Robot Layout Generation Using Waypoints and Obstacle Avoidance
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Solution Overview
Problem
Existing layout generation systems for robots require significant user input and are inefficient in determining arrangements that minimize robot operation time, especially when obstacles are present.
Innovation Solution
A layout generation device and method that utilize a processor to register waypoints, generate arrangement candidates using particle swarm optimization, evaluate operation times, and automatically generate obstacle avoidance paths to optimize robot operation time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional layout generation systems are used, then user selection of arrangement patterns is required, but the robot operation time cannot be minimized efficiently
Solution Approach 1:
The system performs automatic arrangement search and evaluation without requiring user selection of arrangement patterns. The processor automatically generates multiple arrangement candidates, evaluates their operation times, and determines the optimal layout, making the system self-sufficient in optimizing robot operation time.
Solution Approach 2:
The system changes the evaluation parameter from simple geometric fit to operation time calculation. By calculating the actual operation time for each arrangement candidate based on robot movement paths and obstacle avoidance requirements, the system identifies arrangements that minimize operation time rather than relying on user-selected patterns.
2Measurement precision
If detailed evaluation of operation time is performed for each arrangement, then optimal layout can be found, but processing time and computational load increase
Solution Approach 1:
The system performs evaluation on a selected number of arrangement candidates rather than exhaustively evaluating all possible arrangements. By generating multiple candidates and evaluating a manageable subset, the system achieves sufficient optimization accuracy without excessive processing time.
Solution Approach 2:
The system calculates operation times for multiple arrangement candidates in advance before final layout determination. This preliminary evaluation allows the system to identify promising candidates and select the optimal arrangement based on pre-computed operation time data, reducing the need for iterative refinement.
Data Source
AI summary
A layout generation device includes: a waypoint registration unit, an arrangement generation unit, an arrangement evaluation unit, an arrangement extraction unit, a path determination unit, a path generation unit, an arrangement exclusion unit, and an arrangement evaluation update unit. The arrangement evaluation unit evaluates, as an evaluation value, an operation time of a robot without considering an obstacle for each of arrangements. The arrangement extraction unit extracts an arrangement having a best evaluation value from among the evaluated arrangements by the arrangement evaluation unit. The path determination unit determines whether or not an extracted arrangement extracted by the arrangement extraction unit needs to avoid an obstacle in terms of an operation of the robot via a waypoint.


