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Robots struggle to transfer learned communication to physical world

By PulseAugur Editorial · [1 sources] ·

Researchers have investigated the transferability of co-evolved communication protocols from simulated environments to physical robots. In an experiment involving two e-puck mobile robots controlled by a gated recurrent unit (GRU) network, the communication protocol was directly transferred to a 3D physical setting without retraining. While some adjustments were made for stable physical operation, the transfer proved to be partial and asymmetric, with one robot failing to reach its objective in most trials. Further experiments indicated that the success of emergent communication transfer is contingent not only on the signaling process but also on the ecological and navigational conditions present during evolution. AI

IMPACT Highlights challenges in transferring learned behaviors from simulation to the real world for embodied AI systems.

RANK_REASON Academic paper detailing a research experiment and its findings. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.NE (Neural & Evolutionary) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Robots struggle to transfer learned communication to physical world

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Academic paper detailing a research experiment and its findings. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Fernando Montes-Gonzalez ·

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

    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…

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