Resmi J. Chandran
Papers
1
Total Citations
5
H-Index
1
About
Resmi J. Chandran is a researcher whose work sits at the intersection of robotics and artificial intelligence, with a particular focus on solving complex kinematic problems. Her most cited paper, "Forward kinematic solution for a five joint robot using artificial neural network" (2014), demonstrates a novel approach to robotic manipulation: instead of relying solely on traditional transformation matrices, Chandran applied artificial neural networks to compute forward kinematics for a five-joint robot manipulator. This work, which has garnered 5 citations, represents an early and creative integration of machine learning into classical robotics challenges. By replacing conventional mathematical methods with a neural network-based solution, Chandran contributed to making robotic systems more adaptable and computationally efficient. Her research is particularly valuable for students and engineers interested in the intersection of control theory, robotics, and AI. Chandran’s approach highlights how neural networks can simplify the often tedious calculations involved in determining a robot’s end-effector position from its joint angles, offering a pathway toward more intelligent and flexible robotic systems.
Research Focus
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Top Papers
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