Pingchuan Ma

According to our database, Pingchuan Ma authored at least 23 papers between 2018 and 2024.

Collaborative distances:

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

2024

KAN 2.0: Kolmogorov-Arnold Networks Meet Science.

Ziming Liu, Pingchuan Ma, Yixuan Wang, Wojciech Matusik, Max Tegmark

CoRR, 2024

Physically Compatible 3D Object Modeling from a Single Image.

Minghao Guo, Bohan Wang, Pingchuan Ma, Tianyuan Zhang, Crystal Elaine Owens, Chuang Gan, Joshua B. Tenenbaum, Kaiming He, Wojciech Matusik

CoRR, 2024

Neural Fluidic System Design and Control with Differentiable Simulation.

Yifei Li, Yuchen Sun, Pingchuan Ma, Eftychios Sifakis, Tao Du, Bo Zhu, Wojciech Matusik

CoRR, 2024

LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery.

Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, Zhiqing Sun, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan, Wojciech Matusik

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

ASAP: Automated Sequence Planning for Complex Robotic Assembly with Physical Feasibility.

Yunsheng Tian, Karl D. D. Willis, Bassel Al Omari, Jieliang Luo, Pingchuan Ma, Yichen Li, Farhad Javid, Edward Gu, Joshua Jacob, Shinjiro Sueda, Hui Li, Sachin Chitta, Wojciech Matusik

CoRR, 2023

How Can Large Language Models Help Humans in Design and Manufacturing?

Liane Makatura, Michael Foshey, Bohan Wang, Felix Hähnlein, Pingchuan Ma, Bolei Deng, Megan Tjandrasuwita, Andrew Spielberg, Crystal Elaine Owens, Peter Yichen Chen, Allan Zhao, Amy Zhu, Wil J. Norton, Edward Gu, Joshua Jacob, Yifei Li, Adriana Schulz, Wojciech Matusik

CoRR, 2023

DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models.

Tsun-Hsuan Johnson Wang, Juntian Zheng, Pingchuan Ma, Yilun Du, Byungchul Kim, Andrew Spielberg, Joshua B. Tenenbaum, Chuang Gan, Daniela Rus

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

Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics.

Pingchuan Ma, Peter Yichen Chen, Bolei Deng, Joshua B. Tenenbaum, Tao Du, Chuang Gan, Wojciech Matusik

Proceedings of the International Conference on Machine Learning, 2023

SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments.

Tsun-Hsuan Wang, Pingchuan Ma, Andrew Everett Spielberg, Zhou Xian, Hao Zhang, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

DiffPD: Differentiable Projective Dynamics.

Tao Du, Kui Wu, Pingchuan Ma, Sebastien Wah, Andrew Spielberg, Daniela Rus, Wojciech Matusik

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

Sim2Real for Soft Robotic Fish via Differentiable Simulation.

John Z. Zhang, Yu Zhang, Pingchuan Ma, Elvis Nava, Tao Du, Philip Arm, Wojciech Matusik, Robert K. Katzschmann

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

Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models.

Elvis Nava, John Z. Zhang, Mike Yan Michelis, Tao Du, Pingchuan Ma, Benjamin F. Grewe, Wojciech Matusik, Robert Kevin Katzschmann

Proceedings of the International Conference on Machine Learning, 2022

RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation.

Pingchuan Ma, Tao Du, Joshua B. Tenenbaum, Wojciech Matusik, Chuang Gan

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

DiffAqua: a differentiable computational design pipeline for soft underwater swimmers with shape interpolation.

Pingchuan Ma, Tao Du, John Z. Zhang, Kui Wu, Andrew Spielberg, Robert K. Katzschmann, Wojciech Matusik

ACM Trans. Graph., 2021

Learning Material Parameters and Hydrodynamics of Soft Robotic Fish via Differentiable Simulation.

John Z. Zhang, Yu Zhang, Pingchuan Ma, Elvis Nava, Tao Du, Philip Arm, Wojciech Matusik, Robert K. Katzschmann

CoRR, 2021

DiffPD: Differentiable Projective Dynamics with Contact.

Tao Du, Kui Wu, Pingchuan Ma, Sebastien Wah, Andrew Spielberg, Daniela Rus, Wojciech Matusik

CoRR, 2021

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

Efficient Continuous Pareto Exploration in Multi-Task Learning.

Pingchuan Ma, Tao Du, Wojciech Matusik

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

2019

Learning Efficient Video Representation with Video Shuffle Networks.

Pingchuan Ma, Yao Zhou, Yu Lu, Wei Zhang

CoRR, 2019

Artificial Intelligence for Prosthetics - challenge solutions.

Lukasz Kidzinski, Carmichael F. Ong, Sharada Prasanna Mohanty, Jennifer L. Hicks, Sean F. Carroll, Bo Zhou, Hong-cheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian, Wojciech Jaskowski, Garrett Andersen, Odd Rune Lykkebø, Nihat Engin Toklu, Pranav Shyam, Rupesh Kumar Srivastava, Sergey Kolesnikov, Oleksii Hrinchuk, Anton Pechenko, Mattias Ljungström, Zhen Wang, Xu Hu, Zehong Hu, Minghui Qiu, Jun Huang, Aleksei Shpilman, Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Lance Rane, Aditya Bhatt, Zhengfei Wang, Penghui Qi, Zeyang Yu, Peng Peng, Quan Yuan, Wenxin Li, Yunsheng Tian, Ruihan Yang, Pingchuan Ma, Shauharda Khadka, Somdeb Majumdar, Zach Dwiel, Yinyin Liu, Evren Tumer, Jeremy D. Watson, Marcel Salathé, Sergey Levine, Scott L. Delp

CoRR, 2019

2018

Fluid directed rigid body control using deep reinforcement learning.

Pingchuan Ma, Yunsheng Tian, Zherong Pan, Bo Ren, Dinesh Manocha

ACM Trans. Graph., 2018