Modular Robot Control via Centralized Server Mediator
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Solution Overview
Problem
The complexity and high maintenance costs of robots configured with multiple modular components hinder their scalability and efficiency, as interactions between these components complicate implementation and increase maintenance needs.
Innovation Solution
A robot control system that individually controls each modular robot without direct interaction between them, receiving and processing sensing and state information to execute commands, allowing each modular robot to perform assigned tasks independently or in conjunction with others.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple modular robots are configured to interact with each other to perform tasks, then the robot system can provide comprehensive services, but the implementation complexity and maintenance cost increase
Solution Approach 1:
A server acts as an intermediary between multiple modular robots, receiving sensing information from all robots and sending control commands to them. This centralization eliminates the need for direct peer-to-peer interactions between robots, thereby reducing implementation complexity while maintaining comprehensive service capabilities through coordinated control.
2Adaptability or versatility
If multiple modular robots are configured to interact with each other, then the robot can perform complex tasks, but the maintenance cost increases
Solution Approach 1:
The server serves as a centralized management platform that handles coordination and control of multiple modular robots. This architecture simplifies maintenance by providing a single point of control for monitoring robot status, managing updates, and coordinating repairs, thereby reducing maintenance costs while enabling complex task performance.
3Adaptability or versatility
If modular robots are configured with interaction capabilities, then the system can provide comprehensive services, but scalability is degraded
Solution Approach 1:
The server implements a universal control architecture that can manage any number of modular robots with different functions. This multi-functional platform allows new robots to be integrated into the system without requiring changes to existing interaction protocols, thereby maintaining service functionality while enhancing scalability.
4Productivity
If direct interaction between modular robots is implemented, then coordinated tasks can be performed, but the control system complexity increases
Solution Approach 1:
The server acts as a centralized mediator that receives sensing information from all modular robots, processes the data to determine coordinated actions, and sends appropriate control commands to each robot. This approach enables coordinated task execution while keeping individual robot control systems simple, as they only need to communicate with the server rather than directly with each other.
Data Source
AI summary
A method for controlling a robot having a plurality of modular robots for performing requested service-related tasks includes individually controlling each of the plurality of modular robots through a robot control system without interactions between the plurality of modular robots.