Siemens had 73 patents in robotics during Q1 2024. Siemens AG filed patents in Q1 2024 for methods and systems related to safety assessment of automated vehicles, upgrading automation functions via PLCs, image-based guidance for ultrasound interventions, encapsulating winding overhangs in electric machines, and improving robotic picking efficiency through bin pose estimation using depth images. GlobalData’s report on Siemens gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Siemens grant share with robotics as a theme is 31% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Generating unknown-unsafe scenarios, improving automated vehicles, and computer system (Patent ID: US20240092394A1)
The patent filed by Siemens AG describes a computer-implemented method for generating unknown-unsafe scenarios to assess and improve the safety of automated vehicles. The method involves providing a variety of scenarios and then reducing them to scenarios that are unknown-unsafe, based on severity indicators related to criticality over time. This process helps in efficiently designing and testing automated vehicles for safety.
Furthermore, the patent details a method for improving the safety of automated vehicles by utilizing a driver assistance system that can be configured with ADAS-parameter settings based on simulations of unknown-unsafe scenarios. By testing different parameter settings and selecting the most effective ones, the driver assistance system can be optimized for better performance in handling potential safety risks. This approach allows for proactive safety measures to be implemented in automated vehicles, enhancing their overall safety and reliability on the road.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
