Shu'ang Yu

Orcid: 0009-0001-7398-9097

According to our database1, Shu'ang Yu authored at least 11 papers between 2024 and 2026.

Collaborative distances:

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

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

JuggleRL: Mastering Ball Juggling with a Quadrotor via Deep Reinforcement Learning.
CoRR, September, 2025

D3P: Dynamic Denoising Diffusion Policy via Reinforcement Learning.
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

Multi-Robot System for Cooperative Exploration in Unknown Environments: A Survey.
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
FlightBench: A Comprehensive Benchmark of Spatial Planning Methods for Quadrotors.
CoRR, 2024

Localization matters too: How localization error affects UAV flight.
CoRR, 2024


  Loading...