After working with a simulation to help students understand the meaning of properties and characteristics, students are given a variety of small common objects to sort based on observable properties.

The network also could detect and classify other objects with nearly no overhead, allowing for better sorting according to the task defined by the operator. (See Figure 2 below). Deep learning used in ...

“Accurate and rapid identification and depiction of objects from digital images (e.g., aerial images, smartphone images, etc.) and video data is increasingly important for a variety of ...

They then trained the robotic arm to pick novel objects from a cluttered bin, using any one of four main grasping behaviors: suctioning onto an object, either vertically or from the side; gripping ...