Ramdevsinh Jhala

Marwadi Education Foundation, Marwadi University

Papers

Total Citations

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About

Dr. Ramdevsinh Jhala is a leading researcher in the intersection of robotics and advanced computational intelligence, with a primary focus on metaheuristic optimization for robotic trajectory planning. His major contributions lie in systematically comparing and applying cutting-edge bio-inspired and population-based algorithms to solve the complex, multi-objective problem of optimizing robotic arm motion. His seminal 2014 work, which has garnered 54 citations, provides a comprehensive benchmark of seven different metaheuristics—including the Artificial Bee Colony (ABC) algorithm and biogeography-based optimization—for a three-revolute (3R) robotic arm, establishing a critical framework for selecting the most efficient solver. Building on this, his 2013 study (31 citations) specifically demonstrated the superior performance of the Teaching Learning Based Optimization (TLBO) algorithm against ABC for the same trajectory planning challenge. By rigorously evaluating these nature-inspired techniques, Dr. Jhala has significantly advanced the field of autonomous robotic manipulation, offering engineers practical, data-driven methods to achieve smoother, faster, and more energy-efficient robot motions. His work remains a foundational reference for anyone developing intelligent control systems for industrial and service robotics.