Robot Guide-Path Mapping for Efficient Autonomous Operation
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Solution Overview
Problem
Existing robots with autonomous operation functions face low exploration efficiency and inadequate operation path planning in unexplored areas, leading to inefficient autonomous operations.
Innovation Solution
A robot autonomous operation method that involves manual guiding along a guide path using a positioning sensor, generating a map, and performing reasonable operation path planning using SLAM technology and algorithms like Chinese Postman Problem or Traveling Salesman Problem to improve exploration and operation efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the robot performs autonomous operation without manual guiding, then the automation level is improved, but the robot cannot determine whether the operation scene has been explored, resulting in low exploration efficiency
Solution Approach 1:
The patent implements a feedback mechanism where the robot continuously detects whether an area has been explored and provides this information back to the path planning system. The processing module determines unexplored areas based on map data and current position, then adjusts the operation path accordingly, creating a closed-loop control system that improves exploration efficiency while maintaining automation.
Solution Approach 2:
The robot performs self-exploration and self-mapping operations autonomously. The positioning module and processing module work together to automatically determine the robot's location, identify unexplored areas, and generate appropriate operation paths without human intervention, enabling the system to serve itself in the exploration process.
2Area of stationary object
If the robot explores unexplored areas without proper path planning, then the coverage of operation scene is improved, but the operation efficiency is reduced due to unreasonable paths
Solution Approach 1:
The path planning module performs preliminary path calculation before the robot enters unexplored areas. By pre-processing the operation path based on map data and identified unexplored regions, the system ensures that the robot follows optimized routes, avoiding random or inefficient exploration patterns and maintaining high operation efficiency.
Solution Approach 2:
The operation path is dynamically adjusted based on real-time exploration status. The processing module continuously updates the operation path as the robot discovers new unexplored areas, making the path planning adaptive and dynamic rather than static, which optimizes both coverage and efficiency throughout the operation.
3Productivity
If the robot uses complex path planning algorithms, then the operation path optimization is improved, but the computational complexity and processing time increase
Solution Approach 1:
The path planning process is segmented into distinct functional modules: a positioning module for determining robot location, a processing module for identifying unexplored areas and calculating paths, and a control module for executing movement. This segmentation allows each module to handle specific tasks efficiently, reducing overall computational complexity while maintaining optimization quality.
Data Source
AI summary
A robot autonomous operation method, a robot, and a computer-readable storage medium are provided. The method includes: moving the robot, under a control of a user, along a guide path in an operation scene; generating a map including the guide path by positioning and mapping during the robot being moved along the guide path in the operation scene; generating a plurality of operation points on the guide path in the map; generating an operation path, wherein the operation path passes through all of the unpassed operation points and has a shortest total distance; and moving the robot, according to the operation path, to each of the unpassed operation points so as to perform an operation. In this manner, it controls the robot to explore the guide path in the operation scene by manual guiding, which can improve the exploration efficiency and reduce the risk of exploring unknown operation scenes.