An end-to-end RL policy trained via high-fidelity differentiable simulation maps depth images straight to bodyrate commands, achieving top success rates, low jerk, and zero-shot real-world generalization up to 7.5 m/s in dense environments.
VisFly: An Efficient and Versatile Simulator for Training Vision-based Flight
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.RO 2years
2026 2representative citing papers
Proposes a hierarchical navigation framework with viewpoint-aware action nodes, cross-graph memory, and learning-based policy for quadrotor InstanceImageNav, claiming improvements over baselines in simulation and real-world validation.
citing papers explorer
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Simple but Stable, Fast and Safe: Achieve End-to-end Control by High-Fidelity Differentiable Simulation
An end-to-end RL policy trained via high-fidelity differentiable simulation maps depth images straight to bodyrate commands, achieving top success rates, low jerk, and zero-shot real-world generalization up to 7.5 m/s in dense environments.
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Flying to Image-Specified Objects: 3D Quadrotor Navigation via Cross-Graph Memory and Viewpoint Planning
Proposes a hierarchical navigation framework with viewpoint-aware action nodes, cross-graph memory, and learning-based policy for quadrotor InstanceImageNav, claiming improvements over baselines in simulation and real-world validation.