Robotics and automation: New robots improve material handling efficiency

The advent of robotics means that warehouse workers can spend less time on material handling and more time digging in and serving customers. It also creates opportunities for workers to manage and "train" new equipment. For years, warehouses have been quietly incorporating robots into their material handling operations, but over the past 18 months, the trend has moved into high gear due to a surge in e-commerce demand and a general labor shortage during the new crown epidemic.

This demand is not expected to stabilize anytime soon. The surge in automation could have a ripple effect on the workforce, namely rewriting the job descriptions of many workers in manufacturing, logistics and retail. Not only will robots speed up operations, especially in areas with severe labor shortages, they will also create new jobs for workers who can manage, maintain and "train" automated equipment, suppliers say.

How are robots changing jobs in the warehouse material handling industry? How are people "training" robots to do certain jobs in DC?

Currently, most robots are programmed by people who either write the software code or physically guide the robot's arm into the right position. But the next generation of robotics increasingly relies on artificial intelligence (AI) to guide the direction, giving workers complete freedom to perform other DC tasks.

How is robotics changing the material handling process in the mine?

In the process of mining and transportation, ores are often mixed with wood, steel nails, rags, plastic parts, waste filling pipes and other sundries. These sundries has seriously affected the safety and effectiveness of equipment in the transportation, crushing, grinding and beneficiation. In the past, manual sorting was usually used to remove it, but there are serious safety and occupational health risks in manual sorting, as well as problems such as incomplete manual sorting. The robot for mining can effectively solve the above problems.

Through a multi angle, multi-dimensional stereo high-precision camera, the intelligent material removal robot quickly scans the ore on the conveyor The self-developed CRM-CNN foreign object recognition algorithm accurately locates the 3D position of the debris, controls the robot to grab the The self-developed CRM-CNN foreign object recognition algorithm accurately locates the 3D position of the debris, controls the robot to grab the foreign object, and puts it into the foreign object collection box.