Service Robot GUI Overlay Map for Casino Fleet Coordination
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Solution Overview
Problem
Existing robotic systems lack efficient management and coordination of service robots in operations venues, such as casinos, leading to inefficiencies in task execution and resource allocation.
Innovation Solution
A robot management system (RMS) that includes a server and graphical user interface (GUI) for managing a fleet of service robots, providing centralized task scheduling and navigation, and displaying interactive maps and status information to operators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If service robots are deployed in operations venues without centralized management, then robot autonomy is maintained, but task execution efficiency and resource allocation deteriorate
Solution Approach 1:
A robot management system server acts as an intermediary between operators and service robots. The server receives task requests from operators, processes them through the graphical user interface, and distributes appropriate tasks to available robots based on their current status and location. This intermediary structure enables centralized coordination without requiring direct complex connections between each operator and every robot, thus improving productivity while managing system complexity.
Solution Approach 2:
The robot management system server provides multiple functions through a single centralized platform: task assignment, robot location tracking, status monitoring, and coordination. The graphical user interface serves as a universal access point for operators to manage multiple robots simultaneously. This multi-functionality approach consolidates what would otherwise require separate systems into one integrated solution, improving efficiency without proportionally increasing complexity.
2Loss of information
If real-time monitoring of all service robots is implemented, then operational visibility is improved, but system complexity and data processing requirements increase
Solution Approach 1:
The system extracts and displays only the most relevant robot status information through the graphical user interface, such as current location, task status, and operational state. Rather than displaying all possible data points from each robot, the interface selectively presents critical information that operators need for effective monitoring and decision-making. This extraction approach maintains operational visibility while avoiding the complexity of processing and displaying every available data point.
Solution Approach 2:
The system creates simplified graphical representations (icons and visual indicators) that copy essential robot status information in an easily interpretable format. Instead of displaying raw data streams from multiple robots, the interface generates visual copies such as map locations, status icons, and progress indicators that convey the same information in a reduced, more manageable form. This copying mechanism maintains comprehensive monitoring capability while reducing the complexity of data presentation.
3Productivity
If centralized task scheduling is implemented, then resource allocation efficiency is improved, but system control complexity increases
Solution Approach 1:
The robot management system automatically performs resource allocation and task distribution based on pre-established criteria and real-time robot status. When operators input task requirements through the graphical user interface, the system autonomously matches tasks with suitable robots, assigns them, and tracks completion. This self-service capability enables efficient resource allocation without requiring operators to manually coordinate each robot, thus improving productivity while maintaining operational simplicity.
Solution Approach 2:
The system performs preliminary processing of task requests and robot availability assessments before actual task assignment. The graphical user interface allows operators to define task parameters in advance, and the system pre-evaluates which robots are suitable based on their current status, capabilities, and location. This preliminary action reduces the complexity of real-time decision-making during task execution, as the matching and assignment processes are prepared beforehand.
Data Source
AI summary
A robot management system (RMS) includes a plurality of service robots deployed within an operations venue that includes a plurality of gaming devices, an operator terminal presenting a graphical user interface (GUI) to an operator, and a robot management system server (RMS server) configured in networked communication with the plurality of service robots. The RMS server is configured to: identify location data for the service robots; create an interactive overlay map of the operations venue that includes a static map of the operations venue, overlay data showing the location data of the plurality of service robots over the static map, and an interactive icon for each service robot of the plurality of service robots; display, via the GUI, the overlay map; receive a first input indicating a selection of a first interactive icon associated with a first service robot; and display current status information associated with the first service robot.


