Buildability Analysis for Adaptive Robotic Task Sequencing
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Solution Overview
Problem
Automated manufacturing processes face challenges in adapting to deviations from the intended product model during construction, leading to potential defects and inefficiencies, as existing systems lack the ability to dynamically adjust task sequences in real-time to ensure buildability and meet specifications.
Innovation Solution
A system that performs buildability analysis throughout the construction process, allowing for the generation of new task sequences if deviations occur, ensuring the product meets the model specifications by utilizing a tree structure to optimize task execution and resource allocation, thereby preserving work already done.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If automated manufacturing processes strictly follow the intended product model, then manufacturing precision is maintained, but the system cannot adapt to deviations occurring during construction
Solution Approach 1:
The system dynamically adjusts the task sequence based on real-time buildability analysis. When deviations are detected during construction, the system generates alternative task sequences that accommodate the as-built conditions while striving to meet the original product specifications. This dynamic adaptation resolves the contradiction by making the system flexible without sacrificing precision goals.
Solution Approach 2:
The system performs continuous buildability analysis during the construction process, comparing the as-built product against the intended model and adjusting the task sequence accordingly. This feedback mechanism enables the system to detect deviations, evaluate their impact on buildability, and generate corrective task sequences that maintain manufacturing precision while adapting to actual conditions.
2Adaptability or versatility
If the system generates a new task sequence when deviations occur, then adaptability improves, but system complexity increases
Solution Approach 1:
The task sequence is segmented into discrete, manageable tasks that can be independently analyzed and reorganized. The buildability analysis evaluates individual tasks and their prerequisites, allowing the system to generate alternative sequences by reordering or modifying specific task segments rather than redesigning the entire process, thus managing complexity.
Solution Approach 2:
The system pre-establishes multiple alternative task sequences and stores them for rapid deployment. When deviations occur, the system can quickly select and execute a pre-planned alternative sequence rather than generating a completely new sequence in real-time, reducing the computational complexity and response time required for adaptation.
3Productivity
If the system continues building from the as-built portion, then productivity is maintained, but risk of defects increases
Solution Approach 1:
The continuous buildability analysis provides real-time feedback on the quality and compliance of the as-built portion against the intended model. This feedback enables the system to identify potential defect risks early and adjust subsequent tasks to correct or compensate for deviations, maintaining productivity while mitigating reliability risks through informed decision-making.
Solution Approach 2:
The system performs preliminary buildability analysis before executing each task to assess whether continuing from the current as-built state will lead to defects. This preliminary evaluation allows the system to proactively adjust the task sequence or alert operators to potential issues before they manifest as actual defects, balancing continuous production with quality assurance.
Data Source
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AI summary
Disclosed herein is a worksite automation process that involves: generating a first sequence of tasks to build the product according to a model. The process further involves causing one or more robotic devices to build the product by beginning to execute the first sequence of tasks. Further, during the execution of the first sequence of tasks, performing a buildability analysis to determine a feasibility of completing the product by executing the first sequence of tasks. Based on the analysis, determining that it is not feasible to complete the product by executing the first sequence of tasks, and in response, generating a second sequence of tasks to complete the product according to the model. Then, causing the one or more robotic devices to continue building the product by beginning to execute the second sequence of tasks.