IntermediateTopic 64 of 102Manufacturing, Robotics & Systems
Robot vision
Cameras and algorithms locate and inspect objects.
In depth
Cameras (2D, stereo, RGB-D, time-of-flight, lidar) with image processing, calibration (intrinsics/extrinsics, hand-eye), detection and pose estimation (classical features, CNNs). Used for bin-picking, inspection, guidance and mobile navigation. Lighting and calibration often dominate success.
Key points
- Camera model
- Pose estimation PnP
- Visual servoing
ExampleA vision-guided robot locates randomly placed parts and picks them.
What is Robot vision?
Cameras and algorithms locate and inspect objects.
Why is it important to understand robot vision?
Robot vision lets a machine find, identify and check objects, which removes the need for precise fixtures and allows flexible automation.
What does a vision system do?
It captures an image, extracts features such as edges or positions, and sends the result to the robot or the quality system.
Why do lighting and calibration matter?
Poor lighting causes wrong detections, and calibration maps image pixels to real positions, so both are essential for accurate results.
How is Robot vision used in practice?
Typical applications include locating randomly placed parts in a bin for picking, checking the presence and position of a component before assembly and inspecting a finished product for surface defects.
What should I learn before Robot vision?
Study "Robot control" first (topic 63 of 102 in Manufacturing, Robotics & Systems). It covers the groundwork this topic builds on.
What are the key points of Robot vision?
Camera model. Pose estimation PnP. Visual servoing.
Can you give an example of Robot vision?
A vision-guided robot locates randomly placed parts and picks them.
What comes after Robot vision?
The next topic is "Mobile robots", which builds directly on this one.
How difficult is Robot vision?
It is classed as Intermediate in Manufacturing, Robotics & Systems (topic 64 of 102). It is an intermediate topic. Work through the beginner topics in Manufacturing, Robotics & Systems first.