Evaluating Communication Transfer from 2D to 3D Simulation
Evaluating the Transfer of Co-Evolved Communication from 2D to 3D Simulation
Study shows co-evolved communication in 2D improves linearly with time in 3D, but social cues mainly aid rather than guide. Asymmetry persists across runs, with physics order affecting results.
Source: arXiv Robotics — research abstracts · Read original article ↗
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What the source reports
Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
- Environment
- SimulationOpen source S2
Reported numbers
physics steps
6,000
physics steps
2,000
evolutionary runs
8
View original evidence
Analysis of eight independent evolutionary runs revealed a consistent direction of asymmetry
Open source S4
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Automatically extracted; no manual editorial approval recorded.
arXiv:2610.09280v1 Announce Type: new Abstract: This work examines the transfer of a co-evolved communication mechanism between two robotic agents from a discrete two-dimensional (2D) simulator to a three-dimensional simulator with real physics (3D). The study focuses on whether a communication mechanism co-evolved in a 2D environment retains its functional role after transfer to a 3D physics-based simulator. To supp
Open source S2
ort this analysis, the effects of the episode time budget, the social cue, and the asymmetry between the two co-evolved roles were examined. The results indicate that the success rate increased approximately linearly with the evaluated time budgets, with no evidence of a plateau between 2,000 and 6,000 physics steps, suggesting that evaluations based on shorter episodes may underestimate the performance of the traine
Open source S3
d controllers. In both simulators, the social cue functioned primarily as a jam- assistance mechanism rather than as a navigation guide, although with a more pronounced effect in 2D. Analysis of eight independent evolutionary runs revealed a consistent direction of asymmetry, although its magnitude varied across runs. Controlling the processing order between agents allowed us to rule out an artifact of the physics en
Open source S4
Source：arXiv Robotics — research abstracts · arxiv.org