Course : ROS, Robot Operating System, create robotic applications
Practical course - 3d
- 21h00 - Ref. ROH
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 | Understanding the possibilities of ROS and its architecture |
| Learn how to use simulators and debugging tools to advance your project |
| Setting up autonomous navigation on a mobile robot |
| Designing embedded image processing |
| Use a robotic arm adapted to your needs |
Intended audience
Various developers, robotics engineers, embedded systems engineers, technical project managers.
Prerequisites
Good knowledge of Python and C++.
Course schedule
1 Preamble
- Definition of ROS.
- Advantages over other existing solutions.
- Installation and configuration on Ubuntu.
- Presentation of the advantages of Docker encapsulation.
- ROS in an embedded system.
Hands-on work
Installing and configuring ROS on Ubuntu.
2 The architecture
- File system navigation.
- The notion of package and stack.
- Nodes, topics, services, actions.
- ROS Master and parameter server.
Hands-on work
Create packages, nodes, topics, services and actions.
3 Simulators
- Presentation of existing simulators.
- Discover Gazebo, a 3D simulator.
- Create objects to be simulated using URDF files.
- Add a URDF file to Gazebo.
Hands-on work
Simulate the movement of a robot in a virtual space. Create an object to simulate.
4 Debug
- Log messages.
- The various system supervision tools.
- Discover RVIZ.
- Replay scenes with the Bags.
Hands-on work
Supervise and replay the movement of a robot in a virtual space.
5 Autonomous navigation
- The difference between AGV (Automated Guided Vehicle) and UGV (Unmanned Ground Vehicle).
- Creating a navigation map.
- The concept of AMCL (Adaptive Monte Carlo Localization).
- The concept of SLAM (Simultaneous Localization and Mapping).
- Keywords for autonomous navigation with ROS.
- ROS stack navigation.
- The different configurations to be aware of.
Hands-on work
Implementation of autonomous navigation.
6 Computer vision
- Overview of the main components used in vision.
- Recover video streams and/or data.
- Overview of the different solutions available for image processing.
- OpenCV and image processing.
Hands-on work
Creation of facial recognition.
7 Robotic arms
- Presentation of robotic arm selection criteria.
- Mathematical models for arm control.
- Arms for everyone on ROS.
- MoveIt and its architecture.
- Integration of a robotic arm in MoveIt.
Hands-on work
Robotic arm control.
Publication date : 05/13/2024
PARTICIPANTS
Various developers, robotics engineers, embedded systems engineers, technical project managers.
PREREQUISITES
Good knowledge of Python and C++.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
Various developers, robotics engineers, embedded systems engineers, technical project managers.
PREREQUISITES
Good knowledge of Python and C++.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TEACHING AIDS AND TECHNICAL RESOURCES
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
Dates and locations
Last places available
Guaranteed date, in person or remotely
Guaranteed session