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About

Padarbinda Samal is a rising researcher at the intersection of robotics, intelligent control, and electric motor design. His primary research focuses on the modelling and control of robotic manipulators, with a particular emphasis on flexible systems and optimization-driven design. Samal’s most influential work, a comprehensive review on modelling and control techniques for robotic manipulators, has garnered 60 citations, establishing a foundational resource for researchers navigating the complexities of manipulator dynamics and control strategies. He has advanced the field by applying nature-inspired algorithms to challenging engineering problems. Notably, Samal employed Particle Swarm Optimization (PSO) to solve optimal control problems for flexible robotic manipulators, tackling the intricate ordinary differential equations that govern their motion. More recently, he has explored the optimal design of BLDC motors—critical components in robots and electric vehicles—using the African Vulture Optimization Algorithm to enhance torque, efficiency, and speed control. Through these contributions, Samal demonstrates a commitment to integrating computational intelligence with practical electromechanical systems, offering novel pathways for improving performance in automation and robotics.