Piyush Chauhan

University of Petroleum and Energy Studies

Papers

Total Citations

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About

Dr. Piyush Chauhan’s research sits at the intersection of surgical robotics and intelligent data mining, where precision engineering meets algorithmic efficiency. His most impactful work, “Performance estimation of computed torque control for surgical robot application” (2020, 12 citations), tackles a critical challenge in modern medicine: enabling robots to perform delicate procedures with enhanced accuracy. By modeling and validating computed torque control for a 2PRP-configuration surgical robot—featuring revolute and prismatic joints—Chauhan demonstrated how to reduce operating time, tremor, and blood loss while increasing dexterity. This contribution directly addresses the real-world need for safer, more reliable robotic assistance in the operating room. Complementing this, his work on “Distributed association rule mining with minimum communication overhead” (2019, 4 citations) reveals a broader interest in efficient data processing, applying decentralized algorithms to minimize bandwidth in networked systems. Together, these studies highlight Chauhan’s dual focus: advancing control theory for medical robotics and optimizing data mining for distributed environments. His research offers practical pathways for students and engineers aiming to build smarter, more responsive surgical tools and communication-efficient AI systems.