B. Nageswara Rao
Papers
3
Total Citations
6
H-Index
2
About
B. Nageswara Rao is a researcher whose work centers on robotics, manufacturing optimization, and human-robot interaction. His primary contributions lie in improving industrial robotic processes and enhancing robotic dexterity. Notably, Rao pioneered the application of a modified Taguchi approach for multi-objective optimization in robot spray painting, demonstrating how to specify optimal process parameters that boost quality and productivity while reducing labor and cost—a method with direct implications for the automotive and home appliance industries. He has also advanced control systems for robotics, developing an optimal PID controller for a 4-DOF manipulator using a genetic algorithm. Most recently, Rao has explored the frontiers of biomimetic robotics, investigating hyper-elastic materials and differentiated soft pad patterns to emulate human finger compliance in robotic fingertips, aiming to improve grasping reliability. With his most cited work accumulating citations and his latest research published in 2025, Rao’s trajectory shows a sustained focus on bridging theoretical optimization with practical robotic applications, making his research valuable for engineers seeking to refine automated manufacturing and develop more human-like robotic hands.
Research Focus
Key Achievements
Top Papers
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