Papers
5
Total Citations
61
H-Index
4
About
Alper Denasi is a leading researcher in the intersection of robotics and minimally invasive surgery (MIS), with a focus on enhancing precision and autonomy in cardiovascular interventions. His most cited work, "Model predictive control of a robotically actuated delivery sheath for beating heart compensation" (2017, 34 citations), addresses a critical challenge in MIS: compensating for heart motion during procedures. By developing a model predictive control strategy for a robotically actuated sheath, Denasi enables safer, more accurate treatment of high-risk patients who were previously denied surgery due to the risks of cardiac motion. His contributions extend to robot programming by demonstration (2009, 12 citations), where he pioneered a task programming method that allows users to teach robots constrained motion tasks through demonstration—a foundational step toward intuitive human-robot collaboration. Denasi has also explored force characterization of thin film actuators for untethered microdevices (2019, 8 citations), advancing miniature robotics for implantable biomedical devices. His work on controlled synchronization, inspired by Huygens' principles (2014), and teleoperated cooperative robotics (2014) further demonstrates his versatility in performance-oriented control design. With a career spanning from foundational programming methods to cutting-edge surgical robotics, Denasi’s research is shaping the future of autonomous, minimally invasive medical interventions.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robot programming by demonstration12 citations · 2009
- 3
- 4Controlled synchronization: a Huygens' inspired approach4 citations · 2014
- 5