Modular Food Processing Machine for Parallel Order Customization
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Solution Overview
Problem
Existing automatic food processing machines face limitations in flexibility, throughput capacity, and quality due to reliance on universal robotics, manual assembly, and limited ingredients, leading to high costs and inefficiencies.
Innovation Solution
A flexible automatic food processing and client orders execution machine utilizing autonomous robots that move independently and simultaneously, transfer ingredients between stations, and perform synchronized rotational and linear movements to customize food items according to client orders, with interchangeable dispensers and modular matrix frames for parallel processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If universal robotics are used to automate food preparation, then automation level increases, but throughput capacity remains limited to one employee's speed
Solution Approach 1:
The system divides the food preparation process into multiple specialized robotic arms, each performing specific tasks (dough preparation, sauce application, topping placement, etc.). This segmentation allows parallel execution of multiple operations simultaneously, increasing throughput capacity beyond what a single robot could achieve while maintaining high automation levels.
Solution Approach 2:
The robotic system employs multi-functional components that can perform various operations. For example, the robotic arms are equipped with different end-effectors and can be programmed to execute multiple tasks, allowing the system to handle diverse food preparation requirements while maintaining efficient parallel processing.
2Manufacturing precision
If CNC-like machines with linear motion modules are used, then manufacturing precision increases, but flexibility and speed are limited
Solution Approach 1:
The system replaces rigid linear motion modules with dynamic robotic arms that can adapt their movement patterns in real-time. The robotic arms use advanced control algorithms to achieve precise positioning while maintaining flexibility to handle various food items and preparation methods, overcoming the limitations of fixed CNC-like mechanisms.
Solution Approach 2:
The robotic system dynamically adjusts operational parameters such as speed, acceleration, and positioning accuracy based on the specific task requirements. This allows the system to maintain high precision when needed while optimizing for speed and flexibility in other phases of food preparation, unlike fixed-parameter CNC machines.
3Extent of automation
If pizza vending machine format is used, then automation increases, but food quality deteriorates due to limited ingredients and frozen dough
Solution Approach 1:
The system performs preliminary preparation of high-quality ingredients in advance, including fresh dough making and ingredient pre-processing, before the actual pizza assembly. This allows the use of premium ingredients without compromising automation efficiency, as the time-consuming preparation steps are completed beforehand by specialized robotic stations.
Solution Approach 2:
The robotic system replicates the skills and techniques of skilled human pizzaiolos through sophisticated control algorithms and sensor feedback. This allows the automation to achieve restaurant-quality results by copying expert human movements and decision-making processes, rather than relying on limited pre-programmed sequences.
4Ease of operation
If robot arms are used to copy human behavior, then ease of operation improves, but device complexity increases due to constraints related to human-like movement
Solution Approach 1:
The system replaces complex mechanical human-like arm structures with more efficient robotic mechanisms that achieve the same operational goals through different means. Advanced sensors, computer vision systems, and control algorithms substitute for the mechanical complexity of replicating human anatomy, simplifying the overall system while maintaining ease of operation.
Data Source
AI summary
The present technology is to be used in used in pizzerias and other food restaurants to fully substitute manual labor in food processing. The present technology utilizes a modular principle for flexibility. It allows tuning the machine to (1) different dishes like pizza, chicken wings or hamburgers (2) different sizes and shapes of the room and (3) different orders capacity. The machine utilizes autonomous driving robots with autopilot for food logistics between ingredient stations and for the refilling of the stations with ingredients. Autonomous autopilot robot allows to precisely position the food to cook, e.g. pizza, with the ingredient station for precisely topping or other food processing. Precise interposition allows deep food customization by a client with the possibility of making drawings on food using ingredients. The matrix modular structure of the machine allows parallel orders execution. It is extremely beneficial in peak hours.