Max Robotics — Global Service Robot Directory + US Certification

About

Ian Waters is a leading researcher in the field of surgical robotics, with a specific focus on enhancing the safety and precision of robot-assisted surgery through advanced grasping control. His work addresses a critical limitation of modern surgical platforms: the inability to reliably control grasp force, which can lead to either tissue slippage or accidental tissue trauma. Waters’ major contributions center on the novel application of incipient slip sensing—a technique that detects the earliest micro-movements before a full slip occurs. By developing force control strategies that utilize this pre-slip data, he has pioneered methods to automate grasping and prevent tissue damage during delicate procedures. His most cited works, including "Incipient Slip Sensing for Improved Grasping in Robot Assisted Surgery" (10 citations) and "Utilising Incipient Slip for Grasping Automation in Robot Assisted Surgery" (10 citations), have laid the groundwork for a new generation of haptic-free feedback systems. His research on "Encouraging and Detecting Preferential Incipient Slip" (7 citations) further refines this approach, offering a robust solution to a long-standing challenge in the field. Waters’ work is highly regarded for its potential to improve patient outcomes and expand the capabilities of robotic surgical systems.