Systems and methods for anomaly detection and correction

This invention describes a system for robots to understand their surroundings and fix problems. It uses stereo video cameras to capture images, then identifies objects and their relationships to build a detailed map of the scene. If it detects something wrong in that map, it figures out what actions the robot needs to take to correct the problem and achieve a specific goal. The claims specifically narrow the input to stereo video and RGB stereo image frames.

Why it matters: Filed just before the widespread adoption of advanced vision-language models and foundation models for robotics. These models now offer more robust capabilities for scene understanding, symbolic-to-continuous action mapping, and goal-oriented planning, making the core challenges of this invention more tractable.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedRobotics, computer vision, AI/ML software

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