Rabindra Narayan Mohapatra

Integrated Test Range, Siksha O Anusandhan University

Papers

Total Citations

H-Index

About

Rabindra Narayan Mohapatra is a researcher focused on the optimization of robotic assembly processes, a critical area in modern manufacturing. His work centers on developing computational methods to generate efficient, cost-effective assembly sequences for industrial robots. Mohapatra’s major contributions lie in applying bio-inspired algorithms to solve complex assembly planning problems. His 2009 paper, "Generation of robotic assembly sequence using ant colony optimization," leverages the collective intelligence of ant colonies to minimize assembly costs related to operations, motions, and direction changes. He further advanced this field with his 2012 work, "Generation of Optimized Robotic Assembly Sequence Using Immune Based Technique," which employs artificial immune systems to enhance assembly efficiency and precision. While his citation counts are modest—3 and 2 respectively—these papers represent foundational efforts in integrating nature-inspired metaheuristics with robotic automation. Mohapatra’s research addresses the practical challenge of making robotic assembly faster, more reliable, and more economical, contributing to the broader goal of intelligent manufacturing systems.