ChainQueen: A real-time differentiable physical simulator for soft robotics Y Hu, J Liu*, A Spielberg*, JB Tenenbaum, WT Freeman, J Wu, D Rus, ... 2019 International Conference on Robotics and Automation (ICRA), 6265-6271, 2019 | 274 | 2019 |
Inversecsg: Automatic conversion of 3d models to csg trees T Du, JP Inala, Y Pu, A Spielberg, A Schulz, D Rus, A Solar-Lezama, ... ACM Transactions on Graphics (TOG) 37 (6), 1-16, 2018 | 152 | 2018 |
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 | 149 | 2020 |
Multi-Robot Grasp Planning for Sequential Assembly Operations M Dogar, A Spielberg, S Baker, D Rus | 118* | 2015 |
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 | 88 | 2021 |
Interactive robogami: An end-to-end system for design of robots with ground locomotion A Schulz*, C Sung*, A Spielberg, W Zhao, R Cheng, E Grinspun, D Rus, ... The International Journal of Robotics Research 36 (10), 1131-1147, 2017 | 66 | 2017 |
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 | 64 | 2021 |
Functional Co-Optimization of Articulated Robots A Spielberg, B Araki, C Sung, R Tedrake, D Rus International Conference on Robotics and Automation (ICRA) 2017, 2017 | 60 | 2017 |
RapID: A framework for fabricating low-latency interactive objects with RFID tags A Spielberg, A Sample, SE Hudson, J Mankoff, J McCann Proceedings of the 2016 chi conference on human factors in computing systems …, 2016 | 60 | 2016 |
A Simple, Inexpensive, Wearable Glove with Hybrid Resistive‐Pressure Sensors for Computational Sensing, Proprioception, and Task Identification J Hughes*, A Spielberg*, M Chounlakone*, G Chang, W Matusik, D Rus Advanced Intelligent Systems, 2000002, 2020 | 57 | 2020 |
Learning-In-The-Loop Optimization: End-To-End Control And Co-Design Of Soft Robots Through Learned Deep Latent Representations A Spielberg, A Zhao, T Du, Y Hu, D Rus, W Matusik Advances in Neural Information Processing Systems, 8282-8292, 2019 | 56 | 2019 |
Multi-scale assembly with robot teams M Dogar*, RA Knepper*, A Spielberg*, C Choi, HI Christensen, D Rus The International Journal of Robotics Research 34 (13), 1645-1659, 2015 | 50 | 2015 |
Digital fabrication of pneumatic actuators with integrated sensing by machine knitting Y Luo, K Wu, A Spielberg, M Foshey, D Rus, T Palacios, W Matusik Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022 | 48 | 2022 |
Co-Learning of Task and Sensor Placement for Soft Robotics A Spielberg*, A Amini*, L Chin, W Matusik, D Rus IEEE Robotics and Automation Letters 6 (2), 1208-1215, 2021 | 35 | 2021 |
Multi-Objective Graph Heuristic Search for Terrestrial Robot Design J Xu, A Spielberg, A Zhao, D Rus, W Matusik | 35 | 2021 |
Towards coordinated precision assembly with robot teams M Dogar*, RA Knepper*, A Spielberg*, C Choi, HI Christensen, D Rus Experimental Robotics, 655-669, 2016 | 30 | 2016 |
Sim-to-Real for Soft Robots using Differentiable FEM: Recipes for Meshing, Damping, and Actuation M Dubied, M Michelis, A Spielberg, R Katzschmann IEEE Robotics and Automation Letters 7 (2), 5015 - 5022, 2022 | 28 | 2022 |
Functional optimization of fluidic devices with differentiable stokes flow T Du, K Wu, A Spielberg, W Matusik, B Zhu, E Sifakis ACM Transactions on Graphics (TOG) 39 (6), 1-15, 2020 | 25 | 2020 |
Designing cable-driven actuation networks for kinematic chains and trees V Megaro*, E Knoop*, A Spielberg*, DIW Levin, W Matusik, M Gross, ... Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation …, 2017 | 25 | 2017 |
How can large language models help humans in design and manufacturing? Parts 1 and 2 L Makatura, M Foshey, B Wang, F Hähnlein, P Ma, B Deng, ... Harvard Data Science Review, 2024 | 23* | 2024 |