M. Arunadevi
Papers
1
Total Citations
4
H-Index
1
About
Dr. M. Arunadevi is a robotics researcher whose work focuses on the intersection of machine learning and robotic manipulator control. Her primary research areas include inverse kinematics, trajectory planning, and the application of computational intelligence to robotic systems. Her most notable contribution is the development of a machine learning approach for solving inverse kinematics in trajectory planning for the Pioneer 2 manipulator, utilizing cubic spline interpolation to achieve smooth and precise end-effector positioning. This work, published in 2021 with 4 citations, addresses a fundamental challenge in robotics: enabling manipulators to reliably reach desired orientations and points to complete pre-established tasks. By combining machine learning techniques with traditional kinematic analysis, Dr. Arunadevi's research offers practical solutions for designing and operating robotic arms more efficiently. Her work contributes to the broader field of intelligent robotics, where the integration of learning algorithms with mechanical systems continues to push the boundaries of automation and precision control.
Research Focus
Key Achievements
Top Papers
- 1