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Collective structures can now enhance responsiveness to stimuli without losing noise persistence. This adaptive time delay strategy, inspired by fish schools, improves collective behavior and enables intelligent microrobot applications.

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Area of Science:

  • Collective behavior
  • Swarm intelligence
  • Biomimetic systems

Background:

  • Collective structures face a persistence-responsivity tradeoff, limiting their ability to filter noise and react to stimuli.
  • Existing systems struggle to differentiate useful information from environmental noise, leading to compromised performance.

Purpose of the Study:

  • To introduce an adaptive time delay strategy inspired by fish schooling behavior.
  • To overcome the inherent tradeoff between persistence and responsivity in collective structures.
  • To develop intelligent swarm microrobots with enhanced environmental interaction capabilities.

Main Methods:

  • Particles powered by optothermal fields and an optical feedback-control system were utilized.
  • An adaptive time delay mechanism was implemented and tested with a specific threshold.
  • The strategy was integrated with long-distance transportation and obstacle-avoidance functionalities.

Main Results:

  • Experimental results showed a 1.6-fold enhancement in collective structure responsivity.
  • Persistence to environmental noise was maintained without degradation.
  • Successful prototyping of adaptive swarm microrobots demonstrated integrated capabilities.

Conclusions:

  • Adaptive time delay effectively addresses the persistence-responsivity tradeoff in collective systems.
  • This approach provides a foundation for developing sophisticated swarm micro/nanorobots.
  • The biomimetic strategy offers a pathway for intelligent robotic systems in complex environments.