The following video describes how, active vision and embodied artificial inteligence contribute to the ROMI platform. Funded by EU Grant 773875. Videos are available in: Hi-res (1080p Apple ProRes) Mid-res (1080p H265) Video script: (MINCHIN) At Humboldt University we see how ‘embodied artificial intelligence’, ‘computer vision’ and ‘active vision’, have been used to create feedbacks between an environment and the robotic tools in motion. (HAFNER) Our big goal is to understand intelligence, and to understand the principles of intelligence in natural systems like humans and other animals, and to extract these principles and put them into algorithms and put and test them in robots. We think that not everything can be pre-programmed into the robot, but the robot has to learn and make experiences by the interaction of the real world. So I can show that here, so the robot is like a child randomly moving its arm around, and at the same time learning the correlation between the motor commands here and the position of the hand as the robot can see, by its own, by its own camera. That that approach is called ‘embodied artificial intelligence’ this adaptive approach is very much important for the ROMI project where we're partners in, because we can't program everything just by hand because the the conditions change you have difference, you don't know how the how the area looks like the maybe even the robot hardware changes, the motor changes and so we can use our adaptive methods and apply them to the ROMI robots so that they can really interact with the with the plants and extract information from the plants. (SCHILLACI) We have a system that implements a sort of artificial curiosity. The artificial curiosity drives the movement of the robot towards interesting locations. For instance one of our tasks is to support the 3d reconstruction of plants, and instead of using predefined movements of the 3d scanner around the plants, our system instead is trying to to make more intelligent movements to to discover parts of the ...
(Embodied) Artificial Intelligence: making robots curious
2023-02-02
oai:zenodo.org:7600153
Audio-visual
Electronic Resource
English
DDC: | 629 |
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