Robot Task Decomposition for Coordinated Gripping and Movement
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Solution Overview
Problem
Existing robots have low service efficiency in executing complex tasks and cannot meet the higher needs of users.
Innovation Solution
An intelligent robot system that analyzes target object information to generate sub-tasks, utilizing a gripping and moving apparatus to collaborate and execute these sub-tasks to complete complex tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing robots execute simple tasks, then the device structure remains simple, but the service efficiency and ability to meet user needs deteriorate
Solution Approach 1:
The patent segments complex tasks into multiple sub-tasks with specific operation actions. Each sub-task is assigned to appropriate apparatuses (gripping or moving), allowing the system to handle complex tasks through coordinated execution of simpler sub-components, thereby improving service efficiency without requiring overwhelming overall system complexity
Solution Approach 2:
The patent implements dynamic task allocation where the controlling apparatus dynamically assigns sub-tasks to gripping or moving apparatuses based on the operation action type. This dynamic coordination enables the system to adapt to different task requirements, improving productivity while maintaining manageable device complexity through flexible resource allocation
2Adaptability or versatility
If robots execute complex tasks, then the ability to meet user needs improves, but the task execution capability and coordination requirements worsen
Solution Approach 1:
Complex tasks are divided into sub-tasks with clearly defined operation actions (e.g., gripping actions assigned to gripping apparatus, moving actions assigned to moving apparatus). This segmentation enables the system to execute diverse complex tasks by coordinating specialized components, enhancing adaptability while keeping coordination manageable through clear task-apparatus mapping
Solution Approach 2:
The controlling apparatus serves multiple functions: it generates sub-tasks, determines apparatus assignments, coordinates execution, and manages interactions. This multi-functionality allows the system to handle various complex tasks with different requirements using a unified control framework, improving versatility without proportionally increasing coordination complexity
Data Source
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AI summary
The application discloses a method, an apparatus, a device, and a computer medium for task execution. The method of task execution is applicable to an intelligent robot and includes: obtaining a target task; determining target object information required for completing the target task based on the target task, the target object information including at least one object; generating a plurality of sub-tasks to be executed for completing the target task based on the target object information, each sub-task including operation action information for a corresponding object; and controlling a gripping apparatus and a moving apparatus to collaborate to execute the plurality of sub-tasks to complete the target task, which can achieve the effect of improving the service efficiency of serving users.