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About

G. Canepa is a robotics and sensing researcher whose work has made meaningful contributions to the fields of tactile sensing, robotic manipulation, and kinematic calibration. With a career spanning more than a decade of published research, Canepa has focused primarily on developing intelligent sensor systems that enable robots to perceive and respond to physical contact with greater precision and reliability. Among Canepa's most significant contributions is pioneering work on the detection of incipient object slippage — a critical capability for robotic grasping and manipulation. Their 1998 paper on skin-like sensing combined with neural network processing has garnered 75 citations, establishing it as a landmark study in artificial tactile systems. This work, complemented by earlier foundational research on skin-like tactile sensor arrays for contact stress field extraction (34 citations, 1993) and tactile sensing for stable grasp (1991), reflects a sustained commitment to replicating the nuanced sensitivity of biological touch in robotic systems. Canepa also made notable strides in robot kinematic calibration, introducing an innovative triaxial accelerometer-based method (27 citations, 2002) that simplifies the calibration process through efficient joint-by-joint testing. Collectively, Canepa's body of work — totaling over 150 citations — represents a thoughtful and technically rigorous effort to advance robotic dexterity and sensory intelligence.