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Behavioral Persistence and Incomplete Functional Transfer of Co-evolved Communication in Evolutionary Robotics

Hugging Face daily papersby Fernando Montes-Gonzalez ()1 min read1
AI summary · grok-4.7Summaries by Vani AI

Co-evolved robot communication transferred from 2D simulation to 3D hardware only partially, without weight retraining.

The study transfers a co-evolved communication protocol from a 2D simulation to a 3D physical setting without retraining network weights. Two e-puck-type robots, controlled by a residual GRU, perform a food-seeking task with social signaling. After three sensory-motor corrections, including hunger-term calibration from residual-weight asymmetry, transfer remained partial: one agent reached food in 1 of 30 seeds and the other in none. Adding directional information changed some trajectories but still did not let the second agent reach the food.

Key facts
  • Protocol moved from 2D simulation to 3D hardware without retraining.
  • Two residual-GRU e-puck robots did a food-seeking signaling task.
  • One agent reached food in 1 of 30 seeds; the other never did.
  • Directional social cues improved some trajectories but not joint success.
  • Authors say ecological and navigational conditions must be preserved.
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From the original article

1 min read at huggingface.co

This work evaluates the direct transfer of a co-evolved communication protocol from a 2D simulation to a 3D physical environment, without retraining the network weights. Two e-puck-type robots, controlled by a GRU network with residual connection, were evaluated in a food-seeking task with social signaling.

Hugging Face daily papers

By Fernando Montes-Gonzalez · huggingface.co

Read the full article at Hugging Face daily papers

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.