3D Transporting Vessel Coordination for Self-Reconfigurable Routing
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Solution Overview
Problem
Existing object handling systems require robotic load handlers that traverse a grid structure above storage bins, leading to inefficiencies, increased costs, and difficulties in accessing stuck or faulty units, and do not effectively manage complex routing and kinematics.
Innovation Solution
A self-reconfigurable object handling coordination system with a three-dimensional cluster of relocatable transporting vessels, where each vessel is addressable and can reconfigure its topology to facilitate efficient movement within the cluster, using a motion control system that determines optimal paths and coordinates the movement of vessels to avoid collisions and optimize routes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If robotic load handlers traverse a grid structure above storage bins, then object handling and retrieval is enabled, but system complexity and cost increase
Solution Approach 1:
Instead of having robotic load handlers traverse above storage bins on a grid structure, the patent inverts the approach by enabling the storage bins themselves to move autonomously along conveyor paths. This eliminates the need for complex overhead robotic systems while achieving the same object handling capability through autonomous container movement and self-positioning.
Solution Approach 2:
The patent replaces the mechanical robotic load handling system with an automated conveyor-based transport system. Storage bins are equipped with autonomous navigation capabilities and move along predefined paths using automated guidance, substituting complex robotic mechanics with simpler automated transport mechanisms.
2Ease of operation
If robotic load handlers are used to access storage bins, then retrieval is possible, but time and energy overhead increases
Solution Approach 1:
Storage bins are equipped with autonomous navigation capabilities, sensors, and communication systems that enable them to self-position, self-navigate to designated locations, and self-coordinate with the transport system without requiring external robotic intervention. This self-service capability eliminates the time overhead associated with robotic digging and manipulation.
3Stability of the object's composition
If a peripheral frame structure with grid is used to support load handlers, then structural stability is provided, but system cost and complexity increase
Solution Approach 1:
The patent extracts and removes the complex peripheral frame structure and overhead grid system from the design. Instead of building a stable structure above storage bins to support robots, the system achieves stability through the conveyor infrastructure and controlled movement of storage bins along fixed paths, eliminating the need for expensive overhead support structures.
4Ease of operation
If robotic load handlers traverse above stacks, then multiple bins can be accessed, but difficulty in accessing stuck or faulty units arises
Solution Approach 1:
The system transitions from static storage bins on fixed stacks to dynamic, mobile storage bins that can autonomously move along conveyor paths. This dynamic capability allows any storage bin to be accessed by directing it to a designated pickup location, eliminating the accessibility problems inherent in fixed stack configurations where robots must physically reach into stacks.
Data Source
AI summary
An object handling coordination system includes a plurality of transporting vessels arranged as a three-dimensional cluster of transporting vessels. The plurality of transporting vessels is addressable and the cluster has a self-reconfigurable physical topology. A relocatable transporting vessel is configured to be relocatable within the. A motion control system is configured to determine a path from a start location of the relocatable transporting vessel within the cluster to a destination location within the cluster and arranged to execute movement of the relocatable transporting vessel within the cluster using the determined path.


