| 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 | 136 | 2020 |
| DiffPD: Differentiable Projective Dynamics T Du, K Wu, P Ma, S Wah, A Spielberg, D Rus, W Matusik ACM Transactions on Graphics (TOG) 41 (2), 1-21, 2021 | 94 | 2021 |
| Efficient Continuous Pareto Exploration in Multi-Task Learning P Ma, T Du, W Matusik International Conference on Machine Learning, 6522-6531, 2020 | 90 | 2020 |
| Fluid Directed Rigid Body Control using Deep Reinforcement Learning P Ma, Y Tian, Z Pan, B Ren, D Manocha ACM Transactions on Graphics (TOG) 37 (4), 1-11, 2018 | 83 | 2018 |
| DiffAqua: A Differentiable Computational Design Pipeline for Soft Underwater Swimmers with Shape Interpolation P Ma, T Du, JZ Zhang, K Wu, A Spielberg, RK Katzschmann, W Matusik ACM Transactions on Graphics (TOG) 40 (4), 1-14, 2021 | 67 | 2021 |
| Artificial intelligence for prosthetics: Challenge solutions Ł Kidziński, C Ong, SP Mohanty, J Hicks, S Carroll, B Zhou, H Zeng, ... The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2020 | 47 | 2020 |
| How Can Large Language Models Help Humans in Design and Manufacturing? L Makatura, M Foshey, B Wang, F HähnLein, P Ma, B Deng, ... arXiv preprint arXiv:2307.14377, 2023 | 27 | 2023 |
| RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation P Ma, T Du, JB Tenenbaum, W Matusik, C Gan International Conference on Learning Representations, 2021 | 20 | 2021 |
| Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics P Ma, PY Chen, B Deng, JB Tenenbaum, T Du, C Gan, W Matusik International Conference on Machine Learning, 23279-23300, 2023 | 19 | 2023 |
| SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments TH Wang, P Ma, AE Spielberg, Z Xian, H Zhang, JB Tenenbaum, D Rus, ... International Conference on Learning Representations, 2023 | 17 | 2023 |
| Sim2Real for Soft Robotic Fish via Differentiable Simulation JZ Zhang, Y Zhang, P Ma, E Nava, T Du, P Arm, W Matusik, ... 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 17 | 2022 |
| Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models E Nava, JZ Zhang, MY Michelis, T Du, P Ma, BF Grewe, W Matusik, ... International Conference on Machine Learning, 16413-16427, 2022 | 11 | 2022 |
| 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 | 10 | 2022 |
| Learning Efficient Video Representation with Video Shuffle Networks P Ma, Y Zhou, Y Lu, W Zhang arXiv preprint arXiv:1911.11319, 2019 | 7 | 2019 |
| DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models THJ Wang, J Zheng, P Ma, Y Du, B Kim, A Spielberg, J Tenenbaum, ... Advances in Neural Information Processing Systems 36, 2024 | 6* | 2024 |
| 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 | 6 | 2022 |
| ASAP: Automated Sequence Planning for Complex Robotic Assembly with Physical Feasibility Y Tian, KDD Willis, BA Omari, J Luo, P Ma, Y Li, F Javid, E Gu, J Jacob, ... arXiv preprint arXiv:2309.16909, 2023 | 3 | 2023 |
| How Can Large Language Models Help Humans in Design And Manufacturing? Part 2: Synthesizing an End-To-End LLM-enabled Design and Manufacturing Workflow L Makatura, M Foshey, B Wang, F Hähnlein, P Ma, B Deng, ... Harvard Data Science Review, 2024 | 2 | 2024 |
| How can large language models help humans in design and manufacturing? Part 1: Elements of the LLM-enabled computational design and manufacturing pipeline L Makatura, M Foshey, B Wang, F Hähnlein, P Ma, B Deng, ... PubPub, 2024 | 1 | 2024 |
| LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery P Ma, TH Wang, M Guo, Z Sun, JB Tenenbaum, D Rus, C Gan, W Matusik arXiv preprint arXiv:2405.09783, 2024 | 1 | 2024 |
Wojciech MatusikMIT在 csail.mit.edu 的电子邮件经过验证
