Autonomous Container Loading Robots for Low-Labor Vehicle Handling
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Solution Overview
Problem
The manual loading and unloading of containers from transport vehicles is time-consuming, labor-intensive, hazardous, and prone to errors, with diesel-powered machinery contributing to pollution and noise, and existing automated systems are inefficient and costly.
Innovation Solution
A system utilizing automated robots equipped with sensors and a base station to identify and move containers within facilities, coordinated by a server that determines destinations based on container identifiers and distribution information, enabling efficient loading and unloading of containers using autonomous robots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual loading and unloading of containers is used, then labor flexibility is maintained, but productivity is low and labor intensity is high
Solution Approach 1:
The system enables automated self-service loading and unloading through robots that autonomously navigate to containers, identify them via sensors, retrieve them using robotic arms, and deliver them to designated locations without human intervention, thereby eliminating manual labor while maintaining operational continuity
Solution Approach 2:
Manual mechanical operations are replaced with automated robotic systems equipped with sensors, robotic arms, and navigation capabilities. The system substitutes human-operated mechanical processes with autonomous robotic mechanisms that perform container handling tasks more efficiently
2Power
If diesel-powered machinery is used for loading and unloading, then power and lifting capability are sufficient, but harmful emissions and noise increase
Solution Approach 1:
Diesel-powered mechanical systems are replaced with electric-powered robotic systems. The robots use electric motors for lifting and movement, eliminating combustion engines that produce harmful emissions and noise, while maintaining sufficient lifting capability through appropriately sized electric actuators and robotic arms
Solution Approach 2:
The robotic systems utilize hydraulic or pneumatic mechanisms for lifting and manipulating containers. These fluid-power systems provide high lifting capability without the harmful emissions associated with diesel engines, as they can be powered electrically and produce no direct exhaust
3Extent of automation
If existing automated systems are implemented, then labor intervention is reduced, but system complexity and cost increase
Solution Approach 1:
The automated system is divided into modular functional components: navigation modules for robot positioning, sensor systems for container identification, robotic arms for container retrieval, and communication modules for coordination. This segmentation allows independent optimization of each subsystem and simplifies overall system management while achieving high automation
Data Source
AI summary
A system for loading and unloading containers of items from transport vehicles and moving containers of items to and from desired locations using automated robots are disclosed. The system includes one or more automated robots, a base station, and one or more vehicle-based systems. The automated robots are configured to move to, lift, and carry containers of items. The base station is configured to coordinate the movements of the automated robots. The vehicle-based systems are associated with transport vehicles and configured to communicate information about containers on the transport vehicles to the base station or automated robots. The vehicle-based systems may call the one or more automated robots to automatically load or unload the transport vehicles.