Systems and methods for precise navigation of autonomous devices

This system enables robots, particularly wheeled vehicles, to navigate complex environments autonomously and safely. It operates by evaluating a map of obstacles and a desired route, then uses pre-calculated movement options to find the best path. The system minimizes a cost function by applying a 'trajectory footprint mask' to the obstacle map, ensuring the robot avoids collisions in real-time.

Why it matters: Filed before significant advancements in AI-driven predictive models. Modern machine learning can now more effectively develop and optimize the 'black box forward model' for state inference and integrate diverse sensor data for mapping.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, control algorithms, sensor integration.

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