Video: Robot uses vision and AI to adapt to terrain like animals in real time
SMRTR summary
KAIST researchers developed DreamWaQ++, a quadrupedal robot system that uses cameras, LiDAR, and sensors to navigate complex terrain in real time like animals do. The robot successfully climbed 50-step staircases and 35-degree slopes, demonstrating perception-based movement that identifies obstacles before contact rather than simply reacting after hitting them.
SMRTR provides this summary for quick context. The original article belongs to Interesting Engineering.
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