HuBE is a closed-loop pose-generation framework that produces context-appropriate, human-like upper-body motions for multiple humanoid robots, trained on an LLM-annotated dataset with bone-scaling augmentation.
Tantangan linguistik dalam pengimplementasian big data berbahasa indonesia pada robot humanoid: Tinjauan dan rekomendasi,
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HuBE: Cross-Embodiment Human-like Behavior Execution for Humanoid Robots
HuBE is a closed-loop pose-generation framework that produces context-appropriate, human-like upper-body motions for multiple humanoid robots, trained on an LLM-annotated dataset with bone-scaling augmentation.