Mobile Robot Group Coordination for Oversized Item Transport
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Solution Overview
Problem
Existing inventory systems face challenges in efficiently handling oversized, overweight, or uniquely shaped items due to the high developmental and operational costs of specialized mobile robots, which results in inefficient resource utilization and reduced flexibility.
Innovation Solution
A macro robot movement technique is employed, where a central management system coordinates a group of regular-sized mobile robots to form a macro robot, allowing them to collaboratively move oversized or uniquely shaped items by reserving a path, dividing tasks into smaller movements, and managing dependencies between these tasks to maintain relative differences and avoid collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If specialized mobile robots are developed to handle oversized, overweight, or uniquely shaped items, then the capability to handle such items is improved, but the developmental and operational costs increase significantly
Solution Approach 1:
Regular-sized mobile robots are designed to perform multiple functions by collaborating in groups. The same robot can handle both standard items and oversized items by forming different group configurations, eliminating the need for specialized robots for different item types.
Solution Approach 2:
Multiple regular-sized mobile robots are merged to form a macro robot that can handle oversized items. The robots work together as a coordinated unit, combining their individual capabilities to lift and transport items that exceed the capacity of a single robot.
2Adaptability or versatility
If specialized mobile robots are deployed for oversized items, then the handling capability is improved, but resource utilization efficiency decreases
Solution Approach 1:
The system dynamically adjusts by forming macro robots only when oversized items are present. Regular-sized robots operate independently for standard items and collaborate in groups for oversized items, optimizing resource utilization based on real-time task requirements.
Solution Approach 2:
The same fleet of regular-sized robots serves dual purposes: handling standard items individually and forming macro robots for oversized items. This universal approach maximizes resource utilization by eliminating idle specialized robots.
Data Source
AI summary
Techniques for improving the efficiency and flexibility of inventory systems are described. In an example, multiple robots may be operated to move an item. The robots may be allocated to a mobile robot group configured to move the item according to an arrangement of these robots. Tasks for incrementally moving the item and dependencies between the tasks may be generated. Instructions about a first task may be sent to one of the robots. Progress about performing the first task may be received back from the robot. Based on the progress and a dependency from the first task, instructions about a second dependent task may be sent to a second robot. When performed by the respective robots, the first task and the second task may cause an incremental movement of the item by the mobile robot group.