Robotic Grasping

Robotic Grasping is a method that uses deep learning technology to identify the optimal way for a robot arm to grasp objects in various scenarios. The task aims to optimize grasping strategies and improve operational accuracy and efficiency by analyzing dynamic environments and unknown objects, which has significant application value and can be widely used in automated assembly, logistics sorting, and home service fields.