Mobile Robot Loading Control for Balanced Air Cargo Containers
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Solution Overview
Problem
Conventional cargo transporting systems require manual handling and mounting of wheels with motors on airplanes, leading to instability due to uneven container weights and center of gravity issues when loading multiple containers.
Innovation Solution
A mobile robot system that measures container weights, identifies destinations, and communicates with air vehicles to determine optimal loading positions, eliminating the need for unnecessary motorized wheels and ensuring stable cargo distribution by sharing weight information among multiple robots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual handling and motorized wheels are used for container transport, then containers can be moved to air vehicles, but the air vehicle requires unnecessary motors during flight and operational complexity increases
Solution Approach 1:
The transport system is divided into two independent parts: a mobile robot with driving wheels for ground transport, and an air vehicle without wheels or motors for flight. The mobile robot transports containers to the air vehicle, which then carries them during flight. This segmentation eliminates the need for the air vehicle to have motorized wheels, reducing its structural complexity while maintaining transport capability.
2Quantity of substance
If multiple containers are loaded on air vehicle, then cargo capacity increases, but center of gravity mismatch and instability occur due to weight differences
Solution Approach 1:
The mobile robot measures the weight of each container before loading using a weight measurement sensor. The controller calculates the center of gravity based on these pre-measured weights and determines the optimal loading positions in advance. This preliminary action ensures that multiple containers can be loaded while maintaining proper center of gravity balance and air vehicle stability.
3Device complexity
If container weights are not measured and considered, then loading process is simplified, but center of gravity control and airplane stability deteriorate
Solution Approach 1:
The mobile robot includes a weight measurement sensor that measures the actual weight of each container. This weight information is fed back to the controller, which uses it to calculate the center of gravity and determine appropriate loading positions. This feedback mechanism ensures reliable air vehicle control while managing the complexity of the loading system through automated calculation.
Data Source
AI summary
The present invention includes a mobile robot which transports a container configured of having a cargo contained therein to an air vehicle, loads the container at a predetermined loading place of the air vehicle, unloads the container from the air vehicle, identifies the unloaded container, and transports the identified container to a predetermined location.


