Bijaya Kumar Khamari

National Institute of Technology Rourkela

Papers

Total Citations

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About

Bijaya Kumar Khamari is a researcher specializing in robotic assembly, trajectory planning, and manufacturing automation. His work focuses on optimizing industrial robotics through computational methods, particularly in clash detection and efficient motion planning. In his 2019 paper, "CAD-Based Automatic Clash Analysis for Robotic Assembly," Khamari addressed a critical bottleneck in manufacturing—ensuring clash-free assembly sequences—by developing a mathematical model that automates clash detection, reducing manual intervention and errors. This work has garnered 5 citations, reflecting its relevance to assembly automation. Expanding on optimization, his 2020 study, "An Efficient Robotic Manipulator Trajectory Planning Using Modified Firefly Algorithm," introduced a nature-inspired algorithm to minimize path length and energy consumption in robotic manipulators, achieving smoother, faster trajectories. With 3 citations, this contribution highlights his ability to merge bio-inspired computing with practical robotics. Khamari’s research bridges theoretical modeling and real-world manufacturing challenges, offering scalable solutions for Industry 4.0. His work is particularly valuable for students and engineers seeking to enhance robotic efficiency and reliability in complex assembly tasks.