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In this paper, we introduce a novel approach where pixel brightness is replaced with learned feature maps as the visual information for the servoing loop.
Jan 11, 2024 · The aim of this paper is to present a procedure to extract, transform and integrate deep neural networks feature maps toward replacing the ...
Jan 11, 2024 · The aim of this paper is to present a procedure to extract, transform and integrate deep neural networks feature maps toward replacing the ...
The aim of this paper is to present a procedure to extract, transform and integrate deep neural networks feature maps toward replacing the brightness in a DVS ...
The aim of this paper is to present a procedure to extract, transform and integrate deep neural networks feature maps toward replacing the brightness in a ...
To solve this problem, researchers have sought two kinds of image features to achieve decoupling among the 6 DOFs, (i) Analytical function-based image features ...
DVS is known for its ability to achieve accurate positioning, thanks to the redundancy of information all without the necessity to rely on geometric features.
A Study on Learned Feature Maps Toward Direct Visual Servoing. 直接視覚サーボのための学習特徴マップに関する研究【JST・京大機械翻訳】. Publisher site Copy ...
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In this paper, we address the problem of realizing visual servoing tasks on complex objects in real environments.
“A study on learned feature maps toward direct visual servoing,” in 16th IEEE/SICE international symposium on system integration (SII), 08-11 January 2024 ...