UiPath had 26 patents in robotics 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, systems and methods for annotating exclusive-or nodes in a process model are also disclosed. These innovations aim to improve the efficiency and accuracy of RPA processes by enhancing schema identification, process automation, and workflow annotation. 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 robotics as a theme is 50% 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, allowing for efficient automation of tasks involving various types of targets such as web pages, GUIs, images, databases, and more.
The system utilizes computer vision, OCR, and document processing models to identify labels and types of targets, while semantic matching is based on a trained model that associates words and phrases with contextual labels. The method also involves receiving corrections to improve semantic matching accuracy and storing these corrections for retraining the model. By combining target-based schema identification with semantic mapping, the system enables RPA robots to accurately interpret and process information from different sources, enhancing the efficiency and effectiveness of automation processes.
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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.
