Robot Task Planning From Demonstrated Boundary Trajectories
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Solution Overview
Problem
The deployment process for robots in large operation areas is cumbersome and costly, requiring map construction, obstacle marking, and skilled personnel, which limits their application.
Innovation Solution
A robot multi-task operation planning method and system that utilizes the coordination relationship among tasks to create relevant area information by projecting work trajectories onto the operation surface, allowing robots to perform path planning and automatic operations without extensive deployment processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If map construction and obstacle marking are performed for robot deployment in large operation areas, then the robot can perform automatic operation, but the deployment process becomes extremely cumbersome and costly
Solution Approach 1:
The patent uses teaching and reproduction method where the robot copies the operator's demonstrated path and operations. The robot records the trajectory and task execution sequence during teaching, then reproduces this copied information for automatic operation, eliminating the need for complex map construction while maintaining automation capability
Solution Approach 2:
The patent performs preliminary path demonstration by the operator before automatic operation. The operator completes the work path first, recording the trajectory and operations, which serves as preliminary action that enables subsequent automatic execution without requiring pre-construction of maps or complex deployment preparation
2Device complexity
If teaching and reproduction method is used for robot deployment, then the deployment process is simplified, but it requires the operator to perform complete path demonstration which is extremely time-consuming
Solution Approach 1:
The patent allows the operator to demonstrate only the boundary path and key trajectory points rather than completing every operation detail. The robot records this partial demonstration and uses it to infer the complete work area and generate automatic operation plans, reducing the time-consuming complete path demonstration requirement
Solution Approach 2:
The patent introduces trajectory recording and processing systems as intermediaries between the operator's demonstration and the robot's execution. The system processes the demonstrated path into structured operation plans, task sequences, and boundary definitions, enabling the operator to teach less while achieving complete automatic operation coverage
3Extent of automation
If professional deployment personnel and operators are required for map construction and path setting, then the robot can perform automatic operation, but the cost and skill requirements increase
Solution Approach 1:
The robot performs self-deployment by automatically recording the operator's demonstrated path and autonomously generating operation plans, task sequences, and boundary definitions. The system processes the teaching data and creates the complete automatic operation program without requiring professional deployment personnel, enabling ordinary operators to deploy the robot
Solution Approach 2:
The robot copies the operator's demonstrated operations and trajectory, then automatically processes this copied information into structured deployment data including boundary lines, work areas, and task sequences. This copying and automatic processing eliminates the need for skilled deployment personnel to manually create maps and set paths
Data Source
AI summary
The disclosure provides a robot multi-task operation planning method and system, and an application of the robot multi-task operation planning method. The method includes: determining a first robot and a to-be-operated surface; selecting and combining a task set capable of simulating a boundary of an automatic operation area; selecting one or more task sets as a preliminary task set, and configuring a trajectory task for each task; executing a corresponding trajectory task while executing the preliminary task set, and finally fitting one or more complete and closed boundary lines based on a collected work trajectory; and enabling the robot to perform trajectory planning and automatic operation in the boundary lines. The disclosure creates relevant area information to complete the deployment of the robot, and requires no professional and cumbersome deployment processes such as map construction, editing and path setting.