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About

Alexis Carlos Holgado is a robotics researcher whose work sits at the intersection of soft robotics, tactile sensing, and humanoid manipulation. His primary contributions lie in developing novel, high-performance skin sensor technologies for robots, with a particular focus on creating multimodal, adjustable sensitivity 3-axis tactile sensors. His most cited work, "A Multimodal, Adjustable Sensitivity, Digital 3-Axis Skin Sensor Module" (2020, 13 citations), details a groundbreaking sensor that uses a geomagnetic Hall effect sensor to track magnetic field changes from a flexible electromagnet, enabling precise, adjustable touch sensitivity. This innovation directly addresses a critical limitation in robotic skin: the inability to dynamically tune sensor range and sensitivity during operation. Holgado further demonstrated the practical application of his designs by integrating these soft, magnetic fingertip sensors into the iCub humanoid robot, enhancing its dexterous manipulation capabilities beyond standard capacitive sensing. His forward-looking perspective is evident in his 2024 work exploring the integration of Generative AI into robotic industrial inspection. With a growing citation footprint, Holgado is establishing himself as a key innovator in the quest to give robots a more human-like, adaptive sense of touch.