GaussFly decouples representation learning from policy optimization via 3D Gaussian Splatting reconstruction and contrastive features to achieve superior sample efficiency and zero-shot sim-to-real transfer for AAV visuomotor policies.
Grad-nav: Efficiently learning visual drone navigation with gaussian radiance fields and differentiable dynamics
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GRaD-Nav++ combines 3D Gaussian Splatting simulation and differentiable RL to train an onboard VLA policy that achieves 50-83% success on language-guided drone navigation tasks in simulation and real hardware.
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GaussFly: Contrastive Reinforcement Learning for Visuomotor Policies in 3D Gaussian Fields
GaussFly decouples representation learning from policy optimization via 3D Gaussian Splatting reconstruction and contrastive features to achieve superior sample efficiency and zero-shot sim-to-real transfer for AAV visuomotor policies.
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GRaD-Nav++: Vision-Language Model Enabled Visual Drone Navigation with Gaussian Radiance Fields and Differentiable Dynamics
GRaD-Nav++ combines 3D Gaussian Splatting simulation and differentiable RL to train an onboard VLA policy that achieves 50-83% success on language-guided drone navigation tasks in simulation and real hardware.