Robot Path Planning With 3D Environment Modeling and AR Validation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for planning robot paths in real environments are time-consuming, require significant experience, and often fail due to unmodeled or incorrectly modeled obstacles.
Innovation Solution
A method that involves detecting real environment data using a mobile and portable detection device, creating a computer-implemented three-dimensional model of the environment, planning a collision-free path using optimization algorithms, and visualizing the path in augmented reality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual path planning is used in real environments, then paths can be planned based on internal company practice, but it is time-consuming and requires considerable experience
Solution Approach 1:
The patent creates a digital copy (3D model) of the real environment using detection devices like LiDAR or cameras. This virtual model can be used for automated path planning algorithms, eliminating the need for manual planning while maintaining accuracy. The environment model serves as a reproducible copy that can be processed computationally without requiring expert human intervention each time.
Solution Approach 2:
The patent replaces the manual mechanical process of path planning with automated computational algorithms. Instead of relying on human experts to manually plan paths, the system uses optimization algorithms that automatically compute optimal paths based on the 3D environment model, substituting human cognitive work with automated computational processes.
2Reliability
If paths are planned in advance in simulation environment, then collision-free paths can be planned theoretically, but they cannot be easily executed in real environments if obstacles are not modeled or modeled incorrectly
Solution Approach 1:
The patent performs preliminary scanning and creation of the environment model before path planning. By detecting and modeling the real environment in advance, the system prepares accurate obstacle information that can be used for reliable collision-free path planning. This preliminary action ensures that the path planning algorithm has accurate environmental data to work with.
Solution Approach 2:
The patent implements a feedback loop where the planned path is visualized in augmented reality, allowing verification against the actual environment. If discrepancies are found between the model and reality, the system can detect and address these issues, ensuring the path remains valid in the real world. This feedback mechanism bridges the gap between simulation and reality.
3Productivity
If automated path planning algorithms are used, then path planning can be optimized based on quality criteria, but the system requires accurate 3D environment models
Solution Approach 1:
The patent employs a multi-functional detection device that can capture various types of environmental data (depth, color, texture) simultaneously. This universal detection approach creates a comprehensive 3D model that satisfies the accuracy requirements of automated path planning algorithms while enabling multiple functions including collision detection, path optimization, and augmented reality visualization.
Data Source
AI summary
A method for planning a path includes data of real surroundings of the robot using a detection device, in particular a mobile detection device, in particular a portable detection device; ascertaining a computer-implemented three-dimensional surroundings model on the basis of the detected data, in particular using at least one approximation of features, in particular points, detected using the detection device; planning a first path of the robot on the basis of the surroundings model and a computer-implemented model of the robot such that a collision between the robot model and the surroundings model is prevented; and visualizing a virtual representation of the planned first path using a visualization device in an augmented reality.