Shri Prakash Sharma

Papers

Total Citations

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About

Shri Prakash Sharma is a distinguished researcher in robotics and intelligent control systems, with a particular focus on hybrid force/position control for robot manipulators. His seminal 2011 paper on neural network-based hybrid control, which has garnered 93 citations, represents a foundational contribution to the field, demonstrating how adaptive neural architectures can seamlessly integrate force and position regulation in complex robotic tasks. This work has influenced subsequent advancements in compliant manipulation, industrial automation, and human-robot interaction. Beyond this flagship study, Sharma's research spans adaptive control, machine learning applications in mechatronics, and sensor-based robotic systems. His contributions are characterized by a rigorous theoretical framework combined with practical experimental validation, making his findings directly applicable to real-world robotic systems. With a citation record that underscores the enduring relevance of his work, Sharma has established himself as a key figure in the development of intelligent control methodologies. His research continues to inspire new generations of roboticists and control engineers seeking to enhance the autonomy and precision of robotic manipulators in unstructured environments.