Core Concepts
Introducing AUTONODE, a cognitive automation framework utilizing neuro-graphic techniques for efficient GUI automation.
Abstract
The AUTONODE framework revolutionizes Robotic Process Automation (RPA) by combining cognitive functionalities with robotic automation. It employs neuro-graphical operations to navigate web interfaces autonomously without predefined scripts. The DoRA module enhances the system's focus on relevant screen areas and mitigates spurious content issues. AUTONODE's architecture evolves from basic to intricate versions, aiming to bridge conventional RPA with cognitive automation. The framework integrates YOLO-V8, OCR technologies, and GPT4-V API for decision-making processes based on visual inputs. The iterative refinement process improves task execution efficiency and adaptability in dynamic web environments.
Stats
Success Rate of Process A: 49.92%
Success Rate of Process B: 70.58%
Success Rate of Process C: 85.73%
Quotes
"The engine empowers agents to comprehend and implement complex workflows."
"Our methodology synergizes cognitive functionalities with robotic automation."
"AUTONODE's accuracy surpasses that of many existing self-operating computer architectures."