Robotic Understanding of Spatial Relationships Using Neural-Logic Learning
Fujian Yan,Dali Wang,Hongsheng He,Fujian Yan,Dali Wang,Hongsheng He
Understanding spatial relations of objects is critical in many robotic applications such as grasping, manipulation, and obstacle avoidance. Humans can simply reason object's spatial relations from a glimpse of a scene based on prior knowledge of spatial constraints. The proposed method enables a robot to comprehend spatial relationships among objects from RGB-D data. This paper proposed a neural-l...
