yejianwen94/animationauthoring

Controlling AI-driven Quadruped Character in Unity.

Animation Authoring for Neural Quadruped Controller

_{Paul Starke⁺, Sebastian Starke, Taku Komura, Gerik Scheuermann, Daniel Wiegreffe. Bachelor Thesis 2020 University of Leipzig.}

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Controlling character via high-level control signal sequences is of high desire for game designers and storytelling tasks. This work continues the recent work on MANN (Mode-Adaptive Neural Networks) for character control by the ability to carry out desired motion action types at a specified time or position using an interactive user-system. The system allows an offline control for different quadruped character movements, such as locomotion and stylizations thereof, sneaking, eating, and hydrating has been created. Additionally, this work proposes a new dataset which aims to enhance synthetic motions when trained jointly with motion capture data. The approach is based on manipulating postures using inverse kinematics.

- Video - Thesis - Dataset - Windows Demo - Linux Demo - Mac Demo - ReadMe -

Copyright Information

The motion capture data is available only under the terms of the Attribution-NonCommercial 4.0 International(CC BY-NC 4.0) license.