‘Ambidextrous’ robots may speed up e-commerce
Scientists have developed a novel “ambidextrous” approach that allows robots to grasp a diverse range of objects without training and could dramatically help speed up processing in e-commerce.
To rapidly fulfil the enormous volume and variety of orders, e-commerce companies such as Amazon, Walmart, and Alibaba are investing heavily in new warehouses, said researchers from the University of California, Berkeley in the US.
To address the shortage of workers, many companies are considering robots. However, reliably grasping a diverse range of products remains a challenge for robotics.
In the journal Science Robotics, the researchers describe a novel “ambidextrous” approach to grasping a diverse range of object shapes without training.
An “ambidextrous” robot can learn which type of arm gripper to use when picking up objects. “Any single gripper cannot handle all objects,” said Jeff Mahler, a postdoctoral researcher at the University of California, Berkeley.
Caption:To address the lack of laborers, numerous organizations are thinking about robots. Be that as it may, dependably getting a handle on a various scope of items remains a test for mechanical autonomy.