Learning to Move with Style: Few-Shot Cross-Modal Style Transfer for Creative Robot Motion Generation
A novel framework for cross-modal style transfer that enables robots to learn new movement styles by adapting existing human-robot dance collaborations using human movement videos, and introduces a creativity parameter that provides control over the style-trajectory trade-off.
Kieran Woodward, Alicia Falcon-Caro, Steve Benford
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