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• W2890631088 abstract "We consider the task of controlling a quadrotor to hover in front of a freely moving user, using input data from an onboard camera. On this specific task we compare two widespread learning paradigms: a mediated approach, which learns an high-level state from the input and then uses it for deriving control signals; and an end-to-end approach, which skips high-level state estimation altogether. We show that despite their fundamental difference, both approaches yield equivalent performance on this task. We finally qualitatively analyze the behavior of a quadrotor implementing such approaches." @default.
• W2890631088 created "2018-09-27" @default.
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• W2890631088 date "2018-09-24" @default.
• W2890631088 modified "2023-09-22" @default.
• W2890631088 title "Vision-based Control of a Quadrotor in User Proximity: Mediated vs End-to-End Learning Approaches" @default.
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