Computer Vision & Robotics Course
This course equips engineering professionals with essential computer vision skills for mobile robotics in warehouse automation. Participants learn detection, tracking, depth estimation, and occupancy mapping, culminating in real-time deployments on embedded GPUs for safe and efficient navigation. Ideal for those advancing industrial robotics solutions, it combines theoretical foundations with practical implementation for reliable robot performance in dynamic real-world settings.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain hands-on expertise in computer vision and robotics for building dependable mobile robots suited to warehouse environments. Master geometric vision principles, camera calibration, image formation techniques, and reliable feature extraction methods. Progress to advanced topics like contemporary object detection, tracking algorithms, image segmentation, and precise depth estimation. Additionally, develop skills in curating datasets, generating synthetic data, deploying models on embedded GPUs, implementing safety-oriented human detection, creating occupancy maps, and integrating smooth navigation systems.
Elevify advantages
Develop skills
- Vision geometry and calibration: develop precise camera models for robot navigation.
- Real-time object detection: implement efficient YOLO-based models on embedded hardware.
- Safety-focused human tracking: identify, follow, and assess nearby individuals.
- Free-space and obstacle mapping: integrate RGB, depth, and lidar data into occupancy grids.
- Dataset creation and adaptation: build, annotate, and tailor vision datasets for warehouses.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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