2021
DOI: 10.1111/cgf.142661
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Virtual Creature Morphology ‐ A Review

Abstract: We present a review of methods for procedurally generating the morphology of virtual creatures. We include a range of methods, with the main groups being from ALife over art to video games. Even though at times these groups overlap, for clarity we have kept this distinction. By including the word virtual, we mean that we focus on methods for simulation in silico, and not physical robots. We also include a historical perspective, with information on methods such as cellular automata, L-systems and a focus on ea… Show more

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Cited by 10 publications
(4 citation statements)
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“…Our model, an example of digital embryogeny, 166 , 167 , 168 , 169 , 170 was designed not to make claims about specific gene products, but rather to show a general design principle sufficient to explain the observed tissue-wide, multimodal collective behavior. Such models will be made even more bio-realistic in the future by training the model from scratch with real-time dynamic physiomic and transcriptomic datasets that will come online in subsequent years.…”
Section: Discussionmentioning
confidence: 99%
“…Our model, an example of digital embryogeny, 166 , 167 , 168 , 169 , 170 was designed not to make claims about specific gene products, but rather to show a general design principle sufficient to explain the observed tissue-wide, multimodal collective behavior. Such models will be made even more bio-realistic in the future by training the model from scratch with real-time dynamic physiomic and transcriptomic datasets that will come online in subsequent years.…”
Section: Discussionmentioning
confidence: 99%
“…Another field with a long history of contributing to applied co‐design methodology is embodied intelligence and artificial life. [ 175–177 ] Rather than use neuroscience‐inspired methods like neural networks, the artificial life community has favored machine learning techniques inspired by biological evolution and heredity, making use of evolutionary algorithms as well as differentiable simulations to tackle co‐design problems. Much like our own proposal, the artificial life community seeks to design autonomous agents whose material and cognitive make‐up are well‐adapted to their environmental niche.…”
Section: Navigating the Design Spaces Of Soft Roboticsmentioning
confidence: 99%
“…With the advancement in computational resources, generative design has become more sophisticated and can generate more comprehensive designs. Finally, Lai et al [63] have provided an insightful overview of the current state of the art in generative design.…”
Section: Introductionmentioning
confidence: 99%