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Example application: Bin Picking

This video shows a BinPicking application that was assembled in DRS from these individual components.

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Wall of building blocks

A two-step process of localizing the building blocks ensures a flat wall surface.

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Domino

With a special grip technique to change the gripping position, building blocks can be placed upright and thus be assembled in a domino line.

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Compact tower of blocks

Force-guided operations help to build a tower out of building blocks where the individual blocks lie directly against each other without a gap.

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A pile of building blocks

Individual blocks are detected, located, and grabbed from an unsorted pile and then placed precisely in a structure.

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Preparing toast

3D images for locating the toast and equipment are used for motion planning. This allows handling of irregular objects and automatic compensation of position variations.

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Wiping Table

A 3D scan is the basis for generating an adaptive wipe trajectory on a table surface.

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Calibrating an external depth camera pose

Calibration of the pose of a depth camera relative to the robot position. Its sensor data can then be fitted in at its correct location in the scene.

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Plugging in power supply connectors

The connector on a wire harness is 3D scanned and precisely localized. After that it is picked up with a gripper and can be plugged into the appropriate socket.

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Handling of Eggs

After localizing eggs in 3D scan data they can be picked up safely and gently with a Piab piSOFTGRIP gripper mounted on a robotic arm.

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Camera calibration of Depth Camera mounted on the arm

This video shows the calibration of the position and orientation of a camera. The calibration functionality is an integral part of the DRS software.

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Adaptation of paths from CAD data to new object positions

Using our logo as an example, this video shows how prepared robot paths are adapted to current localized object positions.

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Tests for collision avoidance while collecting spoons

Here the 3D scan data is used to test the robot trajectories for collisions in addition to object recognition.

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Environment scan using an Intel RealSense Depth Camera

The moving sensor captures depth images in all directions, a data fusion algorithm is used to merge them into a 3D point cloud.

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Example application: Inserting spoons into cutlery tray

After scanning and locating spoons, they are accurately stacked and placed in a cutlery tray.

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Example application: Handling of Cutlery Knives

In this video, knives are detected in the scanned 3D data, picked up with an electromagnet and placed in a container.