Multi-Robot Service Coordination for Dynamic Restaurant Areas
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Solution Overview
Problem
Existing automation services in stores, such as restaurants and cafes, face inefficiencies due to unpredictable customer behaviors and movements within the service area, requiring a technology to effectively distribute and concentrate automation tasks among robots.
Innovation Solution
A system of interconnected robots, including a control server, guide robots, serving robots, cooking robots, table robots, and dishwashing robots, that communicate and coordinate to perform tasks like order reception, cooking, serving, and dishwashing, optimizing service efficiency based on customer interactions and order sequences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automation devices are used to perform service tasks in a store, then service efficiency is improved, but the system complexity increases due to the need to coordinate multiple robots in a dynamic environment
Solution Approach 1:
The patent divides the service area into multiple zones and assigns different robot types to specific zones for specific tasks. Guide robots handle customer guidance in entrance areas, table robots serve specific tables, cooking robots operate in kitchen zones, and dishwashing robots handle cleanup in designated areas. This spatial segmentation allows each robot to specialize in particular tasks while reducing overall system coordination complexity.
Solution Approach 2:
The patent introduces a central control server as an intermediary that receives service requests, determines optimal robot assignments, and coordinates task distribution among multiple robots. The control server acts as a mediator that manages the complexity of coordinating multiple autonomous robots by centralizing decision-making logic and task allocation algorithms.
2Adaptability or versatility
If multiple types of robots are deployed to handle diverse service tasks, then service versatility is improved, but the difficulty of controlling and coordinating these robots increases
Solution Approach 1:
The patent designs each robot type with multiple functional capabilities. For example, table robots can perform order taking, food delivery, and payment processing. Serving robots can deliver food, clear tables, and communicate with customers. This multi-functionality allows a smaller number of versatile robots to handle diverse service tasks, reducing the need for highly specialized robot types and simplifying control architecture.
Solution Approach 2:
The patent implements real-time feedback mechanisms where robots continuously report their status, location, and task completion to the control server. The control server monitors service area conditions and dynamically adjusts robot assignments based on feedback information. This feedback loop enables adaptive coordination of multiple robot types without requiring complex pre-programmed control sequences.
3Productivity
If robots operate autonomously in a dynamic service area with moving customers, then service responsiveness is improved, but the reliability of task completion decreases due to unpredictable environmental variables
Solution Approach 1:
The patent implements dynamic task allocation where the control server continuously monitors service area conditions, customer movements, and robot statuses to adjust task assignments in real-time. Robots can dynamically change their routes, priorities, and target destinations based on current environmental conditions. This dynamic adaptability allows the system to maintain high responsiveness while compensating for unpredictable variables through flexible reconfiguration.
Solution Approach 2:
The patent employs preliminary routing and positioning where robots pre-calculate optimal paths and anticipate customer movements based on historical data and current patterns. The control server prepares task assignments in advance considering predicted service demands, allowing robots to position themselves proactively rather than reactively. This preliminary action improves task completion reliability by reducing delays caused by unpredictable environmental variations.
Data Source
AI summary
The present disclosure relates to a method for providing service by controlling robots within a service area and a robot implementing the method, and according to an embodiment of the present disclosure, a system of providing service by controlling robots within the service area include a control server configured to receive customer information on customer seated at a table within the service area and ordered menu item information from a guide robot or a table robot disposed in the service area and transmit, to a cooking robot, the received information and cooking instruction information generated based on a situation of a plurality of orders placed within the service area and a plurality of robots.