Course Outline
Introduction to Computer Vision in Robotics
- Survey of computer vision applications in the robotics domain
- Major challenges in perception and visual interpretation
- Configuring the development environment with OpenCV and Python
Foundations of Image Processing
- Representation and manipulation of images
- Techniques for filtering, edge detection, and feature extraction
- Working with color spaces and segmentation methods
Object Detection and Tracking using OpenCV
- Identifying objects through classical techniques (Haar cascades, HOG)
- Following moving objects within video streams
- Incorporating visual feedback into robotic control systems
Deep Learning for Visual Perception
- Overview of convolutional neural networks (CNNs)
- Process of training and implementing object detection models
- Utilizing pre-trained architectures (YOLO, SSD, Faster R-CNN)
Sensor Fusion and Depth Perception
- Combining camera data with LiDAR and ultrasonic sensor inputs
- Estimating depth and performing 3D reconstruction
- Perception strategies for obstacle avoidance and navigation
Vision-Based Control and Decision Making
- Applying computer vision to robotic manipulation tasks
- Implementing visual servoing and closed-loop control
- Making autonomous decisions based on visual input
Deployment and Optimization of Vision Models
- Running models on embedded systems and edge devices
- Enhancing inference performance for real-time operations
- Debugging and improving model accuracy
Recap and Future Directions
Requirements
- A foundational understanding of core robotics concepts
- Proficiency in Python programming
- Basic familiarity with machine learning principles
Target Audience
- Robotics engineers
- Computer vision specialists
- 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.
