Null Space Based Efficient Reinforcement Learning with Hierarchical Safety Constraints. - Quantao Yang; Johannes A. Stork; Todor Stoyanov (ECMR, 2021)

Transferring Knowledge for Reinforcement Learning in Contact-Rich Manipulation. - Quantao Yang; Johannes A. Stork; Todor Stoyanov (CoRR, 2022)

Variable Impedance Skill Learning for Contact-Rich Manipulation. - Quantao Yang; Alexander Dürr; Elin Anna Topp; Johannes A. Stork; Todor Stoyanov (IEEE Robotics Autom. Lett., 2022)

MPR-RL: Multi-Prior Regularized Reinforcement Learning for Knowledge Transfer. - Quantao Yang; Johannes A. Stork; Todor Stoyanov (IEEE Robotics Autom. Lett., 2022)

Learn from Robot: Transferring Skills for Diverse Manipulation via Cycle Generative Networks. - Quantao Yang; Johannes A. Stork; Todor Stoyanov (CASE, 2023)

One Map to Find Them All: Real-time Open-Vocabulary Mapping for Zero-shot Multi-Object Navigation. - Finn Lukas Busch; Timon Homberger; Jesús Ortega-Peimbert; Quantao Yang; Olov Andersson (CoRR, 2024)

PRIME: Scaffolding Manipulation Tasks With Behavior Primitives for Data-Efficient Imitation Learning. - Tian Gao; Soroush Nasiriany; Huihan Liu; Quantao Yang; Yuke Zhu (IEEE Robotics Autom. Lett., 2024)

S2-Diffusion: Generalizing from Instance-level to Category-level Skills in Robot Manipulation. - Quantao Yang; Michael C. Welle; Danica Kragic; Olov Andersson (CoRR, 2025)

Diffusion Trajectory-guided Policy for Long-horizon Robot Manipulation. - Shichao Fan; Quantao Yang; Yajie Liu; Kun Wu 001; Zhengping Che; Qingjie Liu 001; Min Wan (CoRR, 2025)

ViSA-Flow: Accelerating Robot Skill Learning via Large-Scale Video Semantic Action Flow. - Changhe Chen; Quantao Yang; Xiaohao Xu; Nima Fazeli; Olov Andersson (CoRR, 2025)