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Patent drawing for Hybrid computing achitectures with specialized processors to encode/decode latent representations for controlling dynamic mechanical systems
US 11,691,278 B2
Robotics US 11,691,278 B2 Not in force

Hybrid computing achitectures with specialized processors to encode/decode latent representations for controlling dynamic mechanical systems

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.

Status
Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build
SpecializedCustom ML accelerators, robot integration

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