Without doubt robots are cool, but why do we need them? Let’s discuss some of the things that robots can help people do.
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This video summarises the important points from this masterclass.
We introduce the topic of robotics, the recent history, why we need robots and the future of robots.
Our planet is hurting and we need to understand better where the pain is and how the ecosystem is coping. We need data, but traditional methods are slow and expensive, can robots help?
Food. With more people we need to have more of it, but there are real challenges with producing what we will need. Can robots help?
When matching points between scenes with large different viewpoints we need to account for varying image size and rotation. SIFT features are a powerful way to achieve this.
An image contains a huge amount of pixel data, and a video stream is a massive flow of pixel data. Typically a robot has only a few inputs, the position or velocity of its joints. How do we go from all that camera data to the small amount of data the robot really needs?
For a binary image that contains multiple blobs we must first transform it using connectivity analysis or region labeling. Then we can describe each of the blobs in the scene we first need to transform the image using connectivity analysis. Each of the blobs can then be described in terms of its area, centroid position, […]
A robot can use a camera to capture an image of the world. The image contains millions of pixels, but the value of each pixel is not particularly informative about what’s present in the scene. We need a more concise or ‘higher level’ way to represent the information, and this is what we refer to […]
Imagine trying to find a face in a crowd. If we know what the face looks like we could search for it at every possible location — this is the essence of template matching. To make it work we need to describe how similar each area we are checking is to the reference face image […]