2results about How to "Meet constraints" patented technology

This disclosure provides a method, electronic device, storage medium, and program product executed by an electronic device, relating to the field of artificial intelligence. The method includes: acquiring text to be processed and at least one sample, wherein each sample includes at least a question and an answer; using a large language model, based on the at least one sample, determining a first control vector for constraints on at least one network in the large language model; processing the text to be processed using the large language model, and during the processing, updating the activation vectors output by the corresponding networks in the large language model using the at least one first control vector; and obtaining a processing result for the text to be processed based on the updated activation vectors. This disclosure enables finer-grained control of the output of the large language model, allowing the processing result to accurately meet the user's constraint requirements. Optionally, the above method executed by the electronic device can be performed using an artificial intelligence model.

The application provides a multi-sensor fusion robot grasping path planning method and device, and relates to the field of automation. The method comprises the following steps: constructing a first time correction relationship based on multi-source sensor observation parameters; inputting hardware timestamps synchronized to a master clock source into an extended state estimation model based on the first time correction relationship; iteratively updating the multi-source sensor observation parameters based on the extended state estimation model, and constructing a second time correction relationship according to the updated multi-source sensor observation parameters; constructing a pose continuous time trajectory function corresponding to a target robot based on the second time correction relationship; taking the continuous time trajectory function and the multi-source sensor observation parameters as inputs, and outputting a grasping path corresponding to the target robot through a joint optimization model with a time sequence consistency constraint; and controlling the target robot to perform a grasping operation based on the grasping path. The application solves the problem of low precision of the robot grasping path in the prior art.