ResearchResearch paperRobotics & Embodied AI · Reinforcement Learning2 sources · Oct 9, 2026

The value of information and the emergence of communication in evolved e-puck robots

We study when communication emerges between autonomous agents and what role an innate action selection architecture plays.

Key points

  • Two e-puck robots, reconstructed in PyBullet from their Webots model and validated against it, must find a feeding zone that can only be detected when a robot passes over it.
  • Each robot can emit a one-bit signal whose direction is detected by the receiver.
  • In contrast, evolving directly in the large arena does not increase the frequency of communication, but it does separate the strategies, and the referential signal clearly outperforms solitary searching.
  • Within EASA, innate reflexes constrain the network and reduce performance.

Sources (2)

Extractive summary: sentences quoted from the sources.

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