M. V. A. Raju Bahubalendruni
National Institute of Technology, Puducherry, National Institute of Technology Rourkela
Papers
21
Total Citations
636
H-Index
14
About
M. V. A. Raju Bahubalendruni is a prominent researcher specializing in robotic assembly sequence planning, human-robot collaboration, and intelligent manufacturing systems. His work sits at the intersection of industrial automation, optimization algorithms, and Industry 4.0 technologies, making significant contributions to how modern manufacturing systems are designed and operated. Bahubalendruni's most impactful contribution is his comprehensive state-of-the-art review on human-robot collaboration in Industry 4.0 contexts (2021), which has garnered over 176 citations and serves as a foundational reference for researchers navigating the evolving landscape of collaborative manufacturing. His sustained focus on robotic assembly sequence planning has yielded multiple influential methodologies, including novel concatenation methods, stability graph approaches, and geometric feasibility techniques, collectively accumulating hundreds of citations across the field. His application of metaheuristic optimization algorithms — including Teaching Learning-Based Optimization and Particle Swarm Optimization — to assembly planning problems has provided practical, computationally efficient solutions for complex manufacturing challenges in aerospace and defense sectors. More recently, his work on immersive visualization technologies for human-robot collaborative layouts (2023, 63 citations) reflects his forward-looking approach to smart factory design. With a diverse portfolio spanning in-pipe robotics to shop floor resource allocation, Bahubalendruni has established himself as a versatile and highly cited voice in intelligent manufacturing research.
Research Focus
Key Achievements
Top Papers
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- 9Development of in-pipe robots for inspection and cleaning tasks24 citations · 2016
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