Publication date : 05/24/2024
Course : Artificial Intelligence, useful algorithms applied to robotics
Practical course - 3d
- 21h - Ref. IAG
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 | Découvrir les algorithmes et solutions de Machine Learning et Deep Learning utiles à la robotique |
| Know how to use optical character, face and QR code recognition tools |
| Learn how to create software robotic interactions based on scenarios, chatbot |
| Virtualize your environment: maps, digital twins, simulations |
| Discover frameworks and software toolkits useful for your robotics project |
Intended audience
Robotics integrators, robotics engineers, technical project managers, developers.
Prerequisites
Knowledge of a programming language such as C, C++ or Python.
Course schedule
1 Introduction
- History and culture of robotics, IoT.
- Artificial Intelligence and its Machine Learning and Deep Learning families.
- New technology applications and developments.
- From algorithm to circuit board.
2 Algorithms and Artificial Intelligence
- Definitions and examples of useful algorithms.
- Scenarios, graphs, decision trees.
- Machine Learning, supervised and unsupervised learning.
- Deep Learning, principles.
- Reinforcement learning, genetic algorithms.
Hands-on work
Robotic scenario implementation, automatic decision-making, anomaly detection and prevention.
3 Image analysis
- QR Codes, barcodes: creation and reading.
- Optical character recognition: OCR.
- Identification and authentication of objects and faces.
- Track points, objects and paths.
Hands-on work
Detect and track objects, react to QR codes or faces.
4 Sound, speech recognition, chatbot and NLP
- Use cases, possibilities and limits.
- From voice to text.
- API, connected and unconnected mode.
- Chatbot, closed scenario, open scenario (TAL, NLP).
- Text To Speech.
Hands-on work
Create a chatbot that interacts with its environment.
5 2D and 3D mapping and robotic virtualization
- Transform a map into a graph.
- Finding your way: Dijkstra, A-Star, optimizing map reading.
- Photogrammetry algorithms.
- Real-time mapping: sonar, lidar, camera.
- Virtual robotic environment and digital twin.
Hands-on work
Use data captured by a robot to reconstruct a map, find the shortest path between two points, and test the solution.
6 Robotic communication
- The main protocols: 4G, 5G, Lifi, Wifi, Bluetooth.
- Electronic and computer communication: serial, TOR, multiplexing, demultiplexing.
- Real-time video and audio streams.
- Cryptography, transmission encryption.
Hands-on work
Control robotic accessories: ethernet relays, WiFi, servomotors, cameras.
7 Frameworks and toolboxes
- Arduino, Raspberry Pi: presentations.
- Graphics libraries: OpenCV, BoofCV.
- ROS: Robot Operating System.
- Tensorflow, Keras, OpenAI, CNTK.
- Scratch: elementary brick programming.
- Simulation: Unity, Blender, Bullet.
Hands-on work
Test different frameworks on the examples seen above.
Customer reviews
5 / 5
Customer reviews are based on end-of-course evaluations. The score is calculated from all evaluations within the past year. Only reviews with a textual comment are displayed.
PIERRE-MARIE P.
01/12/25
5 / 5
Instructeur intéressé et intéressant, pédagogue, et explique bien. Le cours est bien structuré et les exercices pertinents.
PHILIPPE M.
01/12/25
5 / 5
Le domaine traité mériterait une formation plus longue.
PARTICIPANTS
Robotics integrators, robotics engineers, technical project managers, developers.
PREREQUISITES
Knowledge of a programming language such as C, C++ or Python.
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.
Robotics integrators, robotics engineers, technical project managers, developers.
PREREQUISITES
Knowledge of a programming language such as C, C++ or Python.
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.
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