Puncture Precision

This project aims to develop an intelligent puncture robotic arm for CT scan beds, providing physicians with precise puncture support and efficient imaging assistance. Compared to common puncture robotic arms on the market, this project is based on a smaller, more intelligent robotic arm that can reduce patient discomfort during CT puncture scans. These features not only effectively improve the efficiency of medical operations but also significantly enhance the patient’s treatment experience. In terms of technical implementation, innovative algorithms based on Deep Reinforcement Learning (DRL) are used for solving the end-point of the robotic arm. Compared to traditional mathematical calculation methods, DRL-based algorithms have the following significant advantages: more efficient and streamlined solving process, adaptability to different robotic arm structures, and greater convenience and intelligence when structural modifications are needed. This approach not only broadens the technical path for solving robotic arm end-points but also provides new possibilities for the intelligentization and personalization of medical operations.