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Stuart Ferguson’s research sits at the intersection of robotic manipulation, human-robot interaction, and medical robotics, with a focus on enabling more intuitive and responsive control of complex robotic systems. His most cited work, “Improved APF strategies for dual-arm local motion planning” (43 citations), addresses the classic challenge of real-time motion planning for manipulators in dynamic environments, offering efficient alternatives to computationally expensive configuration-space construction. Ferguson also pioneered gesture-based control, demonstrating how optical tracking devices like the Leap Motion can replace joysticks for intuitive 6-DOF control of dual-arm robots. A particularly notable contribution is his work on haptic feedback for teleoperated laparoscopic surgery, where he developed surgical instruments incorporating quantum tunnelling composite force sensors to provide tactile feedback to surgeons—a critical step toward safer remote procedures. More recently, his “HapticVive” system integrated point-contact haptic feedback with consumer VR headsets and the Baxter robot, bridging the gap between immersive visualization and physical interaction. With over 85 total citations, Ferguson’s work has advanced practical solutions for real-time, human-centered robotic control across industrial, surgical, and virtual reality applications.