Apurva Patel
Papers
1
Total Citations
6
H-Index
1
About
Apurva Patel is a researcher specializing in precision engineering and robotics, with a particular focus on parallel kinematic machines (PKMs) and their calibration. His work centers on the Stewart platform, a six-degree-of-freedom mechanism known for its high stiffness and accuracy, which he explores for applications ranging from medical devices to advanced manufacturing. His most-cited paper, "Calibration of Parallel Kinematic Machine Based on Stewart Platform – A Literature Review" (2021, 6 citations), provides a comprehensive synthesis of calibration techniques, addressing critical challenges such as geometric errors and sensor inaccuracies that limit PKM performance. This review has become a foundational resource for researchers seeking to enhance the precision of these systems in real-world settings. Patel’s contributions are particularly valuable for bridging theoretical kinematics with practical deployment, offering insights into error modeling and compensation strategies. His work underscores the potential of Stewart platform-based PKMs in high-stakes fields like surgical robotics and aerospace assembly, where minute inaccuracies can have significant consequences. By systematically cataloging and evaluating calibration methods, Patel has helped advance the reliability and adoption of these complex machines, making his research a key reference for engineers and academics working at the intersection of robotics, metrology, and mechanical design.
Research Focus
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Top Papers
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