Machine vision parsing of three-dimensional environments employing neural networks
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United States of America
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Apr 1, 2025
Grant Date -
Apr 29, 2021
app pub date -
Oct 1, 2020
filing date -
Oct 1, 2020
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Abstract
Machine vision apparatus, methods and articles advantageously employ neural networks to parse or evaluate a three-dimensional environment which may, for example, be useful in robotics. Such may advantageously allow detection of objects (e.g., targets, obstacles, or even portions of the robot itself or neighboring robots) in a three-dimensional environment using limited physical computational resources, limited processing time, and/or with a high level of accuracy. Detection may include representation of a volume occupied by an object in the three-dimensional environment and/or a pose (i.e., position and orientation) of the object in the three-dimensional environment. Such may, for example, allow a robot to engage or otherwise interact with one or more target objects while avoiding obstacles in the three-dimensional environment, for instance while the robot operates autonomously and/or in real-time in the three-dimensional environment.
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