This invention describes a robot that uses multiple sensors to understand its environment or its own condition. Each type of sensor has its own dedicated hardware chip that processes its data into a simplified, meaningful representation. A central computer then uses these simplified representations from all the sensors to control the robot, which the claims narrow to a dynamic mechanical system like a robot.
Why it matters: Since 2022, the cost-performance ratio and integration capabilities of dedicated hardware machine-learning accelerators for edge computing have advanced significantly. This makes the proposed architecture of using specialized chips for real-time sensor data processing more practical and efficient for robotic control today.
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