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About

Samanta Piano is a distinguished researcher specializing in industrial robot calibration, precision metrology, and intelligent optimization for advanced manufacturing systems. Her work addresses a fundamental challenge in modern robotics: achieving the high positional accuracy demanded by industrial applications, from aerospace assembly to precision component manipulation. Piano's most significant contributions center on developing innovative calibration methodologies for industrial robots. Her highly cited 2023 work on Denavit-Hartenberg parameter calibration using laser tracker systems and intelligent optimization approaches — garnering 27 citations — established a compelling framework for improving forward kinematic accuracy. Complementing this, her neural network separation approach for modeling static friction (12 citations) demonstrates her ability to combine machine learning with traditional robotics modeling to achieve more reliable robot performance. Beyond calibration, Piano has pioneered the use of meta-heuristic algorithms, including artificial bee colony optimization, for intelligent robot calibration, and has extended her research into robot-assisted optical metrology and anomaly detection in aerospace drilling applications. Her work consistently bridges theoretical innovation with industrial practicality, making contributions relevant to manufacturers demanding repeatable, high-precision robotic performance. With a growing citation record and an expanding portfolio spanning AI-driven optimization, advanced sensing, and manufacturing automation, Piano represents an important emerging voice in precision engineering and intelligent robotics research.