UiPath had 11 patents in robotics during Q2 2024. UiPath Inc’s patents in Q2 2024 focus on enhancing robotic process automation (RPA) through process evolution, RPA workflow micro-optimization, and task mining. The company’s innovations include using AI for planning and implementing RPA, integrating DevOps activities into RPA design interfaces, extracting features from screen images for task mining, and allocating computing environments for RPA workloads. Additionally, UiPath Inc’s patents involve merging task graphs to streamline automatable tasks, ultimately improving the efficiency and effectiveness of RPA implementations. GlobalData’s report on UiPath gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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UiPath had no grants in robotics as a theme in Q2 2024.
Recent Patents
Application: Process evolution for robotic process automation and workflow micro-optimization (Patent ID: US20240208049A1)
The patent filed by UiPath Inc. discloses a method for process evolution in robotic process automation (RPA) through the use of artificial intelligence (AI) and embedded analytics. The process involves receiving a plan for RPA implementation, performing analytics on the plan data to measure and align RPA operations with outcomes, and generating RPA workflows for automation based on the analytics. These workflows define the execution order of activities for RPA robots to interact with computing systems. The method also includes iteratively repeating the process to improve RPA effectiveness, identifying new processes for automation, and prioritizing activities in RPA workflows based on performance criteria.
Furthermore, the patent describes a computer-implemented method and system for RPA workflow micro-optimization. This involves analyzing and prioritizing activities in RPA workflows, modifying workflows based on performance criteria, running RPA robots to test the modifications, and confirming goal achievement and performance improvement. If the goal is not met, the system reverts to the original workflow and suggests further modifications. Once the goal is achieved, the RPA robot is deployed. The system aims to enhance RPA efficiency by continuously analyzing data, suggesting new processes for automation, and optimizing RPA workflows based on performance feedback.
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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.
