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About

Muhammad Rehan is a pioneering researcher in tactile sensing for robotic surgical systems, specializing in the development of multi-axis force sensors that mimic human touch. His major contributions center on designing soft, low-cost sensors that fully decouple normal, shear, and angular forces—critical for precise force feedback in minimally invasive surgery. His most cited work, “A Soft Multi-Axis High Force Range Magnetic Tactile Sensor” (2022, 49 citations), introduces a novel magnetic tactile sensor with rapid prototyping capabilities, enabling high force range detection while maintaining output decoupling. Rehan further advanced the field with a high-sensitivity capacitive tactile sensor (2024, 10 citations) that uses a patterned elastomer dielectric to achieve superior sensitivity and full decoupling for normal and shear forces. His latest work (2025, 9 citations) draws inspiration from the human tactile system, combining capacitive and piezoelectric elements to discriminate static and dynamic forces, with neural network-based texture recognition. This biomimetic approach marks a significant step toward more intuitive haptic feedback in robotic surgery. Rehan’s research is highly impactful, with his sensors poised to enhance surgical precision and patient outcomes, making him a key figure in the evolution of tactile sensing technology for medical robotics.