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Información - Sensorimotor Trajectory Modeling
Humanoid Locomotion: Next Token Prediction for Real-World Control Tasks
모델링된 센서모터 궤적을 통해 현실 세계에서 로봇 제어 작업을 학습하는 유망한 방법론을 제시합니다.
Humanoid Locomotion: Next Token Prediction Approach
The author proposes a novel approach to humanoid locomotion by treating it as a next token prediction problem, leveraging sensorimotor trajectories. The core thesis is that modeling sensorimotor data with a causal transformer can enable real-world control tasks through generative modeling.
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