Multi-Robot Cooperation Control for Heterogeneous Service Provision
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Solution Overview
Problem
Existing multi-robot systems are limited in their ability to interact with heterogeneous robotic products and provide customized services to users, as they are primarily designed for homogeneous robots and focus on task allocation rather than user-centric service provision.
Innovation Solution
A cooperation control method and device for multi-robots that detect user and environment information, recognize user intentions and situational contexts, select cooperative tasks, and request service provision from multiple robots capable of performing those tasks, thereby enabling the combination of unit functions from different robots to provide enhanced services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a single robot is used to perform tasks independently, then the robot control system is simple, but the robot cannot obtain sufficient user information and environment information
Solution Approach 1:
The patent combines multiple robots into a multi-robot system where robots collaborate to perform tasks. This merging allows the system to gather more comprehensive user information and environment information from multiple sensors and perspectives, resolving the information limitation of single robots while managing complexity through coordinated control.
Solution Approach 2:
The patent enables robots to perform multiple functions beyond their original capabilities through collaboration. By allowing robots to assume different roles and perform various tasks based on situation recognition, the system overcomes the information limitations of individual robots while maintaining flexible control architecture.
2Adaptability or versatility
If homogeneous robots are used in multi-robot systems, then task allocation is simplified, but the range of tasks that robots can perform is limited
Solution Approach 1:
The patent enables heterogeneous robots with different functions to collaborate effectively. Through situation recognition and role assignment mechanisms, the system coordinates robots with diverse capabilities to perform a broader range of tasks, achieving high adaptability while managing the complexity of heterogeneous robot coordination.
Solution Approach 2:
The patent implements dynamic task allocation and role assignment based on recognized situations and user intentions. The system dynamically determines which robot performs which function based on current needs, allowing heterogeneous robots to adapt their roles flexibly, thereby expanding the range of performable tasks while managing system complexity through adaptive coordination.
3Adaptability or versatility
If conventional robotic products provide only original functions, then the product design is simple, but the user experience is insufficient
Solution Approach 1:
The patent enables robotic products to provide services beyond their original functions through multi-robot collaboration and situation recognition. The control device coordinates robots to perform diverse tasks based on recognized user intentions and environmental contexts, allowing simple robotic products to deliver complex, customized services that enhance user experience while managing control complexity through systematic coordination.
Solution Approach 2:
The patent implements dynamic service provision where the control device assigns different functions and roles to robots based on recognized situations and user needs. This dynamic allocation allows conventional robotic products to adapt their behavior and provide customized services beyond their original design, enhancing user experience while managing control complexity through flexible, situation-based coordination.
4Adaptability or versatility
If multi-robot systems focus on task allocation of homogeneous robots, then the control method is straightforward, but interaction between heterogeneous robotic products is limited
Solution Approach 1:
The patent develops a control method that enables heterogeneous robots to interact and collaborate effectively. Through situation recognition and role assignment mechanisms, the system coordinates robots with different capabilities to perform various tasks together, achieving high interaction capability among heterogeneous products while managing the complexity of cross-type coordination through systematic control strategies.
Data Source
AI summary
The present disclosure relates to a technology for controlling a robotic product. A cooperation control method of a multi-robot comprises detecting information on a user or information on surroundings of the user using sensors, recognizing an intention or a situational context of the user based on the detected information, selecting a task that a plurality of robots are able to cooperatively perform in response to the recognized intention or situational context of the user, and requesting a service provision to each of the plurality of robots that are able to cooperatively perform the selected task.