Priyadarshi Mahapatra
Papers
3
Total Citations
85
H-Index
3
About
Dr. Priyadarshi Mahapatra is a leading researcher in the field of robotics, with a primary focus on solving the complex inverse kinematics problems that govern robotic manipulator motion. His major contributions center on developing evolutionary computation approaches to address the multimodal nature of these problems—where multiple joint configurations can achieve the same end-effector position. Mahapatra pioneered the use of real-coded genetic algorithms (RCGAs) to resolve solution multiplicity by incorporating performance criteria such as total joint displacement, enabling more efficient and practical robot control. His most influential work, "An evolutionary approach for solving the multimodal inverse kinematics problem of industrial robots" (2006), has garnered 69 citations, establishing a foundational methodology in the field. He further advanced this research by systematically comparing niching strategies—including tournament selection with simulated binary crossover and parameter-based mutation—to evaluate their effectiveness in finding optimal solutions. Through his innovative application of genetic algorithms to robotics, Mahapatra has provided engineers with powerful tools for automating complex manipulator movements, significantly impacting industrial robotics and contributing to the broader field of computational intelligence in engineering.
Research Focus
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Top Papers
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