4 results about "Action function" patented technology

This invention discloses a method for generating pattern files on a computerized horizontal jacquard machine, including an instruction program for generating the pattern file. The instruction program includes row number, rocking table, rocking table direction, stroke, weaving speed, winding speed, left front gauge, left back gauge, left front triangle, left back triangle, left system yarn feeder, right front gauge, right back gauge, right front triangle, right back triangle, right system yarn feeder, starting row, ending row, and number of cycles. The instruction program represents all the action function instructions required to weave one row of the currently designed fabric. This invention adds a one-click switch to a simplified mode to the original computerized horizontal jacquard machine operating system. The traditional operating system for drawing pattern files using a computer is retained, and users can freely switch between the two modes. The simplified mode comes with commonly used pattern modules that can be directly called and can freely switch between the two operating systems. It can directly generate the action instructions for the pattern file on the computerized horizontal jacquard machine.

The invention discloses a robot task planning enhancement method and system based on a large language model, and the method comprises the steps: constructing an action tree which comprises a plurality of candidate action sequences, and each candidate action sequence comprises a plurality of action functions; obtaining a long sequence task, inputting the long sequence task into the first large language model for task planning, and outputting a plurality of subtasks; respectively inputting each subtask into a second large language model for task scheduling, and obtaining an action function for driving the robot and a first execution result corresponding to the action function according to the action tree; when the first execution result is execution failure, a local solution and a global solution are obtained through the first large language model and the second large language model, and then the robot is driven to complete corresponding subtasks according to the local solution and / or the global solution. The task execution efficiency of the robot in a complex environment can be improved, and the method can be widely applied to the technical field of task planning.

The application provides a state management model optimization method and device, electronic equipment and a readable storage medium, and relates to the technical field of computers. The method comprises the following steps: dividing a target project into a Stores layer comprising a Store class, an Action layer comprising an Action class used for indicating interaction logic, and a Views layer comprising components, the storage ranges of different layers are different, the Store class comprises a property file, and the Action class comprises at least one Action function; and modifying a target file corresponding to a received modification operation, wherein the target file is a property file or an Action function specified by the modification operation. In this way, by layering the project, different layers correspond to different storage ranges, which facilitates management, and when modification is required, the search range can be reduced, and the file to be modified can be found from the corresponding storage range.