Tiruvidula Eswara Rao
Papers
1
Total Citations
5
H-Index
1
About
Dr. Tiruvidula Eswara Rao is a robotics researcher whose work centers on the computational kinematics and optimization of serial manipulators. His most notable contribution is the development of a genetic algorithm-based approach for solving inverse kinematics problems—a fundamental challenge in robotics that involves determining joint configurations to achieve desired end-effector positions. Published in 2019, his paper "Inverse Kinematics Analysis of Serial Manipulators Using Genetic Algorithms" has garnered 5 citations, reflecting its practical value in advancing efficient, heuristic-driven solutions for complex robotic motion planning. This work bridges traditional analytical methods with evolutionary computation, offering a robust alternative for systems where closed-form solutions are infeasible. Dr. Rao’s research is particularly relevant for applications in industrial automation, prosthetic design, and autonomous systems, where precise and adaptive control is critical. His contributions underscore a commitment to making robotic manipulation more accessible and computationally tractable, providing a foundation for further exploration into bio-inspired optimization techniques in kinematics.
Research Focus
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Top Papers
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