Zhenjia Xu

Orcid: 0000-0002-8217-4818

According to our database1, Zhenjia Xu authored at least 16 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots.
CoRR, 2024

2023
Towards A Foundation Model for Generalist Robots: Diverse Skill Learning at Scale via Automated Task and Scene Generation.
CoRR, 2023

RoboNinja: Learning an Adaptive Cutting Policy for Multi-Material Objects.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Diffusion Policy: Visuomotor Policy Learning via Action Diffusion.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

XSkill: Cross Embodiment Skill Discovery.
Proceedings of the Conference on Robot Learning, 2023

Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners.
Proceedings of the Conference on Robot Learning, 2023

Radar Spectrum Coexistence Waveform Design with Multiple Waveform Constraints.
Proceedings of the 8th International Conference on Computer and Communication Systems, 2023

2022
Universal Manipulation Policy Network for Articulated Objects.
IEEE Robotics Autom. Lett., 2022

DextAIRity: Deformable Manipulation Can be a Breeze.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard Environment.
Proceedings of the Conference on Robot Learning, 2022

2021
UMPNet: Universal Manipulation Policy Network for Articulated Objects.
CoRR, 2021

AdaGrasp: Learning an Adaptive Gripper-Aware Grasping Policy.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Learning 3D Dynamic Scene Representations for Robot Manipulation.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
DensePhysNet: Learning Dense Physical Object Representations Via Multi-Step Dynamic Interactions.
Proceedings of the Robotics: Science and Systems XV, 2019

Unsupervised Discovery of Parts, Structure, and Dynamics.
Proceedings of the 7th International Conference on Learning Representations, 2019


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