[Current research on intelligent acupuncture robots: breakthroughs and challenges in key technologies]

Area of Science:

• Robotics
• Artificial Intelligence
• Acupuncture
• Biomedical Engineering

Background:

• Traditional acupuncture lacks standardization and objectivity.
• Intelligent acupuncture robots aim to bridge traditional practices with modern technology.
• Development focuses on enhancing accuracy, standardization, and objectivity in acupuncture treatments.

Purpose of the Study:

• To explore technological breakthroughs and challenges in intelligent acupuncture robot development.
• To detail advancements in acupoint localization, manipulation acquisition, and human-machine interaction.
• To investigate the integration of AI and robotics for acupuncture, including deqi response detection.

Main Methods:

• Deep learning and image recognition for precise acupoint localization.
• High-precision sensors (force, acceleration, optical, motion capture) and machine learning for manipulation acquisition.
• Visual and force feedback technologies for improved human-machine interaction.

Main Results:

• Improved precision in acupoint localization through AI and image recognition.
• Enhanced fidelity of manipulation acquisition and reproduction using advanced sensors and machine learning.
• More natural and accurate acupuncture procedures due to progress in human-machine interaction.

Conclusions:

• Intelligent acupuncture robots represent a multidisciplinary advancement in healthcare.
• Further research requires integrating clinical data with engineering solutions for meridian modeling and acupoint characterization.
• The development necessitates a focus on AI and robotics for effective implementation in acupuncture.