SOURCE-LINKED INTELLIGENCE
FinsSim: A Reality-Aligned Integrated Simulation Platform for Underwater Robot Learning
Underwater robot learning relies on simulators that integrate high-fidelity hydrodynamics, convenient learning interfaces, and a credible transition to real scenarios. In this work, we present FinsSim, a reality-aligned integrated simulation platform for Sim-to-Real underwater robot learning. FinsSim first constructs high-fidelity simulation with selectable backends to adapt to diverse requirements. To facilitate underwater robot research, it further offers standard control baselines, alongside with unified robot learning workflows. For reliable Sim-to-Real transfer, FinsSim adopts a multi-sen
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-20T23:38:56.000Z
First collected: 2026-09-23T09:51:33.063Z. This is not the publication date.