Dynamic Fabrication Planning With Real-Time Constraint Adjustment
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Solution Overview
Problem
Existing fabrication systems face challenges in automatically generating feasible fabrication plans and dynamically adjusting during the process due to the complexity of digital models and the need for human intervention, leading to inefficiencies and material waste.
Innovation Solution
A dynamic fabrication system with an automated fabrication engine that processes digital models to generate fabrication plans, employs a scoring mechanism to select feasible plans, and monitors execution in real-time to iteratively adjust the process, prioritizing constraints based on structural integrity and cosmetic appearance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated fabrication systems generate fabrication plans from complex digital models, then productivity increases, but device complexity increases and manufacturing precision may deteriorate due to the large number of possible end results
Solution Approach 1:
The fabrication engine is divided into distinct functional modules: a model processing module that extracts constraints and identifies components from digital models, and a task planning module that generates executable fabrication plans. This segmentation manages system complexity by organizing functions into manageable, independent units that can be developed and maintained separately while working together to solve the overall fabrication planning problem.
Solution Approach 2:
The patent introduces an intermediary scoring mechanism that evaluates multiple possible fabrication plans and selects the most feasible one. This intermediary layer acts as a mediator between the complex digital model with numerous possible interpretations and the final fabrication execution, filtering out invalid plans and ensuring manufacturing precision is maintained despite the complexity of automated plan generation.
2Manufacturing precision
If automated fabrication systems evaluate all possible end results to ensure constraint satisfaction, then manufacturing precision improves, but loss of time increases due to the large number of valid outcomes
Solution Approach 1:
Instead of exhaustively evaluating all possible fabrication plans, the system employs a scoring mechanism that partially evaluates plans based on key criteria extracted from digital models. This partial action approach maintains manufacturing precision by checking essential constraints while avoiding the time-consuming process of evaluating every possible end result, thus resolving the contradiction between precision and time loss.
Solution Approach 2:
The patent replaces the mechanical/exhaustive evaluation process with an information-based scoring system. Rather than physically testing or evaluating each possible fabrication plan in detail, the system uses computational scoring to quickly assess plan feasibility based on extracted constraints, substituting comprehensive mechanical evaluation with efficient information processing.
3Ease of operation
If fabrication systems perform minimal task planning without user input, then ease of operation improves, but reliability decreases due to the challenge of identifying appropriate task sequences
Solution Approach 1:
The fabrication engine incorporates feedback mechanisms where the scoring mechanism evaluates generated plans against constraints extracted from digital models and adjusts plan generation accordingly. This feedback loop ensures that even with minimal user input, the system reliably identifies feasible task sequences by continuously checking plan validity and refining selections based on constraint satisfaction.
Solution Approach 2:
The system performs self-service by automatically extracting constraints from digital models and using these constraints to evaluate and select appropriate fabrication plans without requiring user input. The fabrication engine serves itself by generating and evaluating plans autonomously, maintaining reliability through automated constraint checking while improving ease of operation.
Data Source
AI summary
Systems, methods, devices, and other techniques for a dynamic fabrication system. In some implementations, a computing system obtains a digital model of a physical structure. A fabrication plan for the physical structure is generated. The fabrication plan is provided to a fabrication system to execute the automated fabrication procedure according to the fabrication plan. A set of operations are performed for each of at least a subset of tasks from a set of tasks executed by the fabrication system during an automated fabrication procedure to identify an adjusted fabrication plan. The fabrication system is directed to continue execution of the automated fabrication procedure according to the adjusted fabrication plan.