Autonomous Inventory Unit Handoff Across Secure Control Territories
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Solution Overview
Problem
Current automation systems in inventory management lack scalability and intelligence, leading to increased latency and limited adaptability in responding to inventory demands across multiple geographic sites, with robots being unaware of inventory levels and goals, and relying heavily on central processing systems for logistics and tracking.
Innovation Solution
A system and method for directing and controlling autonomous inventory storage units, equipped with hardware processors, navigation, sensing, and control devices, allowing them to travel between control territories, negotiate dispatch routines, authenticate secure connections, and access different geographic regions based on defined goals and targets, using authentication tokens and secure connections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If centralized processing systems are used to control robot fleets, then coordination and tracking are simplified, but scalability is limited and latency increases
Solution Approach 1:
The patent divides the centralized control system into distributed autonomous units. Each robot is segmented as an independent intelligent entity with its own processing capabilities, rather than being controlled centrally. This segmentation enables parallel operation across multiple robots without centralized bottlenecks, reducing latency while maintaining coordination through peer-to-peer communication and shared spatial awareness.
Solution Approach 2:
The patent introduces a new dimension of autonomy by enabling robots to operate independently across multiple geographic sites. Instead of adding more layers to the centralized hierarchy, the system transitions to a distributed dimensional structure where robots can autonomously navigate, make decisions, and adapt to different locations without increasing central processing complexity.
2Productivity
If current automation robots are used, then basic transport tasks are performed, but adaptability to different geographic sites and inventory demands is limited
Solution Approach 1:
The patent implements self-service capabilities where robots autonomously navigate, locate inventory, make decisions, and adapt to different geographic sites without human intervention or centralized micromanagement. Each robot serves itself by independently processing sensor data, planning routes, and responding to inventory demands, thereby maintaining high productivity while achieving superior adaptability across diverse locations.
Solution Approach 2:
The patent enables dynamic parameter changes in robot behavior based on environmental conditions. Robots can adjust their operational parameters such as navigation paths, inventory handling methods, and communication protocols according to the specific characteristics of different geographic sites and inventory types, thereby maintaining productivity while achieving versatility across multiple locations.
3Loss of time
If robots are made more autonomous with local decision-making, then responsiveness to inventory demands improves, but system complexity increases
Solution Approach 1:
The patent segments the intelligence architecture into modular components distributed across each robot. Rather than concentrating all decision-making logic centrally or embedding complex AI in each robot, the system divides intelligence into manageable segments that robots exchange through communication protocols. This segmentation enables fast local responses while keeping individual robot complexity manageable through standardized interfaces and shared knowledge bases.
4Reliability
If authentication and secure connections are implemented for multi-territory access, then security and control are enhanced, but communication overhead and latency increase
Solution Approach 1:
The patent implements preliminary authentication actions where robots establish secure connections and exchange credentials before entering new control territories. By performing authentication in advance rather than in real-time during operations, the system ensures security and reliable control while minimizing communication overhead and latency during actual inventory management tasks. Robots carry authenticated tokens that enable quick access to authorized territories without repeated authentication handshakes.
Data Source
AI summary
Systems, methods, computing platforms, and storage media for directing and controlling an autonomous storage unit in an autonomous inventory management system are disclosed. Exemplary implementations may negotiate, by a first controller, a dispatch routine for the storage unit with a transport controller and a second controller, assign a token to the storage unit and the second controller, the token providing an identification signal between the storage unit and the second controller, register a departure event with the first controller, provide a secure connection between the storage unit and the second controller, exchange the token between the storage unit and the second controller, authenticate the secure connection based on exchanging the token, and give the storage unit permission to access a control territory assigned to the second controller.