Object Recognition using Deep-Learning

We are developing a 6-DOF (position / orientation) attitude recognition algorithm for objects using deep learning. By applying the 3D model to the point cloud data using the recognition result, the robot can operate an object such as pick and place. We will also work on the development of technology to learn movements such as the trajectory of the hand when manipulating an object on the robot arm and the trajectory of the moving robot.