P. Prinetto

Papers

Total Citations

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About

P. Prinetto is a leading researcher in collaborative robotics and human-machine interfaces, with a focus on creating intuitive, bidirectional communication systems that bridge the gap between humans and industrial robots. Their major contributions lie in the development of gesture-based control systems integrated with neuromorphic haptic feedback, enabling operators to control robotic arms through natural hand movements while receiving tactile sensations that mimic real-world touch. This work has profound implications for telepresence applications, including tele-medicine, remote rescue operations, and industrial automation. Prinetto’s most cited paper, "Tactile sensing with gesture-controlled collaborative robot" (2020), has garnered 10 citations and introduces a multisensory telepresence system that allows operators to feel what the robot feels, enhancing precision and safety. Their earlier work, "Gesture-Based Control of a Robot Arm with Neuromorphic Haptic Feedback" (2018), laid the groundwork for these innovations. By combining gesture recognition with tactile feedback, Prinetto is pushing the boundaries of how humans and robots collaborate, making remote interaction more seamless and immersive than ever before.