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Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations., , , , , and . ICRA, page 1-5. IEEE, (2018)Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation., , and . CVPR Workshops, page 2038-2041. Computer Vision Foundation / IEEE Computer Society, (2018)Camera-to-Robot Pose Estimation from a Single Image., , , , , , , and . CoRR, (2019)Directional Semantic Grasping of Real-World Objects: From Simulation to Reality., , , , , , , , and . CoRR, (2019)Toward Sim-to-Real Directional Semantic Grasping., , , , , , , , and . ICRA, page 7247-7253. IEEE, (2020)Camera-to-Robot Pose Estimation from a Single Image., , , , , , , and . ICRA, page 9426-9432. IEEE, (2020)Managing Personal Digital Resources., and . DEXA Workshops, page 226-230. IEEE Computer Society, (2004)6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmark., , , , , , and . IROS, page 13081-13088. IEEE, (2022)Video object segmentation using phase-base detection of moving object boundaries.. University of New South Wales, Canberra, Australia, (2005)base-search.net (ftunswworks:oai:unsworks.unsw.edu.au:1959.4/38705).