Course Outline
Introduction to Computer Vision for Robotics
- Survey of computer vision applications in robotics.
- Key challenges in perception and visual understanding.
- Setting up the development environment with OpenCV and Python.
Image Processing Fundamentals
- Image representation and manipulation techniques.
- Filtering, edge detection, and feature extraction methods.
- Color spaces and segmentation techniques.
Object Detection and Tracking with OpenCV
- Detecting objects using classical methods (Haar cascades, HOG).
- Tracking moving objects within video streams.
- Integrating visual feedback into robotic systems.
Deep Learning for Visual Perception
- Overview of convolutional neural networks (CNNs).
- Training and deploying object detection models.
- Applying pre-trained models (YOLO, SSD, Faster R-CNN).
Sensor Fusion and Depth Perception
- Integrating camera data with LiDAR and ultrasonic sensors.
- Depth estimation and 3D reconstruction.
- Perception for obstacle avoidance and navigation.
Vision-Based Control and Decision Making
- Applying computer vision to robotic manipulation.
- Visual servoing and closed-loop control.
- Autonomous decision-making based on visual input.
Deploying and Optimizing Vision Models
- Deploying models on embedded systems and edge devices.
- Optimizing inference performance for real-time applications.
- Troubleshooting and improving accuracy.
Summary and Next Steps
Requirements
- Understanding of fundamental robotics concepts.
- Proficiency in Python programming.
- Familiarity with core machine learning principles.
Audience
- Robotics engineers.
- Computer vision practitioners.
- Machine learning engineers.
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 4800 € + VAT*
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Testimonials (2)
Supply of the materials (virtual machine) to get straight into the excersises, and the explanation of the Ros2 core. Why things work a certain way.
Arjan Bakema
Course - Autonomous Navigation & SLAM with ROS 2
its knowledge and utilization of AI for Robotics in the Future.
