Robot Handling Control Using Reference Product Parameters
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Solution Overview
Problem
Existing methods for controlling robot devices in logistic applications require customization for each specific item, making the process time-consuming and inefficient due to the need for fine-tuning acceleration and speed based on parameters like weight and center of gravity, which is not adaptable for a wide range of products.
Innovation Solution
A method for dynamic control of robot devices using configurable parameters and reference products to optimize speed modulation, allowing for efficient handling of various items without requiring programming, by determining product and robot characteristics and adjusting configuration parameters based on comparison with reference values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If mathematical formulas are used to determine item handling parameters for each specific product, then handling precision is improved, but device complexity and time consumption increase due to customization requirements
Solution Approach 1:
The patent uses reference products as templates or copies of ideal handling scenarios. By creating reference product models with pre-determined optimal handling parameters, the system avoids re-calculating formulas for each new product type, thus reducing control complexity while maintaining handling precision through reference-based parameter assignment
Solution Approach 2:
The system dynamically adjusts handling parameters (acceleration, speed, gripper force) based on detected product characteristics rather than using fixed mathematical formulas. By changing parameters adaptively based on product category and reference comparisons, the system achieves high precision handling without the complexity of custom formula development for each product
2Manufacturing precision
If customization is performed for each item picking process, then handling efficiency is improved, but productivity decreases due to time-consuming setup
Solution Approach 1:
The system performs preliminary actions by pre-defining reference products with optimized handling parameters before actual production begins. These reference configurations are prepared in advance and stored in a database, allowing rapid parameter assignment to new products without time-consuming customization during setup
Solution Approach 2:
The reference product system serves multiple functions: it acts as a template for new products, a benchmark for parameter optimization, and a reusable configuration library. This universal approach allows the same reference framework to handle diverse product types, eliminating the need for separate customization processes for each item type
3Productivity
If high acceleration is applied to lightweight items, then productivity is improved, but reliability decreases due to product loss
Solution Approach 1:
The system applies different acceleration and speed parameters to different product categories based on their specific characteristics. Lightweight items receive higher acceleration values while heavy or fragile items receive lower values, ensuring each product type experiences locally optimized parameters that maximize speed without causing product loss
4Device complexity
If speed modulation is not highly configurable, then device complexity is reduced, but productivity decreases due to lower cycle-time
Solution Approach 1:
The system implements dynamic speed modulation where acceleration and speed parameters are automatically adjusted based on detected product characteristics and reference comparisons. This dynamic adaptability allows the robot to optimize cycle-time for each product type without requiring complex manual configuration, achieving high productivity through automated parameter adjustment rather than static settings
Data Source
AI summary
A method for dynamic control of a robot device for an efficient handling of a product includes determining a product parameter relating to a characteristic property of the product; determining a robot parameter relating to a characteristic property of the robot; assigning a first weight parameter of the product to the product and/or robot parameter, and generating an equivalent product output value; comparing the product output value with a reference product output value of a reference product parameter of a reference product based on at least one characteristic property of the reference product; determining an adjustment factor based on the result of the compared output values that will be used compute a corresponding configuration parameter of the robot device to control the robot device for handling the product in a customized way.