Four areas, one body of work.

Force sensing and haptic feedback for robot-assisted surgery, aiming to give surgeons a reliable sense of touch through a robotic interface, a capability still largely inaccessible in most African surgical settings. The work also covers tool to tissue interaction modelling, including beam on foundation modelling of percutaneous needle steering for biopsy and brachytherapy. Current experimental work uses the Hapkit platform from Stanford's haptics lab, feeding, alongside computer vision, into a dexterous surgical arm capable of gripping and suturing.

Wearable, sensor-based systems for real-time health monitoring, including inertial sensing paired with embedded machine learning models small enough to run on the device itself. This anchors the tremor detection and severity classification work and feeds directly into the rehabilitation robotics pipeline, where the same signal processing provides the control input.