Yufei Wang

According to our database, Yufei Wang authored at least 21 papers between 2020 and 2025.

Collaborative distances:

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

2025

ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation.

Yufei Wang, Ziyu Wang, Mino Nakura, Pratik Bhowal, Chia-Liang Kuo, Yi-Ting Chen, Zackory Erickson, David Held

CoRR, March, 2025

Articulate AnyMesh: Open-Vocabulary 3D Articulated Objects Modeling.

Xiaowen Qiu, Jincheng Yang, Yian Wang, Zhehuan Chen, Yufei Wang, Tsun-Hsuan Wang, Zhou Xian, Chuang Gan

CoRR, February, 2025

Unfolding the Literature: A Review of Robotic Cloth Manipulation.

Alberta Longhini, Yufei Wang, Irene Garcia-Camacho, David Blanco-Mulero, Marco Moletta, Michael C. Welle, Guillem Alenyà, Hang Yin, Zackory Erickson, David Held, Júlia Borràs, Danica Kragic

Annu. Rev. Control. Robotics Auton. Syst., 2025

2024

Force-Constrained Visual Policy: Safe Robot-Assisted Dressing via Multi-Modal Sensing.

Zhanyi Sun, Yufei Wang, David Held, Zackory Erickson

IEEE Robotics Autom. Lett., May, 2024

Real-World Offline Reinforcement Learning from Vision Language Model Feedback.

Sreyas Venkataraman, Yufei Wang, Ziyu Wang, Zackory Erickson, David Held

CoRR, 2024

DiffTOP: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning.

Weikang Wan, Yufei Wang, Zackory Erickson, David Held

CoRR, 2024

Architect: Generating Vivid and Interactive 3D Scenes with Hierarchical 2D Inpainting.

Yian Wang, Xiaowen Qiu, Jiageng Liu, Zhehuan Chen, Jiting Cai, Yufei Wang, Tsun-Hsuan Johnson Wang, Zhou Xian, Chuang Gan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning.

Weikang Wan, Ziyu Wang, Yufei Wang, Zackory Erickson, David Held

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation.

Yufei Wang, Zhou Xian, Feng Chen, Tsun-Hsuan Wang, Yian Wang, Katerina Fragkiadaki, Zackory Erickson, David Held, Chuang Gan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback.

Yufei Wang, Zhanyi Sun, Jesse Zhang, Zhou Xian, Erdem Biyik, David Held, Zackory Erickson

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation.

Yufei Wang, Zhou Xian, Feng Chen, Tsun-Hsuan Wang, Yian Wang, Zackory Erickson, David Held, Chuang Gan

CoRR, 2023

One Policy to Dress Them All: Learning to Dress People with Diverse Poses and Garments.

Yufei Wang, Zhanyi Sun, Zackory Erickson, David Held

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Elastic Context: Encoding Elasticity for Data-driven Models of Textiles Elastic Context: Encoding Elasticity for Data-driven Models of Textiles.

Alberta Longhini, Marco Moletta, Alfredo Reichlin, Michael C. Welle, Alexander Kravberg, Yufei Wang, David Held, Zackory Erickson, Danica Kragic

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Visual Haptic Reasoning: Estimating Contact Forces by Observing Deformable Object Interactions.

Yufei Wang, David Held, Zackory Erickson

IEEE Robotics Autom. Lett., 2022

Elastic Context: Encoding Elasticity for Data-driven Models of Textiles.

Alberta Longhini, Marco Moletta, Alfredo Reichlin, Michael C. Welle, Alexander Kravberg, Yufei Wang, David Held, Zackory Erickson, Danica Kragic

CoRR, 2022

ToolFlowNet: Robotic Manipulation with Tools via Predicting Tool Flow from Point Clouds.

Daniel Seita, Yufei Wang, Sarthak J. Shetty, Edward Yao Li, Zackory Erickson, David Held

Proceedings of the Conference on Robot Learning, 2022

2021

Learning Visible Connectivity Dynamics for Cloth Smoothing.

Xingyu Lin, Yufei Wang, David Held

CoRR, 2021

FabricFlowNet: Bimanual Cloth Manipulation with a Flow-based Policy.

Thomas Weng, Sujay Man Bajracharya, Yufei Wang, Khush Agrawal, David Held

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Learning Visible Connectivity Dynamics for Cloth Smoothing.

Xingyu Lin, Yufei Wang, Zixuan Huang, David Held

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning.

Yufei Wang, Gautham Narayan Narasimhan, Xingyu Lin, Brian Okorn, David Held

Proceedings of the 4th Conference on Robot Learning, 2020

SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation.

Xingyu Lin, Yufei Wang, Jake Olkin, David Held

Proceedings of the 4th Conference on Robot Learning, 2020