Tamanna Tamanna
Papers
1
Total Citations
3
H-Index
1
About
Tamanna Tamanna is a robotics researcher whose work focuses on the computational modeling and control of robotic manipulators, with a particular emphasis on improving the accuracy and efficiency of robotic arm systems. Her most cited study, "Comparative study of the VINCI Robot's arm end effector matrix using Python and MATLAB" (2021), provides a critical analysis of how different programming environments affect the calculation of end-effector matrices—a fundamental component in robot kinematics and control. By systematically comparing Python and MATLAB implementations, Tamanna’s work offers practical guidance for researchers and engineers seeking to optimize robotic arm performance through software selection. This contribution is especially valuable in the field of medical and industrial robotics, where precise end-effector positioning is essential. While her citation count is still growing, Tamanna’s research demonstrates a strong foundation in applied robotics and computational methods, marking her as an emerging voice in the development of more accessible and efficient robotic control systems.
Research Focus
Key Achievements
Top Papers
- 1