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This invention describes a mobile robot, like a self-driving cart, that uses two types of sensors to detect obstacles. It has a structured light camera, which is good for seeing detailed shapes, and also ultrasound sensors. The clever part is that if the ultrasound detects something, but the structured light camera *doesn't* (which can happen with tricky surfaces like reflective or discontinuous ones), the robot knows to stop or go around it.
Why it matters: The challenge of robustly fusing disparate sensor data and implementing reliable obstacle avoidance protocols, especially when one sensor fails, has become more tractable with advancements in AI and real-time processing for autonomous systems since 2018.
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