A lab develops an AI-trained robot that plays badminton with humans.

The success of ANYmal-D in a fast-paced and variable sports environment like badminton represents a significant advance in autonomous mobile robotics.

The combination of locomotion, visual perception, and real-time manipulation , integrated through machine learning, enhances the potential of robots to perform dynamic and complex tasks in both recreational and functional contexts.

*This content was written with the assistance of artificial intelligence, based on publicly available information released to media outlets. It was also reviewed by a journalist and an editor.

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