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How Perception, Actuation, and Communication Impact the Emergence of Collective Intelligence in Simulated Modular

Francesco Rusin1,2, Eric Medvet3

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Summary

Limited abilities in modular robots can lead to successful collective intelligence. Simpler controllers are easier to optimize, and morphological computation plays a key role in task success.

Keywords:
Embodied AIcollective intelligenceevolutionary roboticsmodularityneuroevolution

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Soft Robotics

Background:

  • Modular robots comprise simple agents (modules) that interact to achieve complex behaviors.
  • Individual modules possess limited perception, action, and communication capabilities.
  • Coordinated module behavior and information sharing enable collective complex actions.

Purpose of the Study:

  • Analyze the impact of module abilities (perception, actuation, communication) on controller design for simulated modular robots.
  • Investigate how these abilities influence the emergence of collective intelligence in modular robots.
  • Examine the role of morphological computation and required collectivity in task performance.

Main Methods:

  • Utilized evolutionary computation to optimize controllers for simulated modular soft robots.
  • Assessed robot performance on locomotion and piling tasks.
  • Varied the actuation, perception, and communication abilities of individual modules.

Main Results:

  • Limited module abilities do not necessarily hinder task success in modular robots.
  • Smaller search spaces associated with limited abilities simplify controller optimization.
  • Morphological computation significantly contributes to the success of soft modular robots.
  • The degree of required collectivity is a critical factor in task achievement.

Conclusions:

  • Optimizing controllers for modular robots is feasible even with limited individual module abilities.
  • The trade-off between module capabilities and controller complexity favors simpler designs.
  • Morphological computation and task-specific collectivity are crucial for emergent intelligence in modular soft robots.