Robot Path Planning for Undetermined Sections and Obstacle Avoidance
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Solution Overview
Problem
Existing robot systems require complex operation programming due to the need for precise path planning and interference avoidance, which can be cumbersome and inefficient.
Innovation Solution
A robot system with a control method that generates additional paths dynamically based on real-time environmental information, using a control system that includes a path plan unit to create paths for undetermined sections, ensuring interference-free operation through simulation and path generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If precise path planning and interference avoidance are implemented using geometric model means, then robot operation reliability is improved, but operation programming complexity increases
Solution Approach 1:
The robot system performs self-path-planning by autonomously generating motion paths based on geometric models of itself and the work environment. The control device automatically conducts interference inspections between robot models and environmental models, eliminating the need for complex manual path programming while ensuring reliable collision-free operation.
Solution Approach 2:
The system performs preliminary path planning and interference inspection before actual robot execution. The control device generates motion paths and validates them against geometric models in advance, ensuring that the robot can execute pre-validated paths without real-time complex calculations, thus improving reliability while keeping programming straightforward.
2Reliability
If complex path planning algorithms are used to avoid interference, then robot safety is improved, but programming time increases
Solution Approach 1:
The patent replaces complex manual path planning mechanics with automated computational geometry. The control device uses geometric model means to automatically generate and validate paths, substituting the need for time-consuming manual programming with efficient automated algorithms that ensure safety without increasing programming time.
Solution Approach 2:
The system creates geometric model copies of the robot and work environment to perform virtual interference inspections. By working with these digital models rather than physical trial-and-error, the system validates safe paths computationally before execution, ensuring robot safety while minimizing programming time through virtual simulation.
Data Source
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AI summary
A robot system 1 includes: a calling unit configured to sequentially call a plurality of commands representing an operation path of a robot including an undetermined section; a path plan unit configured to generate an additional path for the undetermined section; and a control unit configured to operate the robot based on a command called by the calling unit and the additional path, wherein the path plan unit is configured to generate the additional path based on surrounding environment information of the robot during the control unit operates the robot based on a command called from the plurality of commands.