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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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AI Robot Chef Prepares Fresh Salads

A kitchen robot controlled by Dino Robot Studio can prepare a salad from fresh ingredients.

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Teach Cable Plugging

This video shows how to teach cable insertion in Dino Robot Studio.

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Bin Picking of Apples

Irregular objects such as apples can be safely picked up with a suction cup by avoiding the base of the stem.

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Automated Cable Plugging with 3D Vision

Precise 3D image recognition and processing of the data allows cables to be plugged into a computer with pinpoint accuracy.

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Bin Picking of Oranges

With precise object detection and a vacuum suction cup, even delicate objects such as oranges can be handled.

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Kassow Cobot Random Bin Picking

High-resolution 3D images from a Wenglor sensor serve as a database for a binpicking application.

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Kassow Cobot Serves Drink Orders

The Kassow 7-axis robot arm serves drinks from a storage shelf. This application was created in Dino Robot Studio.

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Kassow 7-Axis Cobot Control

Dino Robot Studio controls a 7-axis robot arm from Kassow.

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Minute Steak Cooked by a Robot

Our good object recognition and grasp planning allows us to handle flexible objects, like a steak in this video.

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Self-Learning Bin Picking System

Through automatic grasping tests and continuous data recording, the system can independently generate new training data for its AI.

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Automatic CNC Machine Tending

The robot inserts aluminium blanks into a CNC milling machine. After machining, the finished workpiece is unloaded.

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Measuring Objects in 3D Data

Bolts and washers are measured using a Wenglor MLAS214 and DinoRobotStudio.

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3D Scanning of Carbon Fibre Parts with Wenglor MLAS214

Scanning challenging parts (black, reflective) with the Wenglor MLAS214 3D sensor.

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Automatic 3D Scanning with the Wenglor MLAS214 Sensor

High-resolution 3D scans are captured from a Kuka robot arm, assembled and processed.

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Yaskawa Robot Control in DinoRobotStudio

Various applications with Yakawa robot arms in DinoRobotStudio are shown.

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Coffee Robot for your Kitchen

A summary of the next three videos: A robot serves coffee and cleans up afterwards.

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Emptying the Dishwasher

After cleaning, the cups are taken out of the dishwasher again.

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Put Mugs in the Dishwasher

Used coffee cups are placed in a dishwasher.

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Robot serves coffee

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The necessary equipment and ingredients are localised in 3D.

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Bin Picking Solution in DinoRobotStudio with accurate placement

After BinPicking objects, they are placed at their target position with a specific orientation.

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Binpicking with 3D Pattern Projector

A high-resolution Wenglor ShapeDrive sensor that works with pattern projection is used to capture the 3D images.

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Robot prepares breakfast

A portion of muesli is prepared with a robot arm and DinoRobotStudio.

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Robot decorates Easter basket

Easter eggs and a chocolate bunny are put together in a basket by a robot.

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Plug in power cable

Precise recognition of the plug allows it to be inserted precisely into the socket.

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BinPicking chocolates

Small chocolate bars are picked up from a box and placed in an orderly fashion.

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Robot operates egg cooker

An Intel Realsense camera and a soft gripper make careful handling of eggs possible.

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Gripping without CAD data

With current 3D data, plums can be recognised and gripped.

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Screw connections

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To use an electric screwdriver, some steps in tool and object recognition are necessary.

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Screwing on a bracket

With 3D image processing and force-controlled robot movements, even more complicated assembly tasks can be solved.

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BinPicking with multiple object types

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M6 bolts and nuts are sorted apart in this binpicking application.

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Detecting and gripping M6 nuts

With the help of an Intel RealSense D405 camera, M6 nuts can be located and gripped.

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Gripping M6 Screws

This video shows a BinPicking application that uses an Intel RealSense D405 depth camera to locate and grip M6x20 screws.

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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.