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Soft robotics has emerged as a promising field with the potential to revolutionize industries such as healthcare and manufacturing.
Soft Robotics for Chemists
Filip Ilievski, Aaron D. Mazzeo, Robert F. Shepherd, Xin Chen, and George M. Whitesides · 2011
Earlier work this paper cites.
Soft-robotic arm inspired by the octopus: II. From artificial requirements to innovative technological solutions
B. Mazzolai, L. Margheri, M. Cianchetti, P. Dario, and C. Laschi · 2012
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Topology optimization approaches: A comparative review
Ole Sigmund and Kurt Maute · 2013
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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From evolutionary computation to the evolution of things
A.E. Eiben and J.E. Smith · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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Soft robot review
Chiwon Lee, Myungjoon Kim, Yoon Jae Kim, Nhayoung Hong, Seungwan Ryu, H. Jin Kim, and Sungwan Kim · 2017
Cited alongside, same era.
Neural discrete representation learning
Aaron Van Den Oord, Oriol Vinyals, et al · 2017
Cited alongside, same era.
Text2shape: Generating shapes from natural language by learning joint embeddings
Kevin Chen, Christopher B Choy, Manolis Savva, Angel X Chang, Thomas Funkhouser, and Silvio Savarese · 2018
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
Cited alongside, same era.
What do single-view 3d reconstruction networks learn?
Maxim Tatarchenko, Stephan R Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, and Thomas Brox · 2019
Cited alongside, same era.
From Bioinspiration to Computer Generation: Developments in Autonomous Soft Robot Design
Joshua Pinskier and David Howard · 2022
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SDFusion: Multimodal 3d shape completion, reconstruction, and generation
Yen-Chi Cheng, Hsin-Ying Lee, Sergey Tuyakov, Alex Schwing, and Liangyan Gui · 2022
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Dreamfusion: Text-to-3d using 2d diffusion
Ben Poole, Ajay Jain, Jonathan T. Barron, and Ben Mildenhall · 2022
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Point-e: A system for generating 3d point clouds from complex prompts, 2022
Alex Nichol, Heewoo Jun, Prafulla Dhariwal, Pamela Mishkin, and Mark Chen · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Diffusebot: Breeding soft robots with physics-augmented generative diffusion models
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Finite Element Modeling in the Design Process of 3D Printed Pneumatic Soft Actuators and Sensors
Charbel Tawk and Gursel Alici · 2020
Cited alongside, same era.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Cited alongside, same era.
Tsun-Hsuan Wang, Juntian Zheng, Pingchuan Ma, Yilun Du, Byungchul Kim, Andrew Everett Spielberg, Joshua B. Tenenbaum, Chuang Gan, and Daniela Rus · 2023
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