Siemens had 44 patents in robotics during Q4 2023. Siemens AG filed patents in Q4 2023 for methods and systems related to executing technical processes with hierarchically structured tasks, generating optimal robotic systems using generative modeling techniques, monitoring robotic systems using acoustic signals, detecting contact forces with a flexible force measurement film, and configuring control devices through Pareto optimization. GlobalData’s report on Siemens gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

Siemens grant share with robotics as a theme is 25% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Planning a technical process having hierarchically structured tasks and parallelization options (Patent ID: US20230418249A1)

The patent filed by Siemens AG describes a computer-implemented method for executing a technical process involving hierarchically structured tasks and the modification of physical units. The method includes providing dependency specifications for tasks, deriving parallelization options from these specifications, generating an action sequence based on the options, and executing the sequence to implement the tasks. The method also involves receiving process data to reflect the actual state of the process, generating a second action sequence based on this data, and executing tasks based on this new sequence, which may replace, follow, or halt the original sequence.

Furthermore, the patent outlines that the technical process can be executed by various production units such as machines, robots, or automation units, and can involve processes like manufacturing, logistics, traffic management, or transport. Dependency specifications for tasks are defined in terms of process sequence, causal dependencies, interaction relations, temporal information, required resources, simultaneously executed tasks, and necessary tools. The method also includes hierarchy specifications for tasks, where tasks at different hierarchical levels define the process in greater detail. Additionally, user input can lead to the generation of a new action sequence, which may replace, follow, or halt the existing sequences. The patent also mentions that parallelization options provide specifications for the temporal parallelization of tasks within the process.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.