This in-depth training course aims to explore the most relevant artificial intelligence algorithms for robotic applications. It covers the basics of AI, machine learning techniques, computer vision, planning, and autonomous decision-making.
Objectives
Learn how to design intelligent robotic systems capable of interacting with their environment and collaborating with humans.
Is it for you ?
Robotics developers and engineers, innovation or digital transformation managers, technical trainers.
Prerequisite
Basic programming skills (Python recommended). Knowledge of mathematics (linear algebra, probability). Interest in robotics and AI technologies.
Your benefits
Content
Fundamentals of AI and Intelligent Robotics
Chapter 1: Introduction to Artificial Intelligence
- Definitions and types (weak vs. strong AI)
- History and developments
- Areas of application
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Chapter 2: Architecture of intelligent robotic systems
- Sensors, actuators, controllers
- Perception-decision-action loop
- Embedded systems and edge computing
Workshop 1: Simulation of a mobile robot with sensors
- Use of a simulator (e.g., Webots or Gazebo)
- Sensor configuration and data visualization
Learning algorithms and computer vision
Chapter 3: Machine learning applied to robotics
- Supervised vs. unsupervised learning
- Regression, classification, clustering
- Simple neural networks
Chapter 4: Computer vision and environment recognition
- Image processing and object detection
- Facial and gesture recognition algorithms
- SLAM (Simultaneous Localization and Mapping)
Workshop 2: Object detection with OpenCV and TensorFlow
- Implementation of a recognition model
- Application to a mobile robot
Planning, decision-making, and human-robot collaboration
Chapter 5: Planning and navigation algorithms
- Search algorithms (A, Dijkstra)
- Trajectory planning
- Obstacle avoidance
Chapter 6: Human-robot interaction and ethics
- Voice and gesture interfaces
- Reinforcement learning
- Ethical issues and safety
Workshop 3: Designing a collaborative human-robot scenario
- Setting up an assistant robot in a simulated environment
- Interaction with the user via voice or gesture commands
💡 Useful information
Our training sessions are offered in Montreal or Quebec City, in person or in virtual format. Dates and locations are provided when you select your session below. If you have any questions regarding registration, schedules, the language of instruction, or cancellation policies, please consult our FAQ .
Trainers
Private or personalized training
Do you have several employees interested in the same training course? Whether in person at your offices or remotely in virtual mode, we offer private training courses tailored to your team's needs. Group rates are available. Contact us for more details or request a quote online.
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