Salman Can

About

Salman Can is a pioneering researcher in surgical robotics, with a focus on minimally invasive surgery and human-robot interaction. His most impactful work centers on the design and development of a highly versatile robot platform for single-port surgery, which introduced a novel approach using Ø12mm hollow manipulators with six degrees of freedom to enable flexible endoscopic instrument control. This work, cited 26 times, represents a significant advancement in laparoscopic surgery. Can has also made notable contributions to speech-controlled robotic systems for surgery, as demonstrated in his 2008 study on emotion-sensitive speech control for human-robot interaction in minimally invasive procedures, which achieved 25 citations. His research extends to gesture-based input methods for robotic surgery, further enhancing surgeon autonomy and precision. With a total of 70 citations across his key publications, Can's work has laid important groundwork for more intuitive and versatile surgical robots. His interdisciplinary approach, combining design, actuation, control, and vision computing, underscores his commitment to advancing surgical technology through innovative human-robot interfaces.

Research Focus

Key Achievements

Top Papers

1. 1
   Design, development and evaluation of a highly versatile robot platform for minimally invasive single-port surgery

   26 citations · 2012
2. 2
   Emotion sensitive speech control for human-robot interaction in minimal invasive surgery

   25 citations · 2008
3. 3
   Implementation and evaluation of a gesture-based input method in robotic surgery

   12 citations · 2011
4. 4
   Speech control in surgery: A field analysis and strategies

   4 citations · 2009
5. 5
   Interdisciplinary concept of design, actuation, control and vision computing of a laser-sintered single-port robot

   3 citations · 2014

Key Collaborators

Contact & Links