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DeepSym: Deep Symbol Generation and Rule Learning from Unsupervised Continuous Robot Interaction for Planning., , , , , , and . CoRR, (2020)Differentiable Forward Kinematics for TensorFlow 2., , and . CoRR, (2023)Probabilistic Object Models for Pose Estimation in 2D Images., and . DAGM-Symposium, volume 6835 of Lecture Notes in Computer Science, page 336-345. Springer, (2011)Grasp Learning by Sampling from Demonstration., and . CoRR, (2016)Can Computer Vision Problems Benefit from Structured Hierarchical Classification?, , , and . CAIP (2), volume 9257 of Lecture Notes in Computer Science, page 403-414. Springer, (2015)Unsupervised Learning of Visual Feature Hierarchies., and . MLDM, volume 3587 of Lecture Notes in Computer Science, page 243-252. Springer, (2005)General Object Tip Detection and Pose Estimation for Robot Manipulation., , and . ICVS, volume 9163 of Lecture Notes in Computer Science, page 364-374. Springer, (2015)Can computer vision problems benefit from structured hierarchical classification?, , and . Mach. Vis. Appl., 27 (8): 1299-1312 (2016)Visual task outcome verification using deep learning., , and . IROS, page 4821-4827. IEEE, (2017)It Gets Worse Before it Gets Better: Timing of Instructions in Close Human-Robot Collaboration., , , , , and . HRI (Companion), page 145-146. ACM, (2017)