Jie Xu ![](/sites/default/files/person/IMG_4528%20%282%29.jpg) Jie Xu is a Research Scientist in [Seattle Robotics Lab](https://research.nvidia.com/labs/srl/), NVIDIA Research. His research mainly focuses on the intersection of Robotics, Machine Learning, and Computer Graphics. Prior to NVIDIA, he received his Ph.D. degree in Computer Science in 2022 at MIT CSAIL in the [Computational Design and Fabrication Group (CDFG)](http://cdfg.csail.mit.edu/) and obtained his bachelor's degree from the Department of Computer Science and Technology at Tsinghua University with honors in 2016. [Personal Homepage](http://people.csail.mit.edu/jiex/) Research Area(s) [Artificial Intelligence and Machine Learning ](/index.php/research-area/machine-learning-artificial-intelligence) [Computer Graphics](/index.php/research-area/computer-graphics) [Robotics](/index.php/research-area/robotics) Main Field of Interest [Robotics](/index.php/research-area/robotics) Google Scholar [https://scholar.google.com/citations?user=3Tj5lWEAAAAJ&hl=en](https://scholar.google.com/citations?user=3Tj5lWEAAAAJ&hl=en) ### Publications ### 2025 [ACGD: Visual Multitask Policy Learning with Asymmetric Critic Guided Distillation](/index.php/publication/2025-10_acgd-visual-multitask-policy-learning-asymmetric-critic-guided-distillation) Krishnan Srinivasan, [Jie Xu](/index.php/person/jie-xu), Henry Ang, Eric Heiden, Dieter Fox, Jeannette Bohg, Animesh Garg [IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2025](https://www.iros25.org/) [Neural Robot Dynamics](/publication/2025-09_neural-robot-dynamics) [Jie Xu](/person/jie-xu), Eric Heiden, [Iretiayo Akinola](/person/iretiayo-akinola), Dieter Fox, Miles Macklin, [Yashraj Narang](/person/yashraj-narang) [Conference on Robot Learning (CoRL) 2025](https://www.corl.org/) [VT-Refine: Learning Bimanual Assembly with Visuo-Tactile Feedback via Simulation Fine-Tuning](/publication/2025-09_vt-refine-learning-bimanual-assembly-visuo-tactile-feedback-simulation-fine) Binghao Huang, [Jie Xu](/person/jie-xu), [Iretiayo Akinola](/person/iretiayo-akinola), [Wei Yang](/person/wei-yang), [Balakumar Sundaralingam](/person/balakumar-sundaralingam), [Rowland O'Flaherty](/person/rowland-oflaherty), Dieter Fox, Xiaolong Wang, Arsalan Mousavian, [Yu-Wei Chao](/person/yu-wei-chao), Yunzhu Li [Conference on Robot Learning (CoRL) 2025](https://www.corl.org) [SPOT: SE(3) Pose Trajectory Diffusion for Object-Centric Manipulation](/index.php/publication/2025-05_spot-se3-pose-trajectory-diffusion-object-centric-manipulation) Cheng-Chun Hsu, [Bowen Wen](/index.php/person/bowen-wen), [Jie Xu](/index.php/person/jie-xu), [Yashraj Narang](/index.php/person/yashraj-narang), , [Yuke Zhu](/index.php/person/yuke-zhu), Joydeep Biswas, [Stan Birchfield](/index.php/person/stan-birchfield) [ICRA 2025](https://2025.ieee-icra.org/) [TacSL: A Library for Visuotactile Sensor Simulation and Learning](/publication/2025-01_tacsl-library-visuotactile-sensor-simulation-and-learning) [Iretiayo Akinola](/person/iretiayo-akinola), [Jie Xu](/person/jie-xu), Jan Carius, Dieter Fox, [Yashraj Narang](/person/yashraj-narang) [IEEE Transactions on Robotics (T-RO)](https://www.ieee-ras.org/publications/t-ro) ### 2024 [AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent](/publication/2024-12_adademo-data-efficient-demonstration-expansion-generalist-robotic-agent) Tongzhou Mu, [Yijie Guo](/person/yijie-guo), [Jie Xu](/person/jie-xu), [Ankit Goyal](/person/ankit-goyal), Hao Su, Dieter Fox, Animesh Garg [The International Foundation of Robotics Research (ISRR) 2024](https://isrr2024.su.domains/) [Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation](/publication/2024-07_adaptive-horizon-actor-critic-policy-learning-contact-rich-differentiable) Ignat Georgiev, Krishnan Srinivasan, [Jie Xu](/person/jie-xu), Eric Heiden, Animesh Garg [The Forty-First International Conference on Machine Learning (ICML) 2024](https://icml.cc/Conferences/2024) [RVT-2: Learning Precise Manipulation from Few Examples](/publication/2024-07_rvt-2-learning-precise-manipulation-few-examples) [Ankit Goyal](/person/ankit-goyal), [Valts Blukis](/person/valts-blukis), [Jie Xu](/person/jie-xu), [Yijie Guo](/person/yijie-guo), [Yu-Wei Chao](/person/yu-wei-chao), Dieter Fox [Robotics: Science and Systems (RSS) 2024](https://roboticsconference.org/) [Signatures Meet Dynamic Programming: Generalizing Bellman Equations for Trajectory Following](/publication/2024-07_signatures-meet-dynamic-programming-generalizing-bellman-equations-trajectory) Motoya Ohnishi, [Iretiayo Akinola](/person/iretiayo-akinola), [Jie Xu](/person/jie-xu), [Ajay Mandlekar](/person/ajay-mandlekar), [Fabio Ramos](/person/fabio-ramos) [6th Annual Learning for Dynamics & Control Conference (L4DC) 2024](https://l4dc.web.ox.ac.uk/home) [AutoMate: Specialist and Generalist Assembly Policies over Diverse Geometries](/publication/2024-07_automate-specialist-and-generalist-assembly-policies-over-diverse-geometries) Bingjie Tang, [Iretiayo Akinola](/person/iretiayo-akinola), [Jie Xu](/person/jie-xu), [Bowen Wen](/person/bowen-wen), Ankur Handa, Karl Van Wyk, Dieter Fox, Gaurav S. Sukhatme, [Fabio Ramos](/person/fabio-ramos), [Yashraj Narang](/person/yashraj-narang) [Robotics: Science and Systems (RSS) 2024](https://roboticsconference.org/2024/) ### 2023 [RVT: Robotic View Transformer for 3D Object Manipulation](/publication/2023-11_rvt-robotic-view-transformer-3d-object-manipulation) [Ankit Goyal](/person/ankit-goyal), [Jie Xu](/person/jie-xu), [Yijie Guo](/person/yijie-guo), [Valts Blukis](/person/valts-blukis), [Yu-Wei Chao](/person/yu-wei-chao), Dieter Fox [Conference on Robot Learning (CoRL) 2023](https://www.corl2023.org) ### 2022 [Accelerated Policy Learning with Parallel Differentiable Simulation](/publication/2022-05_accelerated-policy-learning-parallel-differentiable-simulation) [Jie Xu](/person/jie-xu), Viktor Makoviychuk, [Yashraj Narang](/person/yashraj-narang), [Fabio Ramos](/person/fabio-ramos), Wojciech Matusik, Animesh Garg, Miles Macklin [International Conference on Learning Representations (ICLR) 2022](https://iclr.cc/Conferences/2022)