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AI researchers have developed a new vision-based algorithm that helps robotic dogs scale high objects, leap across gaps, crawl under thresholds, and squeeze through crevices. This algorithm represents the brains of the robodog and allows it to autonomously size up physical challenges and imagine, then execute, a broad range of agility skills based on the obstacles it sees. This is the first robodog to combine self-sufficiency with a simplified machine learning technique.
