"This installation consists of two identical robotic arms with cameras connected to two identical computers. Each computer is running a custom deep neural network that is trained to recognize the other robot. Using their cameras, the robots attempt to find and track each other as they move independently. Playfully dancing, the robots at times are attracted to each other. While at other times they seem repelled by their mate."
"Tension increases as they almost touch only to quickly pull away. If one of the robots does not see the other it will go to a resting position briefly before it begins to look for its counterpart again. When a robot positively identifies it's mate a given number of times, the network is re-trained based on the new data. Through this continual training and re-training, the robots conceivably increasing their proficiency at recognizing and finding one another."
Two robotic arms with cameras connect to computers running custom deep neural networks trained to recognize the counterpart robot. The robots use their cameras to locate and track each other while moving independently. Their movements alternate between playful attraction, apparent repulsion, near-touch tension, and brief resting when one loses sight of the other. When a robot identifies its mate repeatedly, the network is re-trained on the new data to improve performance. Computers run Linux with NVIDIA RTX 2060 Super GPUs; robotic arms are UFactory xArm 5s controlled via an xArm Python API.
Read at CreativeApplications.Net
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