Uipath, inc. (20240231896). DETECTION OF VARIANTS OF AUTOMATABLE TASKS FOR ROBOTIC PROCESS AUTOMATION simplified abstract
Contents
DETECTION OF VARIANTS OF AUTOMATABLE TASKS FOR ROBOTIC PROCESS AUTOMATION
Organization Name
Inventor(s)
Justin Marks of Redmond WA (US)
Therese Fehrer of Eindhoven (NL)
Charles Park of Bellevue WA (US)
Yunjing Ma of Bellevue WA (US)
DETECTION OF VARIANTS OF AUTOMATABLE TASKS FOR ROBOTIC PROCESS AUTOMATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240231896 titled 'DETECTION OF VARIANTS OF AUTOMATABLE TASKS FOR ROBOTIC PROCESS AUTOMATION
Simplified Explanation: The patent application describes systems and methods for determining variants of an automatable task based on user interaction data generated from task flow data using task mining and a machine learning model.
Key Features and Innovation:
- Receive task flow data of an automatable task performed by users.
- Generate task flow data based on user input using task mining.
- Identify user interaction data from the task flow data.
- Determine variants of the automatable task using a machine learning model.
- Output the determined variants of the automatable task.
Potential Applications: This technology can be applied in various industries such as automation, process optimization, and user experience design.
Problems Solved: This technology addresses the need for efficient and personalized automation solutions by determining variants of automatable tasks based on user interaction data.
Benefits:
- Improved task automation efficiency.
- Personalized user experience.
- Enhanced process optimization.
Commercial Applications: The technology can be utilized in industries such as software development, customer service, and manufacturing to streamline processes and improve user satisfaction.
Prior Art: Readers can explore prior research on task mining, machine learning in automation, and user interaction data analysis to understand the background of this technology.
Frequently Updated Research: Stay updated on advancements in task mining algorithms, machine learning models for user interaction analysis, and applications of automation in various industries.
Questions about the Technology: 1. What are the key components of the machine learning model used to determine variants of automatable tasks? 2. How does task mining contribute to the generation of task flow data for analyzing user interactions?
Original Abstract Submitted
systems and methods are provided for determining variants of an automatable task. task flow data of a performance of an automatable task by one or more users is received. the task flow data is generated based on user input using task mining. user interaction data is identified from the task flow data. one or more variants of the automatable task are determined based on the user interaction data using a machine learning based model. the one or more variants of the automatable task are output.
