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About

Alessandro Tognetti is a prominent researcher whose work sits at the intersection of wearable sensing technologies, human-robot interaction, and assistive robotics. His research has made significant contributions to the development of smart sensing garments and gloves, advancing how humans interface with robotic systems in both clinical and industrial contexts. Tognetti's most influential work explores the design of lightweight, stretchable wearable devices that capture rich human movement and physiological data. His multi-modal sensing glove, combining hand posture reconstruction with tactile pressure sensing using knitted piezoresistive fabrics, has garnered 48 citations and exemplifies his innovative approach to human-machine interfaces. Equally impactful is his work on teleimpedance and wearability in robotic teleoperation (51 citations), which has helped simplify complex human-robot control paradigms. His research extends to surgical robotics, where gesture recognition gloves guide collaborative robots during laparoscopic procedures, and to assistive technologies enabling motor-impaired individuals to control powered wheelchairs through sensorized garments. Beyond motor interfaces, Tognetti has explored emotional state assessment in social robotics and the neural correlates of human-robot handshaking, demonstrating a broad and humanistic vision of robotics. With over 200 cumulative citations, his body of work meaningfully advances the field of embodied, user-centered human-robot interaction.