Mobile Robot 3D Vision Obstacle Avoidance Solution Introduction
With the large-scale application of mobile robots in warehousing, logistics, medical health and other fields, how to ensure that mobile robots can stably and reliably achieve obstacle avoidance in complex environments is becoming an important technical challenge. In practical applications, incomplete obstacle avoidance functions can easily lead to safety hazards such as collisions and accidents. Reliable obstacle avoidance requires robots to have accurate environmental perception and understanding abilities during movement.
2D LiDAR has the following limitations in obstacle avoidance:
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Lack of altitude information: 2D lidar scans are usually limited to one plane, making it easy to miss low or suspended obstacles.
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Poor performance in complex scenarios: In complex or dynamic environments, 2D lidar is difficult to accurately identify and respond to diverse obstacle shapes and position changes.
Solution Overview
As the first company in China to focus on mobile robot vision technology, MRDVS has launched the cost-effective RGB-D Multi-Modal Machine Learning industrial-grade obstacle avoidance camera S series for mobile robot obstacle avoidance applications. It has been widely used in various scenarios such as unmanned forklifts, stackers, submersible trucks, container trucks, industrial cleaning robots, as well as medical and service robots.
The S series obstacle avoidance camera is capable of real-time acquisition of three-dimensional information and RGB texture information of the surrounding environment, which can well perceive low and suspended obstacles. The obstacle avoidance algorithm built into the S series camera can more comprehensively understand the surrounding environment by combining RGB images and depth images, and achieve efficient semantic recognition and classification. It can recognize the position and size of obstacles and their types, such as people or objects of different shapes, etc. Compared with 2D LiDAR, using the S series obstacle avoidance camera can better realize the obstacle avoidance function of mobile robots, making mobile robots run safer, more stable, and more intelligent.
