RACon: Retrieval-Augmented Simulated Character Locomotion Control Article Swipe

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Yuxuan Mu , Shihao Zou , Kangning Yin , Tian Zheng , Li Cheng , Weinan Zhang , Jun Wang ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2406.17795

In computer animation, driving a simulated character with lifelike motion is challenging. Current generative models, though able to generalize to diverse motions, often pose challenges to the responsiveness of end-user control. To address these issues, we introduce RACon: Retrieval-Augmented Simulated Character Locomotion Control. Our end-to-end hierarchical reinforcement learning method utilizes a retriever and a motion controller. The retriever searches motion experts from a user-specified database in a task-oriented fashion, which boosts the responsiveness to the user's control. The selected motion experts and the manipulation signal are then transferred to the controller to drive the simulated character. In addition, a retrieval-augmented discriminator is designed to stabilize the training process. Our method surpasses existing techniques in both quality and quantity in locomotion control, as demonstrated in our empirical study. Moreover, by switching extensive databases for retrieval, it can adapt to distinctive motion types at run time.

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Character (mathematics) Computer science Control (management) Artificial intelligence Computer vision Mathematics Geometry

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2406.17795
PDF: https://arxiv.org/pdf/2406.17795
OA Status: green
Related Works: 10
OpenAlex ID: https://openalex.org/W4400104267

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DOI: https://doi.org/10.48550/arxiv.2406.17795

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Title: RACon: Retrieval-Augmented Simulated Character Locomotion Control

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Language: en

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Publication year: 2024

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Publication date: 2024-06-11

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Authors: Yuxuan Mu, Shihao Zou, Kangning Yin, Tian Zheng, Li Cheng, Weinan Zhang, Jun Wang

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Landing page: https://arxiv.org/abs/2406.17795

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PDF URL: https://arxiv.org/pdf/2406.17795

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Concepts: Character (mathematics), Computer science, Control (management), Artificial intelligence, Computer vision, Mathematics, Geometry

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