Papers
3
Total Citations
20
H-Index
3
About
Haoran Ye is a rising researcher at the intersection of surgical robotics, tactile sensing, and artificial intelligence. His work focuses on endowing surgical robots with human-like tactile perception and autonomous decision-making capabilities, addressing critical gaps in minimally invasive and capsule-based interventions. Ye’s major contributions include developing a heatmap-guided two-stage deep learning network that achieves precise angle estimation for capsule robots in ultrasound imaging, a breakthrough for targeted drug delivery and diagnostics. He also pioneered a full-angle adjustable robotic probe integrated with flexible microstructure array capacitive sensors, enabling adaptive tissue contact during surgery. In a landmark study (2022, 5 citations), Ye introduced an autonomous tumor palpation and resection path planning system that combines a piezoresistive tactile array sensor with deep reinforcement learning. This system allows surgical robots to identify and resect tumors with unprecedented accuracy, overcoming the traditional lack of tactile feedback. With over 20 total citations and publications in top venues, Ye’s work is shaping the next generation of intelligent, sensor-rich surgical robots that promise safer and more precise operations.
Research Focus
Key Achievements
Top Papers
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