Shu'ang Yu
Orcid: 0009-0001-7398-9097
According to our database1,
Shu'ang Yu authored at least 11 papers
between 2024 and 2026.
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Bibliography
2026
RLinf-USER: A Unified and Extensible System for Real-World Online Policy Learning in Embodied AI.
CoRR, February, 2026
2025
RoboScape-R: Unified Reward-Observation World Models for Generalizable Robotics Training via RL.
CoRR, December, 2025
SAC Flow: Sample-Efficient Reinforcement Learning of Flow-Based Policies via Velocity-Reparameterized Sequential Modeling.
CoRR, September, 2025
CoRR, September, 2025
CoRR, August, 2025
FlightBench: Benchmarking Learning-Based Methods for Ego-Vision-Based Quadrotors Navigation.
IEEE Robotics Autom. Lett., July, 2025
What Matters in Learning a Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study.
IEEE Robotics Autom. Lett., July, 2025
CoRR, March, 2025
Localization Matters Too: How Localization Error Affects UAV Flight: "All Models are Wrong but Some are Useful." - George Box.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2025
2024
CoRR, 2024