arXiv:2605.31120v1 Announce Type: cross Abstract: We propose a new method for synthesizing physically-based swimming motions. Physically-based character animation aims to generate physically valid, controllable, and natural-looking motions which can respond to unexpected disturbances, where one dictating factor of difficulty is the complexity of the task, especially the level of sophistication of the required interactions with the environment. Existing research has succeeded in various tasks in static and dynamic environments. We push the difficulty further to swimming, which requires full-bod
Advances in AI models and computational power are enabling more sophisticated physically-based simulations, making complex real-world actions like swimming amenable to artificial control.
This development pushes the boundaries of physically challenging robotic control, indicating progress towards more dexterous and adaptable AI systems for complex environments beyond simple locomotion.
AI-driven animation and robotic control can now tackle highly complex, full-body interactions in dynamic, fluid environments, moving beyond static environments and simpler physical tasks.
- · AI research labs
- · Robotics manufacturers
- · Defence/search & rescue agencies
- · Animation/gaming studios
- · Traditional animation techniques
- · Simple rule-based robotics
More realistic and efficient simulation of aquatic robotics and virtual characters becomes possible.
Improved AI for underwater exploration, inspection, and manipulation, leading to more autonomous marine operations.
Enhanced AI 'understanding' of fluid dynamics and complex motor control could transfer to other dynamic, challenging physical domains, accelerating general-purpose robotics.
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Read at arXiv cs.LG