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Reasoning with Grounded Self-Symbols for Human-Robot Interaction., , , , , , and . AAAI Fall Symposia, AAAI Press, (2016)A deep neural network approach to fusing vision and heteroscedastic motion estimates for low-SWaP robotic applications., , and . MFI, page 56-63. IEEE, (2017)From Robots to Reinforcement Learning., , , , and . ICTAI, page 540-545. IEEE Computer Society, (2013)Live and Learn, Ask and Tell: Agents over Tasks., , , , , , , , , and 3 other author(s). IWSDS, volume 714 of Lecture Notes in Electrical Engineering, page 343-345. Springer, (2019)Who's Talking? - Efference Copy and a Robot's Sense of Agency., , and . AAAI Fall Symposia, page 37-39. AAAI Press, (2015)Deep Modeling of Non-Gaussian Aleatoric Uncertainty., , , , , and . CoRR, (2024)An Embodied Multi-Sensor Fusion Approach to Visual Motion Estimation Using Unsupervised Deep Networks., , and . Sensors, 18 (5): 1427 (2018)DeepEfference: Learning to predict the sensory consequences of action through deep correspondence., , and . ICDL-EPIROB, page 311-317. IEEE, (2017)BooM-Vio: Bootstrapped Monocular Visual-Inertial Odometry with Absolute Trajectory Estimation through Unsupervised Deep Learning., , , and . ICAR, page 516-522. IEEE, (2019)Vision-Aided Absolute Trajectory Estimation Using an Unsupervised Deep Network with Online Error Correction., , and . IROS, page 2524-2531. IEEE, (2018)