Real-time Locomotion Controller using an Inverted-Pendulum-based Abstract Model

dc.contributor.authorHwang, Jaepyungen_US
dc.contributor.authorKim, Jongminen_US
dc.contributor.authorSuh, Il Hongen_US
dc.contributor.authorKwon, Taesooen_US
dc.contributor.editorGutierrez, Diego and Sheffer, Allaen_US
dc.date.accessioned2018-04-14T18:24:39Z
dc.date.available2018-04-14T18:24:39Z
dc.date.issued2018
dc.description.abstractIn this paper, we propose a novel motion controller for the online generation of natural character locomotion that adapts to new situations such as changing user control or applying external forces. This controller continuously estimates the next footstep while walking and running, and automatically switches the stepping strategy based on situational changes. To develop the controller, we devise a new physical model called an inverted-pendulum-based abstract model (IPAM). The proposed abstract model represents high-dimensional character motions, inheriting the naturalness of captured motions by estimating the appropriate footstep location, speed and switching time at every frame. The estimation is achieved by a deep learning based regressor that extracts important features in captured motions. To validate the proposed controller, we train the model using captured motions of a human stopping, walking, and running in a limited space. Then, the motion controller generates humanlike locomotion with continuously varying speeds, transitions between walking and running, and collision response strategies in a cluttered space in real time.en_US
dc.description.number2
dc.description.sectionheadersMotion and Control
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume37
dc.identifier.doi10.1111/cgf.13361
dc.identifier.issn1467-8659
dc.identifier.pages287-296
dc.identifier.urihttps://doi.org/10.1111/cgf.13361
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13361
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectComputing methodologies
dc.subjectAnimation
dc.titleReal-time Locomotion Controller using an Inverted-Pendulum-based Abstract Modelen_US
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