Grabbing and piecing together randomly arranged building blocks may seem like a child's game, but the recognition, grabbing, and placement actions of robots and robotic arms represent that robots and their handling systems can independently recognize objects, conduct tests, and ultimately make autonomous decisions. With the help of machine learning, transportation solutions will autonomously recognize rules and respond based on databases and algorithms in the future. The Xiongke intelligent grasping system collects data through multiple sensors and makes intelligent decisions through data association.

Reducing ergonomic disadvantages is an important advantage of human-machine collaboration applications. The previously launched safety industrial robotic arm has a clamping force of only 140N and is limited to the assembly of small components. At the Hanover Industrial Fair, Xiongke will showcase the Co-act EGL-C collaborative robotic arm with higher load capacity and wider application range, bringing new potential for human-machine collaboration in the field of handling.