An action generation method and device of an electric robot, an electronic device, and a storage medium

Abstract

The application discloses a motion generation method and device of an electric power robot, electronic equipment and a storage medium, and belongs to the technical field of artificial intelligence. The method comprises the following steps: acquiring instruction data and environment data in the working process of the electric power robot, performing feature fusion to form multi-modal semantic features; inputting the multi-modal semantic features into a motion generation model to generate an initial action sequence; calculating an inference loss function value of the initial action sequence based on an inference loss function containing a hardware constraint penalty term; when the inference loss function value does not exceed a preset constraint penalty threshold, directly determining the initial action sequence as a target action sequence; when the inference loss function value exceeds the threshold, iteratively correcting the initial action sequence until a target action sequence meeting a hardware constraint set is generated; and driving the electric power robot to perform an action according to the target action sequence. Through implementation of the application, the problem of low motion generation efficiency of the electric power robot in the prior art can be solved.

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