Max Robotics — Global Service Robot Directory + US Certification

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Trevor K. Stephens is a leading researcher in surgical robotics, with a primary focus on haptic feedback, force estimation, and autonomous control for robotic surgical systems. His most impactful work centers on the da Vinci surgical robot, where he has pioneered methods to estimate grip force and jaw angle using existing tool sensors—eliminating the need for custom hardware. His 2018 paper on torque measurement surrogates (19 citations) and subsequent work mapping over 50,000 grasps (12 citations) have established foundational techniques for improving tissue identification and surgical training. Stephens has also advanced shared control and adaptive impedance control, enabling robots to interact safely with unknown soft environments while tracking setpoint forces. His 2019 paper on adaptive impedance control (7 citations) addresses critical challenges in stable human-robot interaction. Beyond estimation, he has contributed to portable calibration instruments for da Vinci tools, aiming to reduce tissue crush injuries. With a citation count exceeding 50 across his top papers, Stephens’ work bridges the gap between robotic dexterity and the lost sense of touch, directly impacting surgical safety and training. His research is essential reading for anyone interested in haptics, teleoperation, and intelligent control in medical robotics.