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Patent drawing for Machine learning model for task and motion planning
US 12,390,926 B2
Robotics US 12,390,926 B2 Not in force

Machine learning model for task and motion planning

This invention describes a system that helps robots or other automated machines figure out what to do next. It uses artificial intelligence, specifically neural networks, to look at where things are and what state they're in, often by analyzing images. Based on this information and what it has done before, the system decides the next small step for the machine, sometimes even telling it to move objects.

Why it matters: Filed before the widespread adoption of advanced vision models and foundation models. These advancements could significantly simplify the development of the neural networks and image processing required to infer sub-tasks and generate state information.

Status
Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build
SpecializedMachine learning system, robot control software

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