Source: https://youtu.be/nx3k4XA3x4Q |
The team trained the robot using a set of eight simple salad recipes. After observing a human demonstrator prepare a salad in a video, the robot successfully identified the recipe being made and replicated it.
The robot was programmed with a cookbook of eight simple salad recipes. After watching a video of a human demonstrating one of the recipes, the robot was able to identify which recipe was being prepared and make it. In addition, the videos helped the robot incrementally add to its cookbook.
The researchers used computer vision techniques to analyze each frame of video and identify different objects and features such as ingredients, knives, and human demonstrator's arms, hands, and face. The robot then performed mathematical operations on the vectors to determine the similarity between a demonstration and a vector.
The robot was able to recognize the correct recipe 93% of the time after watching 16 videos. It could also detect slight variations in a recipe such as making a double portion or normal human error.
Overall, this technology has many potential applications beyond cooking. It could be used to develop robots that can learn new skills by watching videos of humans performing those skills . This could be useful in a variety of industries from manufacturing to healthcare.
The technology behind the robot chef has many potential applications beyond cooking. For example, it could be used to develop robots that can learn new skills by watching videos of humans performing those skills. This could be useful in a variety of industries, from manufacturing to healthcare.
In addition, the machine learning algorithms used by the robot chef could be applied to other areas of research. For example, researchers at the University of Cambridge are using similar algorithms to analyze medical images and identify patterns that could help diagnose diseases.
Overall, the technology behind the robot chef has the potential to revolutionize many different industries by allowing machines to learn new skills more quickly and efficiently.
Watch the robot from the video below:
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