This Neural Network Animates Quadrupeds

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This Neural Network Animates Quadrupeds

Two Minute Papers 30.08.2018 51 574 просмотров 2 527 лайков

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The paper "Mode-Adaptive Neural Networks for Quadruped Motion Control" is available here: http://homepages.inf.ed.ac.uk/tkomura/dog.pdf Pick up cool perks on our Patreon page: https://www.patreon.com/TwoMinutePapers We would like to thank our generous Patreon supporters who make Two Minute Papers possible: 313V, Andrew Melnychuk, Angelos Evripiotis, Brian Gilman, Christian Ahlin, Christoph Jadanowski, Dennis Abts, Emmanuel, Eric Haddad, Esa Turkulainen, Geronimo Moralez, Kjartan Olason, Lorin Atzberger, Marten Rauschenberg, Michael Albrecht, Michael Jensen, Milan Lajtoš, Morten Punnerud Engelstad, Nader Shakerin, Owen Skarpness, Rafael Harutyuynyan, Raul Araújo da Silva, Rob Rowe, Robin Graham, Ryan Monsurate, Shawn Azman, Steef, Steve Messina, Sunil Kim, Thomas Krcmar, Torsten Reil, Zach Boldyga. https://www.patreon.com/TwoMinutePapers Crypto and PayPal links are available below. Thank you very much for your generous support! Bitcoin: 13hhmJnLEzwXgmgJN7RB6bWVdT7WkrFAHh PayPal: https://www.paypal.me/TwoMinutePapers Ethereum: 0x002BB163DfE89B7aD0712846F1a1E53ba6136b5A LTC: LM8AUh5bGcNgzq6HaV1jeaJrFvmKxxgiXg Two Minute Papers Merch: US: http://twominutepapers.com/ EU/Worldwide: https://shop.spreadshirt.net/TwoMinutePapers/ Thumbnail background image credit: https://pixabay.com/photo-142173/ Splash screen/thumbnail design: Felícia Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Facebook: https://www.facebook.com/TwoMinutePapers/ Twitter: https://twitter.com/karoly_zsolnai Web: https://cg.tuwien.ac.at/~zsolnai/

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<Untitled Chapter 1>

dear fellow scholars this is two minute papers with károly on IFA here if we have an animation movie or a computer

Quadruped Locomotion Patterns

game with quadrupeds and we are yearning for really high-quality lifelike

Unstructured Motion Capture Data

animations motion capture is often the go-to tool for that motion capture means that we put an actor in our case a dog in the studio we ask it to perform sitting trotting pacing and jumping record its motion and transfer it onto our virtual character this generally works quite well however there are many difficulties with this process we will skip over the fact that an artist or engineer has to clean and label the recorded data which is quite labor-intensive but there is a bigger problem we have all these individual motion types at our disposal however a virtual character will also need to be able to transition between these motions in a smooth and natural manner recording all possible transitions between these moves is not feasible so in an earlier work we looked at a neural network based technique to

Standard Neural Networks

try to weave these motions together for the first sight this looks great however have a look at these weird sliding motions that it produces do you see them they look quite unnatural this new method tries to address this problem but ends up offering much more than that it requires only one hour of motion capture data and we have only around 30 seconds of footage for jumping motions which is basically next to nothing and this technique can deal with unstructured data meaning that it doesn't require manual labeling of the individual motion types which saves a ton of work hours beyond that as we control this character in the game this technique also uses a prediction network to guess the next motion type and the gating network that helps blending together these different motion types both of these units are neural networks on the right you see the results with the new method compared to a standard neural network based solution on the left make sure to pay special attention to the foot sliding issues with the solution on the left and note that the new method doesn't produce any of those now these mo look great but they all take place on a flat surface you see here that this new

Full-Body IK Motion Synthesis for Smooth Terrain Locomotion

technique excels at much more challenging landscapes as well this technique is a total powerhouse and I can only imagine how many workers this will say four artists working in the

Quadruped Motion Control

industry it is also scientifically interesting and quite practical my favorite combination it is also well evaluated so make sure to have a look at the paper for more details thanks for watching and for your generous support and I'll see you next time

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