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Published in 2022 at "Advanced Robotics"
DOI: 10.1080/01691864.2022.2136504
Abstract: ABSTRACT Deep convolutional networks have dominated advances in object detection and grasp-position estimation using computer vision. The data-collection process for these networks is, however, time-consuming and expensive. We propose an automatic data-collection method for object…
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Keywords:
detection grasp;
data collection;
object detection;
grasp position ... See more keywords
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0
Published in 2023 at "Frontiers in Computational Neuroscience"
DOI: 10.3389/fncom.2023.1110889
Abstract: Object detection and grasp detection are essential for unmanned systems working in cluttered real-world environments. Detecting grasp configurations for each object in the scene would enable reasoning manipulations. However, finding the relationships between objects and…
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Keywords:
detection grasp;
grasp;
detection;
object detection ... See more keywords