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Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound
Published on: January 7, 2019
[Development and Application of Multi-RevRobot for the Translation of Clinical Evidence of Traditional Chinese
Zhaochen Ji1,2, Haiyin Hu2, Zhiyuan He3
1Tianjin University of Traditional Chinese Medicine, Tianjin, 301617.
Objective:
Under the background of policy guidance and technological development, the Multi-RevRobot for the translation of clinical evidence of traditional Chinese medicine (TCM) was developed to enhance the efficiency and applicability of clinical evidence translation in TCM.
Methods:
A prototype of Multi-RevRobot was designed and developed. This involved components such as the perception system, control system, execution system, power system, and interaction system. Universal model interfaces were integrated to connect with vertical large models and knowledge bases, enabling intelligent interaction. The artificial potential field method was combined with reinforcement learning to achieve efficient coordination between the robot's global path planning and local obstacle-avoidance decision-making. This allows the robot to be deployed and applied in various scenarios.
Results:
Multi-RevRobot features intelligent interaction, report generation, and multi-scenario adaptability. It provides a practical solution for TCM clinical evidence translation and plays corresponding roles in various scenarios.
Conclusion:
Multi-RevRobot is expected to serve as a clinical and research assistant for doctors, researchers, patients, and other groups. It can improve the efficiency of TCM-related work and facilitate the intelligent and efficient translation and application of TCM evidence.
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