Warehouse Product Trajectory Detection for Precise Robotic Handling
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Solution Overview
Problem
Automated warehouse systems face inefficiencies in handling diverse products due to lack of real-time image analysis and decision-making for optimal product routing, handling, and anomaly detection, leading to potential misplacement and damage.
Innovation Solution
A surveillance system comprising an image sensor and a cloud-based software module that analyzes images of products to determine appropriate trajectories, select end effectors, and detect anomalies, integrated with robotic arms and force sensors to ensure precise handling and placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If automated warehouse systems handle diverse products without real-time image analysis, then device complexity is reduced, but manufacturing precision and reliability deteriorate due to potential misplacement and damage
Solution Approach 1:
The system performs preliminary image capture and analysis before the robotic arm executes the handling operation. The software module analyzes product characteristics (shape, size, orientation) in advance and pre-determines the optimal trajectory and end effector selection, allowing the robotic system to execute precise movements without real-time complex decision-making during the actual handling operation.
Solution Approach 2:
An image sensor and software module are introduced as intermediary components between the robotic arm and the product. The image sensor captures product information, and the software module processes this data to generate handling parameters, acting as a mediator that translates visual information into precise robotic control commands without requiring direct complex interaction between the robotic arm and diverse products.
2Productivity
If real-time image analysis and decision-making are implemented, then productivity and reliability improve, but device complexity and processing time increase
Solution Approach 1:
The system segments the image analysis and decision-making process into distinct functional modules: image capture by the image sensor, image processing by the software module, trajectory calculation, and execution by the robotic arm. This segmentation allows each component to specialize in specific tasks, improving overall efficiency while managing complexity through modular architecture.
Solution Approach 2:
The software module creates a digital representation (copy) of the product based on image analysis, including its shape, size, and orientation characteristics. This digital model is then used for trajectory calculation and handling decision-making, eliminating the need for physical prototypes or manual measurement while maintaining high accuracy in handling parameters.
3Measurement precision
If image sensors and software modules are integrated with robotic arms, then measurement precision and handling accuracy improve, but device complexity increases
Solution Approach 1:
The image sensor is physically integrated with the robotic arm assembly, and the software module is operatively connected to both the image sensor and robotic arm controller. This merging creates a unified surveillance system where image capture, analysis, and robotic execution work as an integrated whole, improving measurement precision while managing integration complexity through standardized communication interfaces.
4Manufacturing precision
If the system determines optimal trajectories and end effectors for each product, then manufacturing precision improves, but loss of time in analysis and processing increases
Solution Approach 1:
The system performs image capture and analysis as a preliminary step before the robotic arm executes the handling operation. By analyzing product characteristics in advance and pre-determining trajectories and end effector selection, the system minimizes decision-making time during the actual handling operation, improving overall efficiency while maintaining high precision.
Solution Approach 2:
The image sensor continuously monitors and captures product information as products move through the warehouse system. The software module continuously processes this data and updates trajectory calculations in real-time, ensuring that the robotic arm always has current and accurate handling parameters without interrupting the continuous flow of product handling operations.
Data Source
AI summary
Systems, methods, computer-readable media, and techniques are provided for surveilling a warehouse, may include: an image sensor for capturing an image of a product being manipulated in a warehouse; and a software module, operatively connected to the image sensor, and configured to analyze the image and determine a path by which the product should move within the warehouse. The systems, the methods, the computer-readable media, and the techniques for surveilling a warehouse may include: providing an image sensor prior to a handling station to capture an image of a product; analyzing the image of the product using a software module; and determining, using the software module, an appropriate trajectory for the product.