Hun Chan Lee

Papers

Total Citations

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About

Hun Chan Lee is pioneering the convergence of soft robotics and surgical precision, with a focus on developing intelligent, miniaturized systems for minimally invasive medicine. His research spans three key areas: monolithic fabrication of soft-rigid hybrid robots, laser-integrated robotic surgery, and capacitive sensing for neurosurgical tools. Lee’s most impactful work, “A fabrication strategy for millimeter-scale, self-sensing soft-rigid hybrid robots” (2024, 28 citations), introduces a scalable method that eliminates manual assembly—a critical bottleneck in small-scale soft robotics—enabling faster, more consistent production of hybrid robots with integrated sensing. In “When the End Effector Is a Laser: A Review of Robotics in Laser Surgery” (2022, 23 citations), he provides a comprehensive analysis of how robotic precision can enhance laser-based surgical interventions, positioning himself at the forefront of this emerging field. His recent proof-of-concept, “Capacitive Origami Sensing Modules for Measuring Force in a Neurosurgical, Soft Robotic Retractor” (2024), demonstrates a novel origami-inspired sensor that measures force during delicate brain surgery, highlighting his commitment to safer, smarter surgical tools. With a rapidly growing citation record, Lee is shaping the future of soft robotics in medicine.