Centralized Warehouse Robot Navigation Without Active Feedback
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Solution Overview
Problem
Conventional warehouse management systems relying on autonomous vehicles require active feedback from robots, which increases costs and complexity due to the need for sophisticated cameras and navigation systems, and are inefficient when errors occur or changes are needed.
Innovation Solution
A centralized control system that uses multiple image capturing devices to create delta files of route images, processes them, and generates control signals for robotic vehicles to navigate without active feedback, incorporating a calibration mechanism and safety override for obstacle detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If active feedback from robots is implemented, then navigation control is improved, but device complexity and cost increase due to sophisticated cameras and navigation systems
Solution Approach 1:
The patent introduces a central control system as an intermediary that receives images from simple cameras on robots and processes them to determine robot positions and generate navigation commands. This mediator handles the complex image processing and navigation logic centrally, allowing individual robots to use simple cameras rather than sophisticated onboard navigation systems.
Solution Approach 2:
The system creates a digital copy of the physical environment by processing images from cameras to construct a map of the facility and determine robot positions within it. This virtual representation allows the central control system to track and control multiple robots without requiring complex onboard sensors on each robot.
2Reliability
If redundant cameras are installed on each robot for error compensation, then reliability is improved, but cost and device complexity increase significantly
Solution Approach 1:
The patent merges the navigation and positioning functionality from individual robots into a centralized system. Instead of each robot having redundant cameras for self-navigation, the system combines images from simple cameras on multiple robots to collectively achieve reliable navigation and positioning through central processing.
Solution Approach 2:
The central control system serves multiple functions: it processes images from all robots, constructs environmental maps, determines positions of multiple robots simultaneously, generates navigation commands, and handles error compensation. This multi-functional approach eliminates the need for each robot to have dedicated redundant navigation systems.
3Adaptability or versatility
If changes to robot camera or navigation system are made, then system improvement is achieved, but the changes need to be replicated to central control system increasing time and complexity
Solution Approach 1:
The system separates the complex navigation intelligence from the simple robot units. The central control system contains all the sophisticated processing logic and environmental models, while individual robots have only simple cameras and command execution capability. This segmentation allows independent updates to the central system without affecting robot hardware.
Solution Approach 2:
The system implements feedback through the central control system that continuously receives image data from robots, processes it, and generates updated navigation commands. This feedback loop allows the central system to adapt to changing conditions and robot positions dynamically, making the system adaptable without requiring changes to individual robots.
4Extent of automation
If existing warehouse robots are retrofitted with new control systems, then automation is improved, but hardware changes and costs increase
Solution Approach 1:
The system creates a virtual model of the warehouse environment and robot positions through image processing, allowing existing physical robots to be controlled without adding complex hardware. The digital representation enables sophisticated automation control while keeping the physical robot hardware simple and compatible with existing systems.
Solution Approach 2:
The patent replaces complex mechanical navigation systems (cameras, sensors, onboard processing) with a centralized optical system. Instead of each robot having mechanical navigation capabilities, the system uses a central control system that processes visual information to guide all robots, substituting distributed mechanical complexity with centralized information processing.
Data Source
AI summary
Control system and method for managing transport of vehicles in a warehouse. A network of cameras provide coverage over the route way network by capturing images and sending image data to a central control unit which processes the images and generates signals to control the movement of robot slaves. The control system also includes a calibration mechanism to calibrate a map of the network of routes and an obstruction matrix function. The robot slaves include a safety override mechanism to control the robot slaves autonomously and independently in case of detecting an obstacle or an unexpected hazard in a path of its movement along a route of the warehouse network.