Learning Height for Top-Down Grasps with the DIGIT Sensor
Thais Bernardi,Yoann Fleytoux,Jean-Baptiste Mouret,Serena Ivaldi,Thais Bernardi,Yoann Fleytoux,Jean-Baptiste Mouret,Serena Ivaldi
We address the problem of grasping unknown objects identified from top-down images with a parallel gripper. When no object 3D model is available, the state-of-the-art grasp generators identify the best candidate locations for planar grasps using the RGBD image. However, while they generate the Cartesian location and orientation of the gripper, the height of the grasp center is often determined by ...
