Jie Xu

According to our database, Jie Xu authored at least 26 papers between 2017 and 2024.

Collaborative distances:

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

2024

SPOT: SE(3) Pose Trajectory Diffusion for Object-Centric Manipulation.

Cheng-Chun Hsu, Bowen Wen, Jie Xu, Yashraj S. Narang, Xiaolong Wang, Yuke Zhu, Joydeep Biswas, Stan Birchfield

CoRR, 2024

TacSL: A Library for Visuotactile Sensor Simulation and Learning.

Iretiayo Akinola, Jie Xu, Jan Carius, Dieter Fox, Yashraj S. Narang

CoRR, 2024

MeMo: Meaningful, Modular Controllers via Noise Injection.

Megan Tjandrasuwita, Jie Xu, Armando Solar-Lezama, Wojciech Matusik

CoRR, 2024

AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent.

Tongzhou Mu, Yijie Guo, Jie Xu, Ankit Goyal, Hao Su, Dieter Fox, Animesh Garg

CoRR, 2024

AutoMate: Specialist and Generalist Assembly Policies over Diverse Geometries.

Bingjie Tang, Iretiayo Akinola, Jie Xu, Bowen Wen, Ankur Handa, Karl Van Wyk, Dieter Fox, Gaurav S. Sukhatme, Fabio Ramos, Yashraj S. Narang

Proceedings of the Robotics: Science and Systems XX, 2024

RVT-2: Learning Precise Manipulation from Few Demonstrations.

Ankit Goyal, Valts Blukis, Jie Xu, Yijie Guo, Yu-Wei Chao, Dieter Fox

Proceedings of the Robotics: Science and Systems XX, 2024

Signatures meet dynamic programming: Generalizing Bellman equations for trajectory following.

Motoya Ohnishi, Iretiayo Akinola, Jie Xu, Ajay Mandlekar, Fabio Ramos

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023

DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact.

Yifei Li, Tao Du, Kui Wu, Jie Xu, Wojciech Matusik

ACM Trans. Graph., February, 2023

RVT: Robotic View Transformer for 3D Object Manipulation.

Ankit Goyal, Jie Xu, Yijie Guo, Valts Blukis, Yu-Wei Chao, Dieter Fox

Proceedings of the Conference on Robot Learning, 2023

2022

Towards Computational Design of Shape and Control for Rigid Robots

Jie Xu

PhD thesis, 2022

Assemble Them All: Physics-Based Planning for Generalizable Assembly by Disassembly.

Yunsheng Tian, Jie Xu, Yichen Li, Jieliang Luo, Shinjiro Sueda, Hui Li, Karl D. D. Willis, Wojciech Matusik

ACM Trans. Graph., 2022

Closed-loop control of direct ink writing via reinforcement learning.

Michal Piovarci, Michael Foshey, Jie Xu, Timothy Erps, Vahid Babaei, Piotr Didyk, Szymon Rusinkiewicz, Wojciech Matusik, Bernd Bickel

ACM Trans. Graph., 2022

Automatic Co-Design of Aerial Robots Using a Graph Grammar.

Allan Zhao, Tao Du, Jie Xu, Josie Hughes, Juan Salazar, Pingchuan Ma, Wei Wang, Daniela Rus, Wojciech Matusik

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

An Integrated Design Pipeline for Tactile Sensing Robotic Manipulators.

Lara Zlokapa, Yiyue Luo, Jie Xu, Michael Foshey, Kui Wu, Pulkit Agrawal, Wojciech Matusik

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Graph Grammar-Based Automatic Design for Heterogeneous Fleets of Underwater Robots.

Allan Zhao, Jie Xu, Juan Salazar, Wei Wang, Pingchuan Ma, Daniela Rus, Wojciech Matusik

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Accelerated Policy Learning with Parallel Differentiable Simulation.

Jie Xu, Viktor Makoviychuk, Yashraj S. Narang, Fabio Ramos, Wojciech Matusik, Animesh Garg, Miles Macklin

Proceedings of the Tenth International Conference on Learning Representations, 2022

Efficient Tactile Simulation with Differentiability for Robotic Manipulation.

Jie Xu, Sangwoon Kim, Tao Chen, Alberto Rodriguez Garcia, Pulkit Agrawal, Wojciech Matusik, Shinjiro Sueda

Proceedings of the Conference on Robot Learning, 2022

2021

An End-to-End Differentiable Framework for Contact-Aware Robot Design.

Jie Xu, Tao Chen, Lara Zlokapa, Michael Foshey, Wojciech Matusik, Shinjiro Sueda, Pulkit Agrawal

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots.

Jagdeep Singh Bhatia, Holly Jackson, Yunsheng Tian, Jie Xu, Wojciech Matusik

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-Objective Graph Heuristic Search for Terrestrial Robot Design.

Jie Xu, Andrew Spielberg, Allan Zhao, Daniela Rus, Wojciech Matusik

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

A System for General In-Hand Object Re-Orientation.

Tao Chen, Jie Xu, Pulkit Agrawal

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

RoboGrammar: graph grammar for terrain-optimized robot design.

Allan Zhao, Jie Xu, Mina Konakovic-Lukovic, Josephine Hughes, Andrew Spielberg, Daniela Rus, Wojciech Matusik

ACM Trans. Graph., 2020

Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control.

Jie Xu, Yunsheng Tian, Pingchuan Ma, Daniela Rus, Shinjiro Sueda, Wojciech Matusik

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Learning to fly: computational controller design for hybrid UAVs with reinforcement learning.

Jie Xu, Tao Du, Michael Foshey, Beichen Li, Bo Zhu, Adriana Schulz, Wojciech Matusik

ACM Trans. Graph., 2019

2017

Interactive design space exploration and optimization for CAD models.

Adriana Schulz, Jie Xu, Bo Zhu, Changxi Zheng, Eitan Grinspun, Wojciech Matusik

ACM Trans. Graph., 2017

View suggestion for interactive segmentation of indoor scenes.

Sheng Yang, Jie Xu, Kang Chen, Hongbo Fu

Comput. Vis. Media, 2017