Robot Task Determination from Reused Mapping Trajectories
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for determining robot paths rely on sensor accuracy and algorithm optimization, leading to unreliable and inefficient path generation with high labor costs, and manual editing is labor-intensive and prone to errors.
Innovation Solution
A method and apparatus that utilize an acquisition device to create a first route based on image acquisition, which is then processed to generate a second route for task determination, avoiding obstacles and requiring minimal manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If sensors and path planning algorithms are used to generate robot paths, then path generation is automated, but path reliability is low due to sensor accuracy limitations and weak algorithm optimization
Solution Approach 1:
The patent performs preliminary path planning by having the acquisition device traverse the entire target space and record its moving trajectory before actual robot task execution. This pre-recorded trajectory serves as a reliable reference path that avoids obstacles, eliminating the need for real-time sensor-based path planning and ensuring high path reliability.
Solution Approach 2:
The patent copies the acquisition device's moving trajectory to create the robot's execution path. Instead of relying on sensor data and algorithms to generate paths, the system directly uses the recorded trajectory of the acquisition device as the path template, ensuring that the robot follows a proven reliable route.
2Manufacturing precision
If manual editing of robot paths is performed on pre-generated maps, then path accuracy can be controlled, but labor cost is high and efficiency is low
Solution Approach 1:
The system performs self-service by automatically generating the robot execution path from the acquisition device's own moving trajectory without requiring manual intervention. The path is derived automatically from the recorded trajectory data, eliminating the need for manual path editing while maintaining high accuracy.
Solution Approach 2:
The path accuracy is ensured through preliminary action by recording the acquisition device's trajectory during the mapping phase. This pre-recorded trajectory inherently avoids obstacles and provides an accurate path template, eliminating the need for subsequent manual path editing while maintaining high precision.
3Manufacturing precision
If manual editing of task points and paths is required, then task precision can be ensured, but the process is labor-intensive and time-consuming
Solution Approach 1:
The patent merges the path generation and task point determination processes into a single automated workflow. Both the robot execution path and task points are generated simultaneously from the acquisition device's recorded trajectory and the target map, eliminating the need for separate manual editing steps and reducing overall setup time.
Solution Approach 2:
Task point information is determined in advance during the path generation process by identifying task points along the recorded trajectory. This preliminary determination of task points eliminates the need for subsequent manual configuration, ensuring both precision and efficiency.
Data Source
AI summary
The disclosure describes a method and apparatus for determining task information. The method includes obtaining a first route, the first route corresponding to the moving trajectory of an acquisition device in the process of acquiring a first image set of a target space, the first image set being used to determine a target map corresponding to the target space; determining a second route based on the first route, the second route being at least partially identical to the first route; and determining a target task of a target device in the target space based on the second route and task point information.