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About

R. B. Mishra’s research focuses on the design, optimization, and control of serial and parallel robot manipulators, with a particular emphasis on improving their dynamic performance and task efficiency. His major contributions include the development of a direct search non-gradient method for task-based design optimization, which simultaneously optimizes task time and robot parameters such as link lengths and trajectory profiles. He also pioneered the use of artificial neural networks and genetic algorithms to minimize task time under kinodynamic constraints, and systematically identified key factors influencing the dynamic performance of 3-RRR planar and articulated robots. His most cited work, “Task-based design optimization of serial robot manipulators” (2012, 31 citations), demonstrates the practical impact of his approach. Additionally, Mishra applied genetic algorithm-based control to simulate an ABB IRB 6640 robot in a real-world foundry workcell, bridging theory and industrial application. His work provides valuable tools for engineers seeking to enhance robot speed, accuracy, and energy efficiency in manufacturing settings.