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About

Foo Cheong Ng is a leading researcher at the intersection of robotics, control systems, and medical surgery, with a primary focus on enhancing human-robot interaction and developing robotic-assisted surgical systems. His most impactful work, a 2018 paper with 85 citations, addresses the critical challenge of achieving stable and compliant motion in physical human-robot interaction, particularly when robots must adapt to moving environments. By integrating variable admittance and adaptive control, Ng’s research enables robotic manipulators to respond safely and intuitively to human-applied forces, a fundamental contribution to collaborative robotics. Beyond industrial applications, Ng has made significant strides in medical robotics, pioneering systems for Percutaneous Nephrolithotomy (PCNL), a procedure for large kidney stone removal. His work on ultrasound-guided robotic assistance and involuntary motion compensation—garnering 12 and 7 citations respectively—directly tackles the surgeon’s challenge of precise needle and probe control. More recently, Ng has explored the technical nuances of multivisceral resections using the da Vinci Xi surgical system, demonstrating the feasibility of complex, multi-quadrant robotic surgeries. Through these contributions, Ng is advancing both the theoretical foundations of compliant control and the practical deployment of robots in high-stakes medical environments.