Zhou Xian

According to our database, Zhou Xian authored at least 19 papers between 2019 and 2024.

Collaborative distances:

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

2024

Gen2Sim: Scaling up Robot Learning in Simulation with Generative Models.

Pushkal Katara, Zhou Xian, Katerina Fragkiadaki

Proceedings of the IEEE International Conference on Robotics and Automation, 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

Thin-Shell Object Manipulations With Differentiable Physics Simulations.

Yian Wang, Juntian Zheng, Zhehuan Chen, Zhou Xian, Gu Zhang, Chao Liu, Chuang Gan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DIFFTACTILE: A Physics-based Differentiable Tactile Simulator for Contact-rich Robotic Manipulation.

Zilin Si, Gu Zhang, Qingwei Ben, Branden Romero, Zhou Xian, Chao Liu, Chuang Gan

Proceedings of the Twelfth International Conference on Learning Representations, 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

Act3D: Infinite Resolution Action Detection Transformer for Robotic Manipulation.

Théophile Gervet, Zhou Xian, Nikolaos Gkanatsios, Katerina Fragkiadaki

CoRR, 2023

Towards A Foundation Model for Generalist Robots: Diverse Skill Learning at Scale via Automated Task and Scene Generation.

Zhou Xian, Théophile Gervet, Zhenjia Xu, Yi-Ling Qiao, Tsun-Hsuan Wang

CoRR, 2023

Energy-based Models as Zero-Shot Planners for Compositional Scene Rearrangement.

Nikolaos Gkanatsios, Ayush Jain, Zhou Xian, Yunchu Zhang, Christopher G. Atkeson, Katerina Fragkiadaki

CoRR, 2023

RoboNinja: Learning an Adaptive Cutting Policy for Multi-Material Objects.

Zhenjia Xu, Zhou Xian, Xingyu Lin, Cheng Chi, Zhiao Huang, Chuang Gan, Shuran Song

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

Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement.

Nikolaos Gkanatsios, Ayush Jain, Zhou Xian, Yunchu Zhang, Christopher G. Atkeson, Katerina Fragkiadaki

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

FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation.

Zhou Xian, Bo Zhu, Zhenjia Xu, Hsiao-Yu Tung, Antonio Torralba, Katerina Fragkiadaki, Chuang Gan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments.

Tsun-Hsuan Wang, Pingchuan Ma, Andrew Everett Spielberg, Zhou Xian, Hao Zhang, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

ChainedDiffuser: Unifying Trajectory Diffusion and Keypose Prediction for Robotic Manipulation.

Zhou Xian, Nikolaos Gkanatsios, Théophile Gervet, Tsung-Wei Ke, Katerina Fragkiadaki

Proceedings of the Conference on Robot Learning, 2023

Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation.

Théophile Gervet, Zhou Xian, Nikolaos Gkanatsios, Katerina Fragkiadaki

Proceedings of the Conference on Robot Learning, 2023

2021

HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks.

Zhou Xian, Shamit Lal, Hsiao-Yu Tung, Emmanouil Antonios Platanios, Katerina Fragkiadaki

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Research on visualization planning method of distribution network based on graphical model integration.

Huang He, Zhou Xian, Guo Liang, Chang Hao, Ma Ning

Proceedings of the 16th International Conference on Mobility, Sensing and Networking, 2020

3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators.

Hsiao-Yu Tung, Zhou Xian, Mihir Prabhudesai, Shamit Lal, Katerina Fragkiadaki

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Domain Randomization for Macromolecule Structure Classification and Segmentation in Electron Cyro-tomograms.

Chengqian Che, Zhou Xian, Xiangrui Zeng, Xin Gao, Min Xu

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019