Abstract:
Objective Under the background of policy guidance and technological development, the Multi-RevRobot for the transformation of clinical evidence of traditional Chinese medicine was developed to enhance the convenience of the transformation and application of clinical evidence of TCM. The goal was to enhance the convenience of transforming and applying TCM clinical evidence.
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 transformation and plays corresponding roles in different settings.
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 transformation and application of TCM evidence.
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