[1] Anurag Ajay, Yilun Du, Abhi Gupta, Joshua Tenenbaum, Tommi Jaakkola, and Pulkit Agrawal. Is conditional generative modeling all you need for decision-making? arXiv preprint arXiv:2211.15657, 2022.
[2] Moritz Bächer, Espen Knoop, and Christian Schumacher. Design and control of soft robots using differentiable simulation. Current Robotics Reports, 2(2):211-221, 2021.
[3] Nicholas W Bartlett, Michael T Tolley, Johannes TB Overvelde, James C Weaver, Bobak Mosadegh, Katia Bertoldi, George M Whitesides, and Robert J Wood. A 3d-printed, functionally graded soft robot powered by combustion. Science, 349(6244):161-165, 2015.
[4] James M Bern, Kai-Hung Chang, and Stelian Coros. Interactive design of animated plushies. ACM Transactions on Graphics (TOG), 36(4):1-11, 2017.
[5] Jagdeep Bhatia, Holly Jackson, Yunsheng Tian, Jie Xu, and Wojciech Matusik. Evolution gym: A large-scale benchmark for evolving soft robots. Advances in Neural Information Processing Systems, 34:2201-2214, 2021.
[6] Xiang'Anthony' Chen, Stelian Coros, Jennifer Mankoff, and Scott E Hudson. Encore: 3d printed augmentation of everyday objects with printed-over, affixed and interlocked attachments. In Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology, pages 73-82, 2015.
[7] Nicholas Cheney, Jeff Clune, and Hod Lipson. Evolved electrophysiological soft robots. In Artificial life conference proceedings, pages 222-229. MIT Press One Rogers Street, Cambridge, MA 02142-1209, USA journals-info ..., 2014.
[8] Nick Cheney, Robert MacCurdy, Jeff Clune, and Hod Lipson. Unshackling evolution: evolving soft robots with multiple materials and a powerful generative encoding. ACM SIGEVolution, 7(1):11-23, 2014.
[9] Cheng Chi, Siyuan Feng, Yilun Du, Zhenjia Xu, Eric Cousineau, Benjamin Burchfiel, and Shuran Song. Diffusion Policy: Visuomotor Policy Learning via Action Diffusion. arXiv preprint arXiv:2303.04137, 2023.
[10] Francesco Corucci, Nick Cheney, Francesco Giorgio-Serchi, Josh Bongard, and Cecilia Laschi. Evolving soft locomotion in aquatic and terrestrial environments: effects of material properties and environmental transitions. Soft robotics, 5(4):475-495, 2018.
[11] Raphael Deimel, Patrick Irmisch, Vincent Wall, and Oliver Brock. Automated co-design of soft hand morphology and control strategy for grasping. In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 1213-1218. IEEE, 2017.
[12] Prafulla Dhariwal and Alexander Quinn Nichol. Diffusion models beat GANs on image synthesis. In Advances in Neural Information Processing Systems, 2021.
[13] Tao Du, Kui Wu, Pingchuan Ma, Sebastien Wah, Andrew Spielberg, Daniela Rus, and Wojciech Matusik. Diffpd: Differentiable projective dynamics. ACM Transactions on Graphics (TOG), 41(2):1-21, 2021.
[14] Yilun Du, Conor Durkan, Robin Strudel, Joshua B Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, and Will Grathwohl. Reduce, reuse, recycle: Compositional generation with energy-based diffusion models and mcmc. arXiv preprint arXiv:2302.11552, 2023.
[15] Yilun Du and Igor Mordatch. Implicit generation and generalization in energy-based models. arXiv preprint arXiv:1903.08689, 2019.
[16] Yilun Du, Mengjiao Yang, Bo Dai, Hanjun Dai, Ofir Nachum, Joshua B Tenenbaum, Dale Schuurmans, and Pieter Abbeel. Learning universal policies via text-guided video generation. arXiv e-prints, pages arXiv-2302, 2023.