Fetching the paper…
Reading the bibliography…
In design, fabrication, and control problems, we are often faced with the task of synthesis, in which we must generate an object or configuration that satisfies a set of constraints while maximizing one or more objective functions.
Parametric correspondence and chamfer matching: Two new techniques for image matching
Harry G Barrow, Jay M Tenenbaum, Robert C Bolles, and Helen C Wolf · 1977
Earlier work this paper cites.
A formulation for task based design of robot manipulators
J-O Kim and Pradeep K Khosla · 1993
Earlier work this paper cites.
Robust reinforcement learning in motion planning
Satinder P Singh, Andrew G Barto, Roderic Grupen, Christopher Connolly, et al · 1994
Earlier work this paper cites.
Determining task optimal modular robot assembly configurations
I-Ming Chen and Joel W Burdick · 1995
Earlier work this paper cites.
Kinematic synthesis with configuration spaces
Devika Subramanian et al · 1995
Earlier work this paper cites.
A systems-level modular design approach to field robotics
Shane Farritor, Steven Dubowsky, Nathan Rutman, and Jeffrey Cole · 1996
Earlier work this paper cites.
Task based design of modular robot manipulator using efficient genetic algorithm
Wan Kyun Chung, Jeongheon Han, Youngil Youm, and SH Kim · 1997
Earlier work this paper cites.
Automated task-based synthesis and optimization of field robots
Chris Leger and John Bares · 1999
Earlier work this paper cites.
Evolution of generative design systems for modular physical robots
Gregory S Hornby, Hod Lipson, and Jordan B Pollack · 2001
Earlier work this paper cites.
Optimal synthesis of mechanisms with genetic algorithms
JA Cabrera, A Simon, and M Prado · 2002
Earlier work this paper cites.
Large-scale pde-constrained optimization: an introduction
Lorenz T Biegler, Omar Ghattas, Matthias Heinkenschloss, and Bart van Bloemen Waanders · 2003
Earlier work this paper cites.
A level set method for structural topology optimization
Michael Yu Wang, Xiaoming Wang, and Dongming Guo · 2003
Earlier work this paper cites.
Numerical optimization
Jorge Nocedal and Stephen Wright · 2006
Earlier work this paper cites.
Recent advances in surrogate-based optimization
Alexander IJ Forrester and Andy J Keane · 2009
Earlier work this paper cites.
Optimal manipulator design for a cucumber harvesting robot
EJ Van Henten, DA Van’t Slot, CWJ Hol, and LG Van Willigenburg · 2009
Earlier work this paper cites.
Bullet physics engine
Erwin Coumans · 2010
Earlier work this paper cites.
Elliptical slice sampling
Iain Murray, Ryan Adams, and David MacKay · 2010
Earlier work this paper cites.
An evolutionary algorithm for path synthesis of mechanisms
JA Cabrera, A Ortiz, F Nadal, and JJ Castillo · 2011
Earlier work this paper cites.
Sampling-based algorithms for optimal motion planning
Sertac Karaman and Emilio Frazzoli · 2011
Earlier work this paper cites.
Optimal design of four-bar mechanisms using a hybrid multi-objective ga with adaptive local search
M Khorshidi, M Soheilypour, M Peyro, A Atai, and M Shariat Panahi · 2011
Earlier work this paper cites.
Surrogate-based methods
Slawomir Koziel, David Echeverría Ciaurri, and Leifur Leifsson · 2011
Earlier work this paper cites.
Surrogate-based optimization
Zhong-Hua Han, Ke-Shi Zhang, et al · 2012
Earlier work this paper cites.
The finite element method: linear static and dynamic finite element analysis
Thomas JR Hughes · 2012
Earlier work this paper cites.
Robot motion planning , volume 124
Jean-Claude Latombe · 2012
Earlier work this paper cites.
Motion-guided mechanical toy modeling
Lifeng Zhu, Weiwei Xu, John Snyder, Yang Liu, Guoping Wang, and Baining Guo · 2012
Earlier work this paper cites.
Topology optimization: theory, methods, and applications
Martin Philip Bendsoe and Ole Sigmund · 2013
Earlier work this paper cites.
Computational design of mechanical characters
Stelian Coros, Bernhard Thomaszewski, Gioacchino Noris, Shinjiro Sueda, Moira Forberg, Robert W Sumner, Wojciech Matusik, and Bernd Bickel · 2013
Earlier work this paper cites.
Surrogate-based modeling and optimization
Slawomir Koziel and Leifur Leifsson · 2013
Earlier work this paper cites.
Topology optimization approaches
Ole Sigmund and Kurt Maute · 2013
Earlier work this paper cites.
Soft robotics technologies to address shortcomings in today’s minimally invasive surgery: the stiff-flop approach
Matteo Cianchetti, Tommaso Ranzani, Giada Gerboni, Thrishantha Nanayakkara, Kaspar Althoefer, Prokar Dasgupta, and Arianna Menciassi · 2014
Earlier work this paper cites.
Program synthesis
Sumit Gulwani · 2014
Earlier work this paper cites.
Surrogate-based optimization
Slawomir Koziel and Stanislav Ogurtsov · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
Earlier work this paper cites.
Task based synthesis of serial manipulators
Sarosh Patel and Tarek Sobh · 2015
Earlier work this paper cites.
Design, fabrication and control of soft robots
Daniela Rus and Michael T Tolley · 2015
Cited alongside, same era.
Trajectory planning for 3d printing: A revisit to traveling salesman problem
Nuwan Ganganath, Chi-Tsun Cheng, Kai-Yin Fok, and K Tse Chi · 2016
Cited alongside, same era.
Task-based limb optimization for legged robots
Sehoon Ha, Stelian Coros, Alexander Alspach, Joohyung Kim, and Katsu Yamane · 2016
Cited alongside, same era.
A memetic algorithm approach for solving the task-based configuration optimization problem in serial modular and reconfigurable robots
Saleh Tabandeh, William Melek, Mohammad Biglarbegian, Seong-hoon Peter Won, and Chris Clark · 2016
Cited alongside, same era.
Asymptotically optimal design of piecewise cylindrical robots using motion planning
Cenk Baykal and Ron Alterovitz · 2017
Cited alongside, same era.
A point set generation network for 3d object reconstruction from a single image
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
Later among the works it cites.
Topology optimization accelerated by deep learning
Hidenori Sasaki and Hajime Igarashi · 2019
Later among the works it cites.
Discrete object generation with reversible inductive construction
Ari Seff, Wenda Zhou, Farhan Damani, Abigail Doyle, and Ryan P Adams · 2019
Later among the works it cites.
An overview on 3d printing technology: technological, materials, and applications
Nurhalida Shahrubudin, Te Chuan Lee, and Rhaizan Ramlan · 2019
Later among the works it cites.
Applications of machine learning in drug discovery and development
Jessica Vamathevan, Dominic Clark, Paul Czodrowski, Ian Dunham, Edgardo Ferran, George Lee, Bin Li, Anant Madabhushi, Parantu Shah, Michaela Spitzer, et al · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Haoqiang Fan, Hao Su, and Leonidas Guibas · 2017
Cited alongside, same era.
Generating and designing dna with deep generative models
Nathan Killoran, Leo J Lee, Andrew Delong, David Duvenaud, and Brendan J Frey · 2017
Cited alongside, same era.
Materials synthesis insights from scientific literature via text extraction and machine learning
Edward Kim, Kevin Huang, Adam Saunders, Andrew McCallum, Gerbrand Ceder, and Elsa Olivetti · 2017
Cited alongside, same era.
Four-bar linkage path generation through self-adaptive population size teaching-learning based optimization
Suwin Sleesongsom and Sujin Bureerat · 2017
Cited alongside, same era.
MarrNet: 3D Shape Reconstruction via 2.5D Sketches
Jiajun Wu, Yifan Wang, Tianfan Xue, Xingyuan Sun, William T Freeman, and Joshua B Tenenbaum · 2017
Cited alongside, same era.
Modelling and path planning for additive manufacturing of continuous fiber composites
Suleman Asif · 2018
Cited alongside, same era.
Advances in surrogate based modeling, feasibility analysis, and optimization: A review
Atharv Bhosekar and Marianthi Ierapetritou · 2018
Cited alongside, same era.
Calibrated surrogate losses for adversarially robust classification
Han Bao, Clay Scott, and Masashi Sugiyama · 2020
Later among the works it cites.
Automated synthesis of modular manipulators’ structure and control for continuous tasks around obstacles
Thais Campos de Almeida, Samhita Marri, and Hadas Kress-Gazit · 2020
Later among the works it cites.
Autofocused oracles for model-based design
Clara Fannjiang and Jennifer Listgarten · 2020
Later among the works it cites.
Offline model-based optimization via normalized maximum likelihood estimation
Justin Fu and Sergey Levine · 2020
Later among the works it cites.
FAME: 3d shape generation via functionality-aware model evolution
Yanran Guan, Han Liu, Kun Liu, Kangxue Yin, Ruizhen Hu, Oliver van Kaick, Yan Zhang, Ersin Yumer, Nathan Carr, Radomir Mech, and Hao Zhang · 2020
Later among the works it cites.
A survey of design methods for material extrusion polymer 3d printing
Jiaqi Huang, Qian Chen, Hao Jiang, Bin Zou, Lei Li, Jikai Liu, and Huangchao Yu · 2020
Later among the works it cites.
Multi-objective molecule generation using interpretable substructures
Wengong Jin, Regina Barzilay, and Tommi Jaakkola · 2020
Later among the works it cites.
Accelerated topology optimization by means of deep learning
Nikos Ath Kallioras, Georgios Kazakis, and Nikos D Lagaros · 2020
Later among the works it cites.
Deep learning for topology optimization of 2d metamaterials
Hunter T Kollmann, Diab W Abueidda, Seid Koric, Erman Guleryuz, and Nahil A Sobh · 2020
Later among the works it cites.
A unified framework of surrogate loss by refactoring and interpolation
Lanlan Liu, Mingzhe Wang, and Jia Deng · 2020
Later among the works it cites.
Coboskin: Soft robot skin with variable stiffness for safer human–robot collaboration
Gaoyang Pang, Geng Yang, Wenzheng Heng, Zhiqiu Ye, Xiaoyan Huang, Hua-Yong Yang, and Zhibo Pang · 2020
Later among the works it cites.
Learning surrogates via deep embedding
Yash Patel, Tomáš Hodaň, and Jiří Matas · 2020
Later among the works it cites.
Difftune: Optimizing cpu simulator parameters with learned differentiable surrogates
Alex Renda, Yishen Chen, Charith Mendis, and Michael Carbin · 2020
Later among the works it cites.
Black-box optimization with local generative surrogates
Sergey Shirobokov, Vladislav Belavin, Michael Kagan, Andrei Ustyuzhanin, and Atilim Gunes Baydin · 2020
Later among the works it cites.
A deep learning approach to antibiotic discovery
Jonathan M Stokes, Kevin Yang, Kyle Swanson, Wengong Jin, Andres Cubillos-Ruiz, Nina M Donghia, Craig R MacNair, Shawn French, Lindsey A Carfrae, Zohar Bloom-Ackermann, et al · 2020
Later among the works it cites.
Continuous Fiber Path Planning Algorithm for 3D Printed Optimal Mechanical Properties
Enrico Stragiotti · 2020
Later among the works it cites.
SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python
Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J. van der Walt, Matthew Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson, Eric Jones, Robert Kern, Eric Larson, C J Carey, İlhan Polat, Yu Feng, Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, E. A. Quintero, Charles R. Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt, and SciPy 1.0 Contributors · 2020
Later among the works it cites.
An efficient and adaptable path planning algorithm for automated fiber placement based on meshing and multi guidelines
Hong Xiao, Wei Han, Wenbin Tang, and Yugang Duan · 2020
Later among the works it cites.
Amortized finite element analysis for fast pde-constrained optimization
Tianju Xue, Alex Beatson, Sigrid Adriaenssens, and Ryan Adams · 2020
Later among the works it cites.
Zhuoning Yuan, Yan Yan, Milan Sonka, and Tianbao Yang · 2020
Later among the works it cites.
Deep learning for material synthesis and manufacturing systems: a review
V Bhuvaneswari, M Priyadharshini, C Deepa, D Balaji, L Rajeshkumar, and M Ramesh · 2021
Closest in time.
Synthesizing modular manipulators for tasks with time, obstacle, and torque constraints
Thais Campos and Hadas Kress-Gazit · 2021
Closest in time.
An optimal architectural design for unconventional modular reconfigurable manipulation system
Anubhav Dogra, Srikant Sekhar Padhee, and Ekta Singla · 2021
Closest in time.
Generating functional protein variants with variational autoencoders
Alex Hawkins-Hooker, Florence Depardieu, Sebastien Baur, Guillaume Couairon, Arthur Chen, and David Bikard · 2021
Closest in time.
Deep learning identifies synergistic drug combinations for treating covid-19
Wengong Jin, Jonathan M Stokes, Richard T Eastman, Zina Itkin, Alexey V Zakharov, James J Collins, Tommi S Jaakkola, and Regina Barzilay · 2021
Closest in time.
Self-powered soft robot in the mariana trench
Guorui Li, Xiangping Chen, Fanghao Zhou, Yiming Liang, Youhua Xiao, Xunuo Cao, Zhen Zhang, Mingqi Zhang, Baosheng Wu, Shunyu Yin, et al · 2021
Closest in time.
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
Alexander Rives, Joshua Meier, Tom Sercu, Siddharth Goyal, Zeming Lin, Jason Liu, Demi Guo, Myle Ott, C Lawrence Zitnick, Jerry Ma, et al · 2021
Closest in time.
Conservative objective models for effective offline model-based optimization
Brandon Trabucco, Aviral Kumar, Xinyang Geng, and Sergey Levine · 2021
Closest in time.