S. Swaroop Vedula

Johns Hopkins University, Malone University

Papers

Total Citations

H-Index

About

S. Swaroop Vedula is a leading researcher in surgical robotics and simulation-based training, with a focus on improving the safety and efficacy of minimally invasive procedures. His work centers on developing virtual fixture frameworks to assist surgeons in performing highly dexterous tasks, such as needle passing and knot tying during robotic surgery. In his highly cited 2016 paper (37 citations), Vedula introduced a simple yet versatile impedance virtual fixture system that enhances precision and control on the master manipulator of teleoperated robotic systems, directly addressing the challenges of suturing in confined spaces. He also investigates the validity of surgical training tools, as demonstrated in his 2021 study (5 citations), which found that virtual reality simulation has only a weak correlation with overall trainee performance in robot-assisted laparoscopic hysterectomy—a critical insight for curriculum design. Vedula’s contributions bridge engineering and clinical practice, informing the development of smarter assistance systems and more effective training paradigms. His work has been recognized for its practical impact on surgical education and robotic system design, making him a key voice in the advancement of computer-assisted surgery.