Abstract: The titanium-containing oxide slag, low-purity silicon and slagging fluxes are subject to reduction smelting together, and a bulk Si—Ti intermediate alloy is obtained by slag-metal separation; the obtained bulk Si—Ti intermediate alloy is crushed into Si—Ti intermediate alloy particles; and the obtained Si—Ti intermediate alloy particles are used as an anode, metallic molybdenum or metallic nickel as a cathode, metallic titanium as a reference electrode, and NaCl—KCl—NaF together with small amounts of Na3TiF6 or K3TiF6 as a molten salt, to carry out the electrolysis under a high-purity argon atmosphere at a temperature of 973 K. Ti in the Si—Ti intermediate alloy particles dissolved at the anode and deposited at the cathode, while Si in the Si—Ti intermediate alloy particles fell off from the anode as metallic silicon powder.

Abstract: A dynamic learning method for a robot includes a training and learning mode. The training and learning mode includes the following steps: dynamically annotating a belonging and use relationship between an object and a person in a three-dimensional environment to generate an annotation library; acquiring a rule library, and establishing a new rule and a new annotation by means of an interactive demonstration behavior based on the rule library and the annotation library; and updating the new rule to the rule library and updating the new annotation to the annotation library when it is determined that the established new rule is not in conflict with rules in the rule library and the new annotation is not in conflict with annotations in the annotation library.

Abstract: A robot control method includes: the first control instruction of the robot is obtained; the behavior blueprint corresponding to the first control instruction is determined, the behavior blueprint including the plurality of blueprint nodes connected according to the target sequence; and the preset functions corresponding to the blueprint nodes are executed according to the target sequence. The preset functions corresponding to the blueprint nodes may include the atomic API ability, the meta skill and the task skill. The atomic API ability is used for characterizing a specific function executed by the robot through a component, the meta skill is used for characterizing a function of an execution unit of the robot, the task skill is used for characterizing a function of user-oriented execution of a target task by the robot, the robot includes one or a plurality of execution units, and each execution unit includes one or more components.

Abstract: An action learning method, including: acquiring human body moving image data; determining three-dimensional human body pose action data corresponding to the human body moving image data; matching the three-dimensional human body pose action data with atomic actions in a robot atomic action library to determine robot action sequence data corresponding to the human body moving image data; performing action continuity stitching on all robot sub-actions in the robot action sequence data sequentially; determining a continuous action learned by a robot from the robot action sequence data subjected to the action continuity stitching.

Abstract: A dynamic learning method for a robot includes a training and learning mode. The training and learning mode includes the following steps: dynamically annotating a belonging and use relationship between an object and a person in a three-dimensional environment to generate an annotation library; acquiring a rule library, and establishing a new rule and a new annotation by means of an interactive demonstration behavior based on the rule library and the annotation library; and updating the new rule to the rule library and updating the new annotation to the annotation library when it is determined that the established new rule is not in conflict with rules in the rule library and the new annotation is not in conflict with annotations in the annotation library.

Abstract: The present disclosure provides an article positioning method and system, which can achieve visual tracking and positioning of articles. The method includes: when each article enters a conveying queue, identifying an appearance attribute of the article through a monitoring camera to determine identification information of the article; determining an article sequence of the conveying queue after the article is added according to the location of the article entering the conveying queue and the identification information of the article; and positioning the article in the conveying queue through the appearance attribute of each article and the article sequence.