Healinno Tech® Unveils Ultrasound-Guided Hybrid Robot For Prostate Biopsy At IROS 2025
The research introduces a novel Quantum-behaved Particle Swarm Optimization (QPSO) algorithm, which optimizes robotic mechanical parameters for enhanced precision. When compared to other mainstream optimization methods, the QPSO algorithm delivered superior results, meeting the high accuracy requirements of clinical surgeries. The robot prototype underwent validation through experiments involving water and gelatin phantoms, demonstrating excellent absolute positioning errors in 3D space, with a maximum error of only 1.47 mm in water and 1.75 mm in gelatin, both well within clinical standards.
This breakthrough research is supported by several national and municipal scientific projects in China. Healinno Tech's ongoing efforts focus on enhancing the robot's capabilities with features such as "dynamic tracking" and "respiratory compensation". These advancements will help pave the way for clinical translation and industrial application, marking a significant step toward the future of medical robotics.
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