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Showing posts from April, 2022

Robotshop

The Socially Intelligent Machines Lab of the Georgia Institute of Technology researches new ideas of guided teaching interplay with robots. The goal of the tasks is a social robotic that learns task and goals from human demonstrations without prior knowledge of high-level ideas. These new concepts are grounded from low-level steady sensor information via unsupervised learning, and task objectives are subsequently realized utilizing a Bayesian approach. These ideas can be used to transfer information to future tasks, resulting in sooner learning of those tasks. The results are demonstrated by the robotic Curi who can scoop some pasta from a pot onto a plate and serve the sauce on top. There is a subfield within computer vision the place artificial systems are designed to imitate the processing and habits of organic system, at totally different ranges of complexity. In the second case, the robot police officer would gesture to indicate "down the road, then flip right". It i