UiPath had 27 patents in artificial intelligence during Q4 2023. UiPath Inc has filed patents related to target-based schema identification and semantic mapping for robotic process automation (RPA), as well as the use of generative artificial intelligence (AI)/machine learning (ML) models to determine sequences of user interactions and generate RPA robots. Additionally, a patent has been filed for a computing device that accesses distributed packaged robotic processes to generate local robotic processes without changing the original code. GlobalData’s report on UiPath gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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UiPath grant share with artificial intelligence as a theme is 44% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Target-based schema identification and semantic mapping for robotic process automation (Patent ID: US20230419161A1)
The patent filed by UiPath Inc. discloses a system and method for target-based schema identification and semantic mapping for robotic process automation (RPA). The system involves receiving an empty target, performing schema identification to determine labels and the type of the target, and then conducting semantic matching between the target labels and key-value pairs of a source. This process can be executed at design time or runtime, enhancing the efficiency and accuracy of RPA tasks.
The system utilizes computer vision, OCR, and document processing models to identify labels and types of targets, such as web pages, GUIs, images, databases, and more. It also involves training a semantic matching model with words, phrases, and contextual labels to improve accuracy. Additionally, the system allows for corrections in the source or target data to be stored for retraining the semantic matching model, ensuring continuous improvement in the RPA process. Overall, the patent introduces a comprehensive approach to automating schema identification and semantic mapping, optimizing RPA performance and effectiveness.
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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.
