Mingxi Jia

17 papers A* 3C 1Misc 2Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Accelerating Residual Reinforcement Learning With Uncertainty Estimation.
IEEE Robotics Autom. Lett.
Lakshita Dodeja, Karl Schmeckpeper, Shivam Vats, Thomas Weng, Mingxi Jia, George Konidaris, Stefanie Tellex
2025 J jnl
Accelerating Residual Reinforcement Learning with Uncertainty Estimation.
CoRR
Lakshita Dodeja, Karl Schmeckpeper, Shivam Vats, Thomas Weng, Mingxi Jia, George Konidaris, Stefanie Tellex
2025 J jnl
Learning Efficient and Robust Language-Conditioned Manipulation Using Textual-Visual Relevancy and Equivariant Language Mapping.
IEEE Robotics Autom. Lett.
Mingxi Jia, Haojie Huang, Zhewen Zhang, Chenghao Wang, Linfeng Zhao, Dian Wang, Jason Xinyu Liu, Robin Walters, Robert Platt, Stefanie Tellex
2025 J jnl
Optimal Interactive Learning on the Job via Facility Location Planning.
CoRR
Shivam Vats, Michelle Zhao, Patrick Callaghan, Mingxi Jia, Maxim Likhachev, Oliver Kroemer, George Dimitri Konidaris
2025 J jnl
Self-Adapting Improvement Loops for Robotic Learning.
CoRR
Calvin Luo, Zilai Zeng, Mingxi Jia, Yilun Du, Chen Sun
2025 J jnl
V-HOP: Visuo-Haptic 6D Object Pose Tracking.
CoRR
Hongyu Li, Mingxi Jia, Tuluhan Akbulut, Yu Xiang, George Konidaris, Srinath Sridhar
2024 Misc conf
IMAGINATION POLICY: Using Generative Point Cloud Models for Learning Manipulation Policies.
CoRL
Haojie Huang, Karl Schmeckpeper, Dian Wang, Ondrej Biza, Yaoyao Qian, Haotian Liu, Mingxi Jia, Robert Platt, Robin Walters
2024 J jnl
Imagination Policy: Using Generative Point Cloud Models for Learning Manipulation Policies.
CoRR
Haojie Huang, Karl Schmeckpeper, Dian Wang, Ondrej Biza, Yaoyao Qian, Haotian Liu, Mingxi Jia, Robert Platt, Robin Walters
2024 J jnl
Open-vocabulary Pick and Place via Patch-level Semantic Maps.
CoRR
Mingxi Jia, Haojie Huang, Zhewen Zhang, Chenghao Wang, Linfeng Zhao, Dian Wang, Jason Xinyu Liu, Robin Walters, Robert Platt, Stefanie Tellex
2024 A* conf
Skill Transfer for Temporal Task Specification.
ICRA
Jason Xinyu Liu, Ankit Shah, Eric Rosen, Mingxi Jia, George Konidaris, Stefanie Tellex
2023 A* conf
A General Theory of Correct, Incorrect, and Extrinsic Equivariance.
NeurIPS
Dian Wang, Xupeng Zhu, Jung Yeon Park, Mingxi Jia, Guanang Su, Robert Platt, Robin Walters
2023 A* conf
SEIL: Simulation-augmented Equivariant Imitation Learning.
ICRA
Mingxi Jia, Dian Wang, Guanang Su, David Klee, Xupeng Zhu, Robin Walters, Robert Platt
2022 C conf
BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework.
ISRR
Dian Wang, Colin Kohler, Xupeng Zhu, Mingxi Jia, Robert Platt
2022 J jnl
BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework.
CoRR
Dian Wang, Colin Kohler, Xupeng Zhu, Mingxi Jia, Robert Platt
2022 Misc conf
On-Robot Learning With Equivariant Models.
CoRL
Dian Wang, Mingxi Jia, Xupeng Zhu, Robin Walters, Robert Platt
2022 J jnl
On-Robot Policy Learning with O(2)-Equivariant SAC.
CoRR
Dian Wang, Mingxi Jia, Xupeng Zhu, Robin Walters, Robert Platt
2022 J jnl
SEIL: Simulation-augmented Equivariant Imitation Learning.
CoRR
Mingxi Jia, Dian Wang, Guanang Su, David Klee, Xupeng Zhu, Robin Walters, Robert Platt