Serving Robot Workflow Control via Dynamic Situation Feedback
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Solution Overview
Problem
Existing serving robot systems fail to provide suitable services to customers at appropriate times based on situation information such as order status, eating status, and service provision status.
Innovation Solution
A method and system for controlling serving robots that acquire situation information on customers, dynamically determine workflows using a workflow determination model, and provide target services accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If serving robots are deployed to provide services to customers, then productivity and service coverage are improved, but the ability to provide suitable services at appropriate times based on situation information deteriorates
Solution Approach 1:
The system continuously acquires situation information about customers (order status, eating status, service provision status) and uses this feedback to dynamically determine workflows. The workflow determination model processes this feedback information to adjust service timing and appropriateness, enabling robots to adapt their service provision based on real-time customer states while maintaining high productivity through automated service delivery.
2Ease of operation
If automated serving systems are implemented, then ease of operation and service consistency are improved, but the ability to dynamically adjust services based on customer situation deteriorates
Solution Approach 1:
The system employs a dynamic workflow determination model that continuously adjusts service workflows based on acquired situation information. Rather than following fixed automated sequences, the model dynamically modifies service timing, type, and priority according to real-time customer states (eating progress, order completion status, etc.), enabling automated systems to adapt flexibly to changing service situations.
Solution Approach 2:
The system pre-establishes a workflow determination model with multiple service scenarios and decision rules before operation. This model contains predetermined service patterns for various customer situations, allowing the automated system to quickly determine appropriate workflows without complex real-time calculations, thus maintaining ease of operation while achieving dynamic adaptation.
3Productivity
If multiple serving robots are deployed to handle diverse customer needs, then service capacity is improved, but device complexity and coordination difficulty increase
Solution Approach 1:
The workflow determination model serves as a universal decision-making framework that can be applied across multiple serving robots regardless of their specific tasks. The model handles various service scenarios (food delivery, water refilling, dish collection) through a unified approach, allowing multiple robots to operate with diverse capabilities while following consistent decision logic, thereby reducing coordination complexity despite increased service capacity.
Data Source
AI summary
A method for controlling a serving robot is provided. The method includes the steps of: acquiring situation information on at least one customer; dynamically determining a workflow for the at least one customer on the basis of the situation information on the at least one customer, using a workflow determination model for determining workflows related to services capable of being provided in a serving place; and causing a target service to be provided to the at least one customer on the basis of the determined workflow.