A robotic fish learns goal-directed policies in simulation and interacts with live fish to quantify how well different behavioral models match real responses using Wasserstein distances on performance metrics.
All policies showed highly significant sim-to-real differences (all๐ <0.01)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Robots that learn to evaluate models of collective behavior
A robotic fish learns goal-directed policies in simulation and interacts with live fish to quantify how well different behavioral models match real responses using Wasserstein distances on performance metrics.