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About

Weston Ross is a pioneering researcher at the intersection of surgical robotics, medical laser systems, and neurosurgical automation. His work centers on developing intelligent robotic platforms capable of performing precise soft tissue resection — particularly tumor removal — with greater accuracy and safety than human-operated instruments alone can achieve. Ross's most influential contribution, "Automating neurosurgical tumor resection surgery" (2018, 11 citations), demonstrated volumetric laser ablation of porcine brain tissue integrated with real-time surface mapping, establishing a compelling proof-of-concept for fully automated neurosurgical action. Complementing this, his path planning and laser orientation research addresses one of the field's critical challenges: minimizing damage to healthy tissue while maximizing pathological tissue removal. His StereoCNC system introduced stereovision-guided control, enabling human-in-the-loop target selection with robotic precision. More recently, Ross has advanced data-driven approaches to predict laser-tissue interaction and crater morphology across tissue types, reducing dependence on complex physical models. His brain-mimicking phantom work (2023) further bridges the gap between laboratory experimentation and real intraoperative conditions. Collectively accumulating over 27 citations, Ross's contributions represent foundational steps toward safe, intelligent, and clinically translatable robotic laser surgery systems.