Semantic Robotic Device for Multi-Device Data Inference
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Solution Overview
Problem
Existing robotic systems lack the ability to efficiently capture and analyze data from multiple devices or services to perform optimized manipulation and augmentation based on semantic goals, limiting their effectiveness in dynamic environments.
Innovation Solution
A semantic robotic device equipped with a processor, memory, and transceiver that captures data from various sources, performs semantic analysis, and manipulates applications or services to achieve affirmative outcomes aligned with specific goals, emulating input device interactions and refining capabilities through semantic inference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing robotic systems are used without semantic analysis capabilities, then device complexity is reduced, but productivity and adaptability are limited
Solution Approach 1:
The patent introduces a semantic analysis module as an intermediary between data capture and task execution. This module processes and interprets captured data to generate meaningful insights, enabling the robotic system to make intelligent decisions without requiring complex hard-coded logic throughout the entire system architecture
Solution Approach 2:
The system is divided into distinct functional modules: data capture module, semantic analysis module, and task execution module. This segmentation allows each module to specialize in specific functions, improving overall productivity while keeping individual module complexities manageable
2Adaptability or versatility
If semantic analysis is applied to capture and analyze data from multiple devices, then adaptability and intelligence are improved, but device complexity increases
Solution Approach 1:
The semantic analysis module serves multiple functions: it captures data from various devices, analyzes the data for patterns and meanings, generates insights, and translates them into actionable tasks. This multi-functionality improves adaptability while avoiding the need for separate specialized systems for each function
Solution Approach 2:
The system automatically processes and interprets captured data without requiring constant human intervention. The semantic analysis module autonomously generates insights and determines appropriate actions, enabling the robotic device to adapt to new environments and tasks independently
Data Source
AI summary
A semantic robotic device includes a processor, transceiver, and a memory storing software applications. The processor is arranged to ingest user guidelines for the software applications, and to infer capabilities semantics associated with them. The processor further emulates user input device signals and communicates them to a target device to launch and operate the software applications, and to capture data from user interface controls. Semantic inference is performed on the data to determine semantic factorization with respect to a semantic goal, and to determine a software application which is more affirmatively factorized in rapport with the semantic goal. The processor emulates further input device signals and communicates them to the target device, based on the determination regarding affirmative factorization of the software applications.