This describes a robotic system that can move objects using at least two different tools. It works by first taking a picture of the objects, then creating multiple plans for moving a specific object from its current spot to a new one, with each plan using a different tool. The system then picks the best plan by estimating the likelihood of errors, like dropping the object, for each tool.
Why it matters: Filed before the latest advancements in real-time vision processing and predictive AI models offered more robust and accurate estimation of manipulation errors. These improvements could make the system's ability to reliably predict object drops and select optimal tools more feasible.
AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.
Reinvent this with AI