A method for robotic assembly includes: receiving product data including product structure data and/or product geometry data of a product with a base component and at least one assembly part to be assembled; analyzing the product data to determine robot functions relating to functions of a robot for assembly of the product as determined robot functions; generating a robot program including assembly instructions dependent on the determined robot functions and the product data; and executing the generated robot program so as to identify and/or localize the at least one assembly part and assemble the product.

A computer-implemented method executed by a robotic system for performing a positional search process in an assembly task is presented. The method includes decomposing, by the robotic system, a perturbation motion into a plurality of actions, the perturbation motion being a motion for an assembly position searched by the robotic system, each action of the plurality of actions related to a specific direction. The method further includes performing reinforcement learning by selecting an action among decomposed actions and assembly movement actions at each step of the positional search process based on corresponding force-torque data received from at least one sensor associated with the robotic system. The method also includes outputting a best action at each step for completion of the assembly task as a result of the reinforcement learning.

A computer-implemented method executed by a robotic system for performing a positional search process in an assembly task is presented. The method includes decomposing, by the robotic system, a perturbation motion into a plurality of actions, the perturbation motion being a motion for an assembly position searched by the robotic system, each action of the plurality of actions related to a specific direction. The method further includes performing reinforcement learning by selecting an action among decomposed actions and assembly movement actions at each step of the positional search process based on corresponding force-torque data received from at least one sensor associated with the robotic system. The method also includes outputting a best action at each step for completion of the assembly task as a result of the reinforcement learning.

Embodiments of the present disclosure provide a pre-welding addressing method and system. The pre-welding addressing method includes: obtaining product information of a to-be-addressed battery pack, in response to the battery pack getting in position, where the battery pack includes a plurality of cells, and the product information includes initial addressing coordinates of a plurality of cell terminal posts; obtaining positioning deviation values of the plurality of cell terminal posts based respectively on the initial addressing coordinates of the plurality of cell terminal posts, where the positioning deviation values of the cell terminal posts are determined based on addressing images of the cell terminal posts that are acquired by an addressing camera module; and determining target addressing coordinates of the plurality of cell terminal posts based respectively on the initial addressing coordinates of the plurality of cell terminal posts and the positioning deviation values of the plurality of cell terminal posts.