Quantao Yang

According to our database, Quantao Yang authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

S$^{2}$-Diffusion: Generalizing From Instance-Level to Category-Level Skills in Robot Manipulation.

Quantao Yang, Michael C. Welle, Danica Kragic, Olov Andersson

IEEE Robotics Autom. Lett., December, 2025

Diffusion Trajectory-Guided Policy for Long-Horizon Robot Manipulation.

Shichao Fan, Quantao Yang, Yajie Liu, Kun Wu, Zhengping Che, Qingjie Liu, Min Wan

IEEE Robotics Autom. Lett., December, 2025

DIV-Nav: Open-Vocabulary Spatial Relationships for Multi-Object Navigation.

Jesús Ortega-Peimbert, Finn Lukas Busch, Timon Homberger, Quantao Yang, Olov Andersson

CoRR, October, 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, May, 2025

S²-Diffusion: Generalizing from Instance-level to Category-level Skills in Robot Manipulation.

Quantao Yang, Michael C. Welle, Danica Kragic, Olov Andersson

CoRR, February, 2025

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

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., October, 2024

2023

Learn from Robot: Transferring Skills for Diverse Manipulation via Cycle Generative Networks.

Quantao Yang, Johannes A. Stork, Todor Stoyanov

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022

MPR-RL: Multi-Prior Regularized Reinforcement Learning for Knowledge Transfer.

Quantao Yang, Johannes A. Stork, Todor Stoyanov

IEEE Robotics Autom. Lett., 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

Transferring Knowledge for Reinforcement Learning in Contact-Rich Manipulation.

Quantao Yang, Johannes A. Stork, Todor Stoyanov

CoRR, 2022

2021

Null Space Based Efficient Reinforcement Learning with Hierarchical Safety Constraints.

Quantao Yang, Johannes A. Stork, Todor Stoyanov

Proceedings of the 10th European Conference on Mobile Robots, 2021