Expertise
Dr. Sarvesh Saini’s research focuses on surgical robotics, intelligent control, and digital twin–enabled cyber-physical systems. He develops autonomous and semi-autonomous robotic platforms designed to improve precision, safety, and efficiency in minimally invasive surgery.
At the University of Miami, he is leading the development of an Autonomous Robot-Assisted Ureteroscopy (ARA-URS) system for kidney stone treatment. This work integrates robotic system design, anatomy-aware motion planning, closed-loop control, and a high-fidelity digital twin built in NVIDIA Isaac Sim. The digital twin enables simulation-driven validation, surgical strategy optimization, and system-level testing before clinical deployment.
Previously, he developed a steerable neurosurgical continuum robot and a cable-driven follow-the-leader continuum robot, addressing manipulation in confined and delicate anatomical environments. His Ph.D. work focused on adaptive and haptic control of bilateral teleoperated surgical systems.
His long-term vision is to advance AI-assisted, autonomous surgical robotics, combining intelligent control, flexible robot design, and digital twin technology to enable safer, data-driven, and precision-guided interventions.