Papers
1
Total Citations
20
H-Index
1
About
Qichun Song’s research centers on advancing robot-assisted minimally invasive surgery (MIS), with a particular focus on master/slave control systems and force-sensing technologies. His most-cited work, “Realization of Force Detection and Feedback Control for Slave Manipulator of Master/Slave Surgical Robot” (2021, 20 citations), addresses a critical challenge in surgical robotics: enabling precise force feedback from instruments at the slave manipulator’s end. By integrating force detection with real-time feedback control, Song’s contributions enhance the safety and dexterity of robotic surgery, allowing surgeons to “feel” tissue interactions during delicate procedures. This work bridges a gap between academic research and clinical application, improving the intuitiveness of master/slave manipulation. With 20 citations, his paper has gained traction among researchers in surgical robotics and haptics. Song’s achievements underscore his role in refining human-robot interaction for MIS, making complex operations more reliable and accessible. His ongoing efforts continue to shape the future of teleoperated surgical systems, where force feedback is key to advancing patient outcomes.
Research Focus
Key Achievements
Top Papers
- 1