practical insights for researchers selecting software tools for real-time robotic control. His contributions lie in bridging the gap between theoretical kinematics and accessible, reproducible computational methods, making complex robotic arm analysis more approachable for students and practitioners. While his citation count is still growing, Yadav's research is notable for its clarity and direct applicability to educational and prototyping contexts. His work serves as a valuable resource for those entering the field of robotics, demonstrating how open-source and commercial tools can be leveraged to solve fundamental problems in manipulator design and simulation.
Research Focus
Key Achievements
Top Papers
- 1