Shijun Ji

Papers

Total Citations

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About

Shijun Ji is a researcher advancing the frontiers of surgical robotics and intelligent manufacturing. His primary research areas include robot-assisted minimally invasive surgery (MIS), autonomous task planning, and precision force modeling for medical procedures. Ji’s most significant contribution lies in addressing the challenge of autonomous suturing in robot-assisted surgery. His 2020 study, which has garnered 8 citations, pioneered a method for assigning suturing tasks to multiple instruments, moving beyond single-instrument movement planning to enable more complex, coordinated autonomous actions. This work is critical for enhancing surgical precision and reducing human error in the operating room. Additionally, Ji has explored the innovative use of small mobile robots for polishing large free-form surfaces in mold manufacturing, as detailed in his 2009 paper (5 citations), which tackled the complex path planning required for such applications. His 2019 research on force modeling of tool-tissue interaction during suturing (2 citations) further demonstrates his commitment to improving the safety and efficacy of robotic surgery. Through these contributions, Ji is helping to shape the future of autonomous medical robotics and advanced manufacturing.