Human-in-loop robot training and testing system with generative artificial intelligence (ai)
AssigneeAcumino
InventorsPatrick McKinley JARVIS, Ke WANG, Minas LIAROKAPIS
Life of this patent
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AssigneeAcumino
InventorsPatrick McKinley JARVIS, Ke WANG, Minas LIAROKAPIS
Estimating the term…
A robot teaching and testing system and method that performs human-operated robot tasks according to instructions generated from generative AI models. The process starts with a user prompt and combines the user prompt with predefined prompt templates to generate well-formatted text prompts. Generative AI models take the text prompts and convert them into high-level instructions or control codes that can be deployed on a robot. The high-level instructions are then converted into human-operated robot tasks for a human data collector using a mixed reality (MR) device. The human data collector will attempt to follow the instructions to complete the human-operated robot tasks and may overwrite the suggested instructions by performing a different action, demonstrate a task without instructions, or leave feedback or comments regarding the tasks. Feedback data will be captured and saved for improving the robot system.
A method for testing and/or improving a robot control system, the method comprising:
A system for training and/or testing a robot control system, the system comprising:
Dependencies are inferred from the claim text.