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Predicting Multiple Pregrasping Poses by Combining Deep Convolutional Neural Networks with Mixture Density Networks.

, , и . ICONIP (3), том 9949 из Lecture Notes in Computer Science, стр. 581-590. (2016)

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Predictive visual recognition of types of structural corridor landmarks for mobile robot navigation., и . RO-MAN, стр. 391-396. IEEE, (2010)Oriented edge-selective band-pass filtering., и . Inf. Sci., (2014)Sim-to-Real Visual Grasping via State Representation Learning Based on Combining Pixel-Level and Feature-Level Domain Adaptation., , и . ICRA, стр. 6300-6307. IEEE, (2021)Lateral and feedback schemes for the inhibition of false-positive responses in edge orientation channels., и . ICRA, стр. 5377-5383. IEEE, (2012)Visual Recognition of Types of Corridor Segments for Mobile Robots., и . Adv. Robotics, 26 (16): 1915-1937 (2012)Integration of top-down and bottom-up visual processing using a recurrent convolutional-deconvolutional neural network for semantic segmentation., , и . Intelligent Service Robotics, 13 (1): 87-97 (2020)Bayesian robot localization with action-associated sparse appearance-based map in a dynamic indoor environment., , и . IROS, стр. 3459-3466. IEEE, (2009)DeepNAP: Deep neural anomaly pre-detection in a semiconductor fab., , , , и . Inf. Sci., (2018)Empirical Evaluation on Deep Learning of Depth Feature for Human Activity Recognition., , и . ICONIP (3), том 8228 из Lecture Notes in Computer Science, стр. 576-583. Springer, (2013)Object Singulation by Nonlinear Pushing for Robotic Grasping., , , и . IROS, стр. 2402-2407. IEEE, (2019)