Robot Task Planning With Coordinated Gripping and Mobility
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Solution Overview
Problem
Existing intelligent 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 in executing these sub-tasks to complete complex tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing robots execute simple tasks, then the device structure remains simple, but the service efficiency and task complexity capability are insufficient
Solution Approach 1:
The patent divides complex tasks into multiple sub-tasks and decomposes target object information into distinct components (object identification, attribute information, spatial relationships). This segmentation allows the robot to process complex information in manageable parts, enhancing task complexity capability without requiring a completely redesigned system architecture.
Solution Approach 2:
The patent implements dynamic coordination between the gripping apparatus and moving apparatus, where the control unit adjusts their collaborative execution based on real-time task requirements and object characteristics. This dynamic adaptation enables the system to handle varying task complexities efficiently.
2Productivity
If a gripping apparatus and moving apparatus collaborate to execute sub-tasks, then service efficiency improves, but control complexity increases
Solution Approach 1:
The patent merges the control of the gripping apparatus and moving apparatus into a unified control unit that coordinates both components simultaneously. This integrated control approach streamlines the execution of sub-tasks by eliminating the need for separate control systems, thereby improving service efficiency while managing control complexity through consolidation.
Solution Approach 2:
The control unit acts as an intermediary that receives target object information, processes it into structured sub-tasks, and translates these into coordinated commands for the gripping and moving apparatus. This intermediary layer simplifies the control architecture by providing a clear interface between task planning and execution.
3Measurement precision
If target object information is analyzed and sub-tasks are generated, then task execution accuracy improves, but processing time increases
Solution Approach 1:
The patent performs preliminary analysis of target object information to identify key attributes and spatial relationships before generating sub-tasks. By pre-processing and structuring the information in advance, the system reduces the computational burden during actual task execution, thereby maintaining high accuracy while minimizing processing time delays.
Data Source
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.