Robotic Manager Platform for Automated Task Execution
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Solution Overview
Problem
Current tools lack a fully integrated solution for quickly implementing robotic managers (RMs) with both basic and expert skills across various domains, requiring a comprehensive software platform, data model, and implementation method that includes pre-populated data sets and configuration files to automate tasks typically performed by human managers.
Innovation Solution
The MAP System, which includes a software platform and data model, enables the creation of robotic managers (RMs) with basic and expert skills through reusable software and data components, allowing for iterative and parallel implementation across multiple domains, enhancing both breadth and depth of skills over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If various separate tools (data visualization, graph databases, machine learning libraries) are used to assist manager tasks, then functional capabilities are provided, but integration and implementation speed are insufficient
Solution Approach 1:
The patent combines multiple separate tools (data visualization libraries, graph databases, machine learning libraries, in-memory databases) into a single integrated robotic manager platform. This merging eliminates the need to manually integrate these components and provides a unified system that delivers both basic and expert skills seamlessly.
Solution Approach 2:
The robotic manager platform is designed as a universal system that can perform multiple functions across different domains. It provides basic skills (visual recognition, voice command processing, data visualization) and expert skills (finance, risk management, cyber security) through a single multi-functional platform, eliminating the need for separate specialized tools.
2Adaptability or versatility
If expert skills are added across multiple domains to enhance RM capabilities, then skill breadth and depth improve, but implementation time and complexity increase
Solution Approach 1:
The patent pre-populates the robotic manager with comprehensive data sets and configuration files across multiple domains (finance, risk management, cyber security, information technology) before deployment. This preliminary action allows the RM to immediately possess expert skills in multiple domains without requiring time-consuming customization or data collection during implementation.
Solution Approach 2:
The patent segments expert skills into distinct domains (finance, risk management, cyber security, information technology) that can be independently configured and activated. This segmentation allows organizations to selectively enable only the domains they need, reducing implementation time while maintaining the capability to add more domains later as required.
3Productivity
If a fully integrated solution with pre-populated data sets and configuration files is implemented, then implementation speed improves, but system complexity and resource requirements increase
Solution Approach 1:
The patent uses pre-populated data sets and configuration files that can be copied and deployed across multiple robotic managers. This copying approach allows rapid deployment of complex, fully-integrated solutions without requiring manual setup for each instance, thereby increasing implementation speed while managing system complexity through template-based replication.
Data Source
AI summary
In one embodiment, the present invention may be implemented as a software platform, data model and method to build robotic managers (RM). A robotic manager is, in one embodiment, a computer system that automates tasks performed by a human manager. A MAP RM has a skillset which may be divided into two categories: 1) basic skills such as visual recognition, voice command processing, data visualization, unstructured search, and 2) expert skills such as finance, risk management, cyber security, and information technology. Expert skills may be categorized by domain.