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Falling and landing motion control for character animation

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C. Karen LiuAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 31, Issue 6

Article No.: 155, Pages 1 - 9

https://doi.org/10.1145/2366145.2366174

Published: 01 November 2012 Publication History

Abstract

We introduce a new method to generate agile and natural human landing motions in real-time via physical simulation without using any mocap or pre-scripted sequences. We develop a general controller that allows the character to fall from a wide range of heights and initial speeds, continuously roll on the ground, and get back on its feet, without inducing large stress on joints at any moment. The character's motion is generated through a forward simulator and a control algorithm that consists of an airborne phase and a landing phase. During the airborne phase, the character optimizes its moment of inertia to meet the ideal relation between the landing velocity and the angle of attack, under the laws of conservation of momentum. The landing phase can be divided into three stages: impact, rolling, and getting-up. To reduce joint stress at landing, the character leverages contact forces to control linear momentum and angular momentum, resulting in a rolling motion which distributes impact over multiple body parts. We demonstrate that our control algorithm can be applied to a variety of initial conditions with different falling heights, orientations, and linear and angular velocities. Simulated results show that our algorithm can effectively create realistic action sequences comparable to real world footage of experienced freerunners.

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Cited By

Hu BGuo HYang YTao XHe J(2024)Lightweight Physics-Based Character for Generating Sensible Postures in Dynamic EnvironmentsIEEE Access10.1109/ACCESS.2024.341722012(89660-89678)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3417220
Park JPark MLee JWon J(2023)Bidirectional GaitNet: A Bidirectional Prediction Model of Human Gait and Anatomical ConditionsACM SIGGRAPH 2023 Conference Proceedings10.1145/3588432.3591492(1-9)Online publication date: 23-Jul-2023
https://dl.acm.org/doi/10.1145/3588432.3591492
Aristidou AYiannakidis AAberman KCohen-Or DShamir AChrysanthou Y(2023)Rhythm is a Dancer: Music-Driven Motion Synthesis With Global StructureIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.316367629:8(3519-3534)Online publication date: 1-Aug-2023
https://doi.org/10.1109/TVCG.2022.3163676
Show More Cited By

Index Terms

Falling and landing motion control for character animation
1. Computing methodologies
  1. Computer graphics
    1. Animation

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Published In

cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 31, Issue 6

November 2012

794 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/2366145

Issue’s Table of Contents

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 01 November 2012

Published in TOG Volume 31, Issue 6

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Cited By

Hu BGuo HYang YTao XHe J(2024)Lightweight Physics-Based Character for Generating Sensible Postures in Dynamic EnvironmentsIEEE Access10.1109/ACCESS.2024.341722012(89660-89678)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3417220
Park JPark MLee JWon J(2023)Bidirectional GaitNet: A Bidirectional Prediction Model of Human Gait and Anatomical ConditionsACM SIGGRAPH 2023 Conference Proceedings10.1145/3588432.3591492(1-9)Online publication date: 23-Jul-2023
https://dl.acm.org/doi/10.1145/3588432.3591492
Aristidou AYiannakidis AAberman KCohen-Or DShamir AChrysanthou Y(2023)Rhythm is a Dancer: Music-Driven Motion Synthesis With Global StructureIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.316367629:8(3519-3534)Online publication date: 1-Aug-2023
https://doi.org/10.1109/TVCG.2022.3163676
Kim NLing HXie Zvan de Panne M(2021)Flexible Motion Optimization with Modulated Assistive ForcesProceedings of the ACM on Computer Graphics and Interactive Techniques10.1145/34801444:3(1-25)Online publication date: 27-Sep-2021
https://dl.acm.org/doi/10.1145/3480144
Yin ZYang ZVan De Panne MYin K(2021)Discovering diverse athletic jumping strategiesACM Transactions on Graphics10.1145/3450626.345981740:4(1-17)Online publication date: 19-Jul-2021
https://dl.acm.org/doi/10.1145/3450626.3459817
Feng XLiu JWang HYang YBao HBickel BXu W(2021)Computational Design of Skinned Quad-RobotsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2019.295721827:6(2881-2895)Online publication date: 1-Jun-2021
https://doi.org/10.1109/TVCG.2019.2957218
Kwon TLee YVan De Panne M(2020)Fast and flexible multilegged locomotion using learned centroidal dynamicsACM Transactions on Graphics10.1145/3386569.339243239:4(46:1-46:17)Online publication date: 12-Aug-2020
https://dl.acm.org/doi/10.1145/3386569.3392432
Buckchash HRaman B(2020)Variational Conditioning of Deep Recurrent Networks for Modeling Complex Motion DynamicsIEEE Access10.1109/ACCESS.2020.29853188(67822-67834)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2985318
Park SRyu HLee SLee SLee J(2019)Learning predict-and-simulate policies from unorganized human motion dataACM Transactions on Graphics10.1145/3355089.335650138:6(1-11)Online publication date: 8-Nov-2019
https://dl.acm.org/doi/10.1145/3355089.3356501
Park HYu RLee J(2019)Multi‐Segment Foot for Human Modelling and SimulationComputer Graphics Forum10.1111/cgf.1389639:1(637-649)Online publication date: 25-Dec-2019
https://doi.org/10.1111/cgf.13896
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