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FinsSim: A Reality-Aligned Integrated Simulation Platform for Underwater Robot Learning

US & West · yesterday

arXiv:2609.23943v1 Announce Type: cross Abstract: Underwater robot learning relies on simulators that integrate high-fidelity hydrodynamics, convenient learning interfaces, and a credible transition to real scenarios.

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Original headline: FinsSim: A Reality-Aligned Integrated Simulation Platform for Underwater Robot Learning

Read the original: arXiv — Systems and Control (eess.SY)

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FinsSim: A Reality-Aligned Integrated Simulation Platform for Underwater Robot Learning

Relevant to DT products

Related

Physics-Informed Neural Network Surrogates with Polynomial Chaos-Based Uncertainty Propagation for Stochastic Model Predictive Control

Energy-based Regularization for Learning Residual Dynamics in Neural MPC for Omnidirectional Aerial Robots

SocioVerse2: A Longitudinal Dynamic Social Simulation Framework under a Human-AI Co-evolutionary Paradigm