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

, , and . ICONIP (3), volume 9949 of Lecture Notes in Computer Science, page 581-590. (2016)

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Predictive visual recognition of types of structural corridor landmarks for mobile robot navigation., and . RO-MAN, page 391-396. IEEE, (2010)Oriented edge-selective band-pass filtering., and . Inf. Sci., (2014)Lateral and feedback schemes for the inhibition of false-positive responses in edge orientation channels., and . ICRA, page 5377-5383. IEEE, (2012)Visual Recognition of Types of Corridor Segments for Mobile Robots., and . Adv. Robotics, 26 (16): 1915-1937 (2012)Tracking human-like natural motion by combining two deep recurrent neural networks with Kalman filter., , and . Intelligent Service Robotics, 11 (4): 313-322 (2018)Object Singulation by Nonlinear Pushing for Robotic Grasping., , , and . IROS, page 2402-2407. IEEE, (2019)Visual Recognition of Types of Structural Corridor Landmarks Using Vanishing Points Detection and Hidden Markov Models., , and . ICPR, page 3292-3295. IEEE Computer Society, (2010)DeepNAP: Deep neural anomaly pre-detection in a semiconductor fab., , , , and . Inf. Sci., (2018)Empirical Evaluation on Deep Learning of Depth Feature for Human Activity Recognition., , and . ICONIP (3), volume 8228 of Lecture Notes in Computer Science, page 576-583. Springer, (2013)Bayesian robot localization with action-associated sparse appearance-based map in a dynamic indoor environment., , and . IROS, page 3459-3466. IEEE, (2009)