Embodied Cross-Domain Intelligence in Biomedical Microrobots: A Review

Area of Science:

• Biomedical Engineering
• Robotics
• Artificial Intelligence

Background:

• Microrobots offer transformative potential in diagnostics, therapy, and surgery.
• Current microrobots lack the adaptive capabilities needed for complex biological environments.
• Existing research often addresses intelligence domains in isolation.

Purpose of the Study:

• To introduce a unified framework of embodied cross-domain intelligence for microrobots.
• To outline principles, advances, and limitations of physical, biological, computational, and human intelligence in microrobotics.
• To analyze interfaces for synergistic coupling and map combinations to biomedical applications.

Main Methods:

• Review and synthesis of existing literature on different intelligence domains.
• Analysis of inter-domain interfaces and synergistic potential.
• Mapping of intelligence domain combinations to specific biomedical tasks.

Main Results:

• A framework for synergistic coupling of diverse intelligence domains is presented.
• Identification of key challenges in integration, control, safety, and validation.
• Outline of future research directions for clinical translation.

Conclusions:

• Embodied cross-domain intelligence enables multifunctional, collaborative, and adaptive microrobotic behavior.
• Framing microrobot development as a cross-domain synergy challenge is crucial.
• This approach guides interdisciplinary efforts for complex, multistage biomedical tasks.