Drone-Based Assembly Guidance System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Drones have not been effectively utilized to assist users in assembling objects, despite their growing ubiquity, as they lack the capability to provide meaningful help in complex tasks such as furniture assembly, which requires tool delivery and guidance based on user expertise and task requirements.
Innovation Solution
A drone-based system equipped with imaging devices, tool-carrying mechanisms, and circuitry for determining user cohorts and assessing tasks, which provides tools and guidance to users during assembly by using RFID tags, deep neural nets, and natural language processing to identify tools and adjust instructions according to user experience levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a drone-based system is used to deliver tools and provide assembly guidance, then user assembly efficiency is improved, but device complexity increases
Solution Approach 1:
The drone is designed to perform multiple functions: it serves as both a tool delivery vehicle and a mobile guidance system. The imaging devices capture assembly scenes, the circuitry processes task and user cohort information, and the drone simultaneously delivers physical tools while providing instructional guidance, consolidating multiple assembly assistance functions into a single platform.
Solution Approach 2:
The drone acts as an intermediary between the user and the assembly task. It mediates the assembly process by delivering required tools to the user and providing tailored guidance based on assessed task complexity and user expertise, thereby simplifying the interaction between the user and the complex assembly process.
2Adaptability or versatility
If the drone provides tailored instructions based on user cohort and task assessment, then adaptability is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary assessment of the user cohort and task characteristics before providing guidance. The circuitry evaluates user expertise level and task complexity in advance, allowing the drone to pre-adjust the type and detail of instructions it will provide, thereby achieving adaptability without requiring complex real-time adjustments during the assembly process.
Solution Approach 2:
The instruction provision is made dynamic and adjustable based on assessed parameters. The system adapts the level of detail, type, and complexity of guidance provided according to the user's assessed expertise and the task's assessed complexity, allowing the same drone to provide different levels of assistance for different users and tasks.
3Measurement precision
If imaging devices and RFID tags are used for tool identification, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system merges multiple identification technologies into a unified tool recognition approach. Imaging devices capture visual information about tools and parts, while RFID tags provide automated identification when tools are placed in designated locations. The circuitry integrates data from both sources to accurately identify required tools and verify their presence, combining the strengths of visual and electromagnetic identification methods.
Data Source
AI summary
A drone-based system determines a user cohort for one or more users to assemble an object. The drone-based system assesses a task for the one or more users to assemble the object. Based on the determined user cohort and the assessed task, a drone of the drone-based system provides help to the one or more users as the one or more users assemble the object. The drone-based system may comprise a drone and one or more memories and computer readable code and one or more processors. The one or more processors, in response to execution of the computer readable code, cause the drone-based system to perform operations. The drone-based system may be only the drone or the drone and one or more servers.