Wheeled Robots Path Planing and Tracking System Based on Monocular Visual SLAM
This addresses path planning and tracking for wheeled robots in warehouse logistics, but it appears incremental as it combines existing methods like direct visual odometry and optimized A*.
The paper tackles the problem of enabling warehouse logistics robots to perceive environments and plan paths efficiently using a monocular camera, resulting in a system verified through simulation and experiments for effectiveness and reliability.
Warehouse logistics robots will work in different warehouse environments. In order to enable robots to perceive environment and plan path faster without modifying existing warehouses, we uses monocular camera to achieve an efficient robot integrated system. Mapping and path planning the two main tasks presented in this paper. The direct method visual odometry is applied to localize, and the 3D position of major obstacles in the environment is calculated. We describe the terrain with occupied grid map, the 3D points are projected onto the robot motion plane, thus accessibility of each grid is determined. Based on the terrain information, the optimized A* algorithm is used for path planning. Finally, according to localization and planning, we control the robot to track path. We also develop a path-tracking robot prototype. Simulation and experimental results verify the effectiveness and reliability of the proposed method.