Modular Robot Assembly Correction System
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Solution Overview
Problem
Existing modular robots lack effective methods for verifying correct assembly, leading to repetitive and error-prone user experiences due to fixed configurations and lack of functional scalability, resulting in high development costs and restricted application.
Innovation Solution
A correction method and system for constructing modular robots, which involves acquiring configuration information of a target robot and a constructed entity model, determining matching results, and performing corrections based on these results, including location and type errors, using unique interface identification information and face recognition to guide users in correcting assembly errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If modular robots are assembled by users without verification guidance, then assembly flexibility and user autonomy are improved, but assembly accuracy and reliability deteriorate due to lack of error detection
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors the assembly process by comparing the constructed entity model with the target modular robot configuration. Error information is fed back to users through specific error codes and messages, guiding them to correct assembly mistakes without preventing autonomous assembly operations.
Solution Approach 2:
The system performs preliminary verification by acquiring configuration information of the target modular robot before assembly begins, and continuously compares it with the constructed entity model during assembly. This preliminary and ongoing verification prevents errors from propagating and ensures assembly accuracy while maintaining user autonomy.
2Device complexity
If modular robots lack configuration verification, then device complexity is reduced, but loss of information occurs as users cannot verify assembly correctness
Solution Approach 1:
The patent introduces an intermediary verification system that acts as a mediator between the user's assembly actions and the final assembly result. This system includes modules for acquiring target configuration information, constructing entity model information, and comparing them to identify errors. The intermediary provides error information without adding significant complexity to the physical assembly process.
3Manufacturing precision
If repeated assembly work is required due to lack of error detection, then manufacturing precision can be improved through rework, but productivity deteriorates due to time loss
Solution Approach 1:
The system provides immediate feedback on assembly errors through error codes and descriptive messages, enabling users to correct mistakes during the assembly process rather than discovering them afterward. This real-time feedback prevents the need for repeated disassembly and reassembly, improving both precision and productivity.
Solution Approach 2:
By performing configuration verification preliminarily and continuously during assembly, the system identifies errors before they become permanent mistakes. This preliminary detection prevents the need for rework, thereby maintaining high assembly precision while preserving productivity by avoiding time-consuming repeated assembly operations.
Data Source
AI summary
The present disclosure relates to the field of modular robot control, and more particularly to a correction method and system for constructing a modular robot thereof. The correction method and system for constructing a modular robot according to the present invention can be corrected according to whether the assembly structure matches the target structure during the assembly of the modular robot, avoiding repeated assembly work by users, Which brings a good user experience to users.