Niryo Conveyor Belt Add On
This Conveyor Set compliments the Niryo NED Robot Arm
It is part of the ecosystem designed to help prototype an industrial production line.
Ned is a collaborative 6-axis robot based on open-source technologies.
Exceptionally useful for:-
- Education
- Vocational training
- Research laboratories
High quality - low cost robotics for learning at all levels
Give your projects new perspectives and prototype advanced industry 4.0 processes with the Conveyor Set.
Main features:
- Bidirectional
- Adjustable speed
- Autonomous
- Adapts to the Ned ecosystem
Included with the Conveyor Sets
| Standard Conveyor Set | Education Conveyor Set | |
| 1 x Conveyor Belt | ✓ | ✓ |
| 1 x Infrared module | ✓ | ✓ |
| 1 x Control box (for an autonomous use) | ✓ | ✓ |
| 1 x Power supply (for an autonomous use) | ✓ | ✓ |
| 1 x Set of cables | ✓ | ✓ |
| 6 x Objects to handle (3 squares & 3 rounds) | ✓ | ✓ |
| 2 x upgraded jaws for the Custom Gripper | ✓ | ✓ |
| 4 x Vision workspace landmarks | ✓ | ✓ |
| 1 x Conveyor end stop | ✓ | ✓ |
| 1 x Slope | ✓ | ✓ |
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Conveyor
| Effective Delivering Distance | Distance 700 mm |
| Dimensions | 712 mm × 225 mm × 60 mm |
| Direction of movement | Bidirectional |
| Maximum speed | 38 mm/s |
| Maximum payload | 2 kg |
| Drive Mode | Niryo Stepper Motor |
| Control Method | Niryo Studio / Python API / Niryo Modbus /Arduino |
IR sensor
| Power | 4.5 V – 5.5 V |
| Signal | Digital input |
| Range | 6 cm – 80 cm |
Example Curriculum for use with the Niryo NED
Niryo produce a curriculum that is followed in many universities and training establishments
Start using NED
| STARTER GUIDE |
|
Introduction to robotics |
Languages & Protocols
| PROGRAMMING NED WITH BLOCKLY | PROGRAMMING NED WITH PYTHON | PROGRAMMING NED WITH ROS | TRAJECTORIES GENERATION & SIMULATION WITH MATLAB® |
|
Presentation of Blockly The programming environment Programming Blocks Exercise |
How to use python API Connection to the robot First script Basic python API Functions Constants Methods Programming NED with Python API Practical Case: Pick & Pack |
Installation Interact with ROS command line Simulation of NED with RVIZ Nodes, Topics and Services Exercise: Nodes and Topics Test: Nodes and Topics Moveit's discovery Discovery exercise: Moveit Exercise: ROS in command Line |
What you will need Direct geometric model Inverse geometric model Trajectories generation Practical application Correction |
Vision & Image processing
| IMAGE PROCESSING IN PYTHON | DISCOVERY OF VISION WITH BLOCKLY |
|
What you will need Setup Implementation of an image processing pipeline Colour threshold Morphological operations Object detection Validation |
What you will need Setup Applications Exercise: Vision Pick Exercise: Multi- Reference Packaging Further on |
