Method for navigating a robot, navigation system and robot
The method uses 3D sensor data to construct point cloud maps and generate elevation maps, enabling robots to navigate complex urban environments by differentiating passable and impassable areas, enhancing navigation accuracy and efficiency.
GB2636687APending Publication Date: 2025-07-02CONTINENTAL AUTOMOTIVE TECHNOLOGIES GMBH +1
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Patent Information
- Application Number
- GB2023008491
- Authority / Receiving Office
- GB · GB
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2023-06-07
- Publication Date
- 2025-07-02
AI Technical Summary
Technical Problem
Existing 2D navigation strategies struggle in outdoor environments due to factors like lighting, road conditions, and irregular terrain, making it difficult for autonomous robots to navigate effectively in urban settings.
Method used
A computer-implemented method using 3D sensor data to construct a point cloud map, determine robot pose, generate an elevation map, and plan a motion path based on a traversability map, incorporating 3D LiDAR and SLAM techniques to navigate complex urban environments.
Benefits of technology
Enables robots to navigate urban environments by distinguishing passable from impassable areas, allowing access to inclined surfaces like ramps, and improving navigation accuracy and efficiency in real-world scenarios.
✦ Generated by Eureka AI based on patent content.
Abstract
Computer-implemented method 100 for navigating a robot in an environment includes: Step 402, constructing a point cloud map representing the environment, based on 3D sensor data. Step 404, determining
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