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Building pixel classifiers using the interactive teacher/learner (ITL) system.

, and . WACV, page 252-253. IEEE Computer Society, (1998)

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Learning Abstract Classes using Deep Learning., , and . BICT, page 524-528. ICST/ACM, (2015)Learning Movement Assessment Primitives for Force Interaction Skills., , and . CoRR, (2018)Proceedings of the 37th Annual Workshop of the Austrian Association for Pattern Recognition (ÖAGM/AAPR), 2013, and . CoRR, (2013)It Gets Worse Before it Gets Better: Timing of Instructions in Close Human-Robot Collaboration., , , , , and . HRI (Companion), page 145-146. ACM, (2017)Learning Semantics of Gestural Instructions for Human-Robot Collaboration., , and . Frontiers Neurorobotics, (2018)Combining active learning and reactive control for robot grasping., , , and . Robotics Auton. Syst., 58 (9): 1105-1116 (2010)Multiview feature distributions for object detection and continuous pose estimation., and . Comput. Vis. Image Underst., (2014)Visual task outcome verification using deep learning., , and . IROS, page 4821-4827. IEEE, (2017)Closed-Loop Learning of Visual Control Policies., and . J. Artif. Intell. Res., (2007)DeepSym: Deep Symbol Generation and Rule Learning from Unsupervised Continuous Robot Interaction for Planning., , , , , , and . CoRR, (2020)