Mingxi Jia

According to our database, Mingxi Jia authored at least 13 papers between 2022 and 2025.

Collaborative distances:

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

2025

Learning Efficient and Robust Language-Conditioned Manipulation Using Textual-Visual Relevancy and Equivariant Language Mapping.

Mingxi Jia, Haojie Huang, Zhewen Zhang, Chenghao Wang, Linfeng Zhao, Dian Wang, Jason Xinyu Liu, Robin Walters, Robert Platt, Stefanie Tellex

IEEE Robotics Autom. Lett., August, 2025

Accelerating Residual Reinforcement Learning with Uncertainty Estimation.

Lakshita Dodeja, Karl Schmeckpeper, Shivam Vats, Thomas Weng, Mingxi Jia, George Konidaris, Stefanie Tellex

CoRR, June, 2025

Self-Adapting Improvement Loops for Robotic Learning.

Calvin Luo, Zilai Zeng, Mingxi Jia, Yilun Du, Chen Sun

CoRR, June, 2025

Optimal Interactive Learning on the Job via Facility Location Planning.

Shivam Vats, Michelle Zhao, Patrick Callaghan, Mingxi Jia, Maxim Likhachev, Oliver Kroemer, George Dimitri Konidaris

CoRR, May, 2025

V-HOP: Visuo-Haptic 6D Object Pose Tracking.

Hongyu Li, Mingxi Jia, Tuluhan Akbulut, Yu Xiang, George Konidaris, Srinath Sridhar

CoRR, February, 2025

2024

Open-vocabulary Pick and Place via Patch-level Semantic Maps.

Mingxi Jia, Haojie Huang, Zhewen Zhang, Chenghao Wang, Linfeng Zhao, Dian Wang, Jason Xinyu Liu, Robin Walters, Robert Platt, Stefanie Tellex

CoRR, 2024

Skill Transfer for Temporal Task Specification.

Jason Xinyu Liu, Ankit Shah, Eric Rosen, Mingxi Jia, George Konidaris, Stefanie Tellex

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

IMAGINATION POLICY: Using Generative Point Cloud Models for Learning Manipulation Policies.

Haojie Huang, Karl Schmeckpeper, Dian Wang, Ondrej Biza, Yaoyao Qian, Haotian Liu, Mingxi Jia, Robert Platt, Robin Walters

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

A General Theory of Correct, Incorrect, and Extrinsic Equivariance.

Dian Wang, Xupeng Zhu, Jung Yeon Park, Mingxi Jia, Guanang Su, Robert Platt, Robin Walters

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SEIL: Simulation-augmented Equivariant Imitation Learning.

Mingxi Jia, Dian Wang, Guanang Su, David Klee, Xupeng Zhu, Robin Walters, Robert Platt

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

2022

On-Robot Policy Learning with O(2)-Equivariant SAC.

Dian Wang, Mingxi Jia, Xupeng Zhu, Robin Walters, Robert Platt

CoRR, 2022

BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework.

Dian Wang, Colin Kohler, Xupeng Zhu, Mingxi Jia, Robert Platt

Proceedings of the Robotics Research, 2022

On-Robot Learning With Equivariant Models.

Dian Wang, Mingxi Jia, Xupeng Zhu, Robin Walters, Robert Platt

Proceedings of the Conference on Robot Learning, 2022