Jie Xu
Jie Xu
Research Scientist at NVIDIA; Previously Ph.D. Student at MIT
Verified email at - Homepage
Cited by
Cited by
A system for general in-hand object re-orientation
T Chen, J Xu, P Agrawal
Conference on Robot Learning, 297-307, 2022
Robogrammar: graph grammar for terrain-optimized robot design
A Zhao, J Xu, M Konaković-Luković, J Hughes, A Spielberg, D Rus, ...
ACM Transactions on Graphics (TOG) 39 (6), 1-16, 2020
Prediction-guided multi-objective reinforcement learning for continuous robot control
J Xu, Y Tian, P Ma, D Rus, S Sueda, W Matusik
International conference on machine learning, 10607-10616, 2020
Interactive design space exploration and optimization for CAD models
A Schulz, J Xu, B Zhu, C Zheng, E Grinspun, W Matusik
ACM Transactions on Graphics (TOG) 36 (4), 1-14, 2017
Evolution gym: A large-scale benchmark for evolving soft robots
J Bhatia, H Jackson, Y Tian, J Xu, W Matusik
Advances in Neural Information Processing Systems 34, 2201-2214, 2021
Learning to fly: computational controller design for hybrid UAVs with reinforcement learning
J Xu, T Du, M Foshey, B Li, B Zhu, A Schulz, W Matusik
ACM Transactions on Graphics (TOG) 38 (4), 42, 2019
An End-to-End Differentiable Framework for Contact-Aware Robot Design
J Xu, T Chen, L Zlokapa, M Foshey, W Matusik, S Sueda, P Agrawal
Robotics: Science and Systems, 2021
Accelerated policy learning with parallel differentiable simulation
J Xu, V Makoviychuk, Y Narang, F Ramos, W Matusik, A Garg, M Macklin
arXiv preprint arXiv:2204.07137, 2022
Diffcloth: Differentiable cloth simulation with dry frictional contact
Y Li, T Du, K Wu, J Xu, W Matusik
ACM Transactions on Graphics (TOG) 42 (1), 1-20, 2022
Rvt: Robotic view transformer for 3d object manipulation
A Goyal, J Xu, Y Guo, V Blukis, YW Chao, D Fox
Conference on Robot Learning, 694-710, 2023
Multi-Objective Graph Heuristic Search for Terrestrial Robot Design
J Xu, A Spielberg, A Zhao, D Rus, W Matusik
IEEE International Conference on Robotics and Automation, 2021
Efficient Tactile Simulation with Differentiability for Robotic Manipulation
J Xu, S Kim, T Chen, AR Garcia, P Agrawal, W Matusik, S Sueda
6th Annual Conference on Robot Learning, 2022
Closed-loop control of direct ink writing via reinforcement learning
M Piovarci, M Foshey, J Xu, T Erps, V Babaei, P Didyk, S Rusinkiewicz, ...
arXiv preprint arXiv:2201.11819, 2022
Assemble them all: Physics-based planning for generalizable assembly by disassembly
Y Tian, J Xu, Y Li, J Luo, S Sueda, H Li, KDD Willis, W Matusik
ACM Transactions on Graphics (TOG) 41 (6), 1-11, 2022
Extracting Sharp Features from RGB‐D Images
YP Cao, T Ju, J Xu, SM Hu
Computer Graphics Forum 36 (8), 138-152, 2017
Graph grammar-based automatic design for heterogeneous fleets of underwater robots
A Zhao, J Xu, J Salazar, W Wang, P Ma, D Rus, W Matusik
2022 International Conference on Robotics and Automation (ICRA), 3143-3149, 2022
An integrated design pipeline for tactile sensing robotic manipulators
L Zlokapa, Y Luo, J Xu, M Foshey, K Wu, P Agrawal, W Matusik
2022 International Conference on Robotics and Automation (ICRA), 3136-3142, 2022
View suggestion for interactive segmentation of indoor scenes
S Yang, J Xu, K Chen, H Fu
Computational Visual Media 3, 131-146, 2017
Automatic co-design of aerial robots using a graph grammar
A Zhao, T Du, J Xu, J Hughes, J Salazar, P Ma, W Wang, D Rus, ...
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
Closed-Loop Control of Additive Manufacturing via Reinforcement Learning
M Piovarci, M Foshey, T Erps, J Xu, V Babaei, P Didyk, W Matusik, ...
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