Papers
2
Total Citations
16
H-Index
1
About
Yilong Chen is a rising researcher at the intersection of human-robot interaction and medical robotics, with a focus on making robots safer and more effective in real-world settings. His work spans two critical domains: understanding how humans naturally navigate around robots in construction environments, and developing advanced robotic systems for MRI-guided surgery. In his highly cited 2024 study on human-robot proxemic norms in construction, Chen empirically examined how workers instinctively move around autonomous robots, providing foundational insights for designing safer human-robot collaborative workspaces. This work, with 15 citations, has already influenced discussions on robot navigation and safety protocols in dynamic construction sites. Chen also leads pioneering efforts in medical robotics, notably designing an MRI-compatible cable-driven puncture surgical robot for prostate procedures. His 2025 paper tackles the formidable challenge of operating within the confined workspace and strong magnetic field of an MRI scanner, proposing a novel cable-driven mechanism that maintains precision without interfering with imaging. This work demonstrates Chen’s ability to bridge mechanical design with clinical constraints, offering a promising path toward more accurate, minimally invasive cancer diagnostics. With contributions that span both human factors and hardware innovation, Yilong Chen is establishing himself as a versatile engineer shaping the future of collaborative and surgical robotics.
Research Focus
Key Achievements
Top Papers
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