Nowadays, robots can be seen everywhere in our daily lives. There are various types of robots, such as industrial robots, service robots, inspection robots, epidemic prevention robots, and so on, which have brought us convenience in our lives. If robots cannot quickly and accurately perceive and measure their surroundings during their movement, they are likely to collide with obstacles or people, resulting in economic losses or personal safety accidents.
Robot Collision Avoidance
Scheme Introduction
Nowadays, robots can be seen everywhere in our daily lives. There are various types of robots, such as industrial robots, service robots, inspection robots, epidemic prevention robots, and so on, which have brought us convenience in our lives. If robots cannot quickly and accurately perceive and measure their surroundings during their movement, they are likely to collide with obstacles or people, resulting in economic losses or personal safety accidents.
As the logistics industry continues to grow, manpower alone is no longer able to support the massive logistics transportation system. This has led to inaccurate data, delayed handling of out-of-stock and overstock situations by management personnel, greatly reducing the operational efficiency of logistics transportation. In order to improve customer market share and transportation efficiency, and reduce labor and overall transportation costs, Benewake has launched an obstacle avoidance solution for AMR, AGV, and RGV, assisting the industry to move towards a more stable, flexible, and faster automation direction.
The solid-state LiDAR and ToF laser ranging module can be widely used in industrial and service environments. With its customizable point cloud data output mode, centimeter-level high-precision ranging and other features, it can tailor-made product solutions for customers. Due to its small size, easy integration, moderate price and other advantages, Benewake LiDAR is also widely used in service robots to help them achieve autonomous movement and functions such as obstacle avoidance and fall prevention.