Robotic Build Planning with Real-Time Buildability Adaptation
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Solution Overview
Problem
Automated manufacturing processes face challenges in adapting to deviations from product models during construction, leading to potential defects and inefficiencies, as existing systems struggle to adjust sequences of tasks in real-time to ensure buildability without altering the product model.
Innovation Solution
A computer-implemented method and system that performs buildability analysis to detect deviations and generates new sequences of tasks, allowing robotic devices to continue building a product according to the original model by adapting to issues encountered during the construction process, preserving work already done and minimizing the need for intensive computing and time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system executes the first sequence of tasks to build the product according to the model, then the product can be built following the original plan, but deviations may occur that prevent successful completion
Solution Approach 1:
The system dynamically adjusts the task sequence based on real-time buildability analysis results. When deviations are detected during execution, the system generates and implements alternative task sequences, transforming a static construction plan into a dynamic adaptive process that responds to changing conditions while maintaining product quality standards.
Solution Approach 2:
The system performs buildability analysis during task execution to detect deviations from the product model. This feedback mechanism identifies issues such as geometric conflicts or manufacturing constraints that prevent successful completion, enabling the system to adjust the task sequence accordingly and maintain reliable product construction.
2Reliability
If the system generates a new sequence of tasks to accommodate deviations, then the product can still be completed according to the model, but additional computing time and complexity are required
Solution Approach 1:
The system performs buildability analysis during the execution of the first task sequence to identify potential issues before they prevent product completion. By detecting deviations early and generating alternative task sequences proactively, the system avoids costly rework and minimizes delays, ensuring timely product completion even when adjustments are needed.
3Manufacturing precision
If the system performs buildability analysis during task execution, then deviations can be detected and corrected, but the manufacturing process becomes more complex
Solution Approach 1:
The system performs self-diagnosis through automated buildability analysis during task execution. By using its own resources and algorithms to detect deviations and generate corrective task sequences, the system maintains high manufacturing precision without requiring external intervention, balancing accuracy with operational simplicity.
Data Source
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.