Autonomous Mobile Robot Article Loading and Securing
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Solution Overview
Problem
Current material handling and logistical systems are labor-intensive, prone to errors, and require significant infrastructure, limiting their flexibility and scalability, especially in diverse environments like warehouses, manufacturing facilities, and transportation vehicles.
Innovation Solution
An autonomous mobile robot system that can load and monitor articles on support surfaces using image data and optimization algorithms to arrange articles efficiently and securely, with minimal infrastructure requirements, allowing for flexible deployment and reduced labor costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual labor is used for order picking and palletizing, then flexibility and adaptability are maintained, but productivity is low and labor costs are high
Solution Approach 1:
The robotic system performs order picking and palletizing operations autonomously without continuous human intervention. The robot navigates, identifies articles, and places them on support surfaces independently, enabling the system to serve itself and eliminating the need for manual labor in these repetitive tasks.
Solution Approach 2:
The patent replaces manual mechanical operations with an automated robotic system equipped with sensors, processors, and actuators. The robot uses image recognition and computer vision to identify articles and employs robotic manipulators to handle and position items, substituting human mechanical actions with automated mechanical and optical systems.
2Productivity
If automated systems are deployed, then productivity increases and labor costs decrease, but device complexity and infrastructure requirements increase
Solution Approach 1:
The robotic system is designed to perform multiple functions including navigation, article identification, picking, placing, and monitoring. It can operate in various environments (warehouses, manufacturing facilities, transportation vehicles) and handle different types of articles, reducing the need for specialized equipment for each task and environment.
Solution Approach 2:
The system adapts to different environments and tasks by changing operational parameters such as navigation paths, article identification thresholds, gripping forces, and monitoring frequencies. This flexibility allows the same hardware platform to operate efficiently across diverse conditions without requiring complex infrastructure modifications.
3Reliability
If fixed installation automated systems are used, then manufacturing precision and reliability improve, but adaptability to different environments decreases
Solution Approach 1:
The robotic system transitions from static fixed installations to dynamic mobile operations. The robot can move between different locations, adjust its navigation in real-time based on environmental conditions, and adapt its article handling approach based on the specific task requirements, providing both reliability and environmental flexibility.
Solution Approach 2:
The system continuously monitors its environment using sensors and cameras, compares actual conditions with planned operations, and adjusts its behavior in real-time. This feedback mechanism enables the robot to maintain high operation accuracy while adapting to varying environments, whether in a warehouse, manufacturing facility, or transportation vehicle.
4Measurement precision
If manual monitoring of arranged articles is performed, then measurement precision is adequate, but loss of time and productivity decrease
Solution Approach 1:
The system replaces manual visual inspection with automated image recognition and computer vision technologies. Cameras capture images of arranged articles, and software algorithms automatically verify correct placement, identify missing items, and detect errors, eliminating the need for manual monitoring while improving both precision and speed.
Solution Approach 2:
The monitoring system operates continuously throughout the article arrangement process and during transportation, providing real-time verification rather than intermittent manual checks. This continuous automated monitoring ensures high measurement precision without adding time delays to the overall operation.
Data Source
AI summary
A mobile robot is provided having a support surface for supporting a plurality of articles and securing material secured to and positioned for operable communication with the robot for securing the plurality of articles on the support surface. A robotic arm member also is provided that is secured to the robot and configured to autonomously gather the articles from a location remote from the mobile robot, place the articles in desired positions on the support surface and autonomously secure, via the securing material, the plurality of articles on the support surface to substantially restrict movement of the articles on the support surface and without requiring any outside intervention or human input to secure the articles.