Rüdiger Dillmann,et al. Teaching and learning of robot tasks via observation of human performance , 2004, Robotics Auton. Syst..
 Sergey Levine,et al. Unsupervised Perceptual Rewards for Imitation Learning , 2016, Robotics: Science and Systems.
 Honglak Lee,et al. Action-Conditional Video Prediction using Deep Networks in Atari Games , 2015, NIPS.
 Sergey Levine,et al. One-Shot Visual Imitation Learning via Meta-Learning , 2017, CoRL.
 Pierre-Yves Oudeyer,et al. Intrinsic Motivation Systems for Autonomous Mental Development , 2007, IEEE Transactions on Evolutionary Computation.
 Dean Pomerleau,et al. ALVINN: An Autonomous Land Vehicle in a Neural Network , 1988, NIPS.
 Michael I. Jordan,et al. Forward Models: Supervised Learning with a Distal Teacher , 1992, Cogn. Sci..
 Yi Li,et al. Robot Learning Manipulation Action Plans by "Watching" Unconstrained Videos from the World Wide Web , 2015, AAAI.
 Jitendra Malik,et al. Combining self-supervised learning and imitation for vision-based rope manipulation , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).
 Sergey Levine,et al. Time-Contrastive Networks: Self-Supervised Learning from Video , 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).
 Stefan Schaal,et al. Is imitation learning the route to humanoid robots? , 1999, Trends in Cognitive Sciences.
 Abhinav Gupta,et al. Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours , 2015, 2016 IEEE International Conference on Robotics and Automation (ICRA).
 Daan Wierstra,et al. Stochastic Backpropagation and Approximate Inference in Deep Generative Models , 2014, ICML.
 Martin A. Riedmiller,et al. Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images , 2015, NIPS.
 Alexei A. Efros,et al. Learning Dense Correspondence via 3D-Guided Cycle Consistency , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
 Sergey Levine,et al. Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection , 2016, Int. J. Robotics Res..
 Sergey Levine,et al. Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation , 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).
 Rahul Sukthankar,et al. Cognitive Mapping and Planning for Visual Navigation , 2017, International Journal of Computer Vision.
 William J. Wilson,et al. Relative end-effector control using Cartesian position based visual servoing , 1996, IEEE Trans. Robotics Autom..
 Sergey Levine,et al. Self-Supervised Visual Planning with Temporal Skip Connections , 2017, CoRL.
 Alexei A. Efros,et al. Curiosity-Driven Exploration by Self-Supervised Prediction , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
 Juan D. Tardós,et al. ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras , 2017, IEEE Transactions on Robotics.
 Martin A. Riedmiller,et al. Acquiring visual servoing reaching and grasping skills using neural reinforcement learning , 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).
 Éric Marchand,et al. Photometric visual servoing for omnidirectional cameras , 2013, Auton. Robots.
 Sergey Levine,et al. Learning Visual Servoing with Deep Features and Fitted Q-Iteration , 2017, ICLR.
 Masayuki Inaba,et al. Learning by watching: extracting reusable task knowledge from visual observation of human performance , 1994, IEEE Trans. Robotics Autom..
 Katsushi Ikeuchi,et al. Toward an assembly plan from observation. I. Task recognition with polyhedral objects , 1994, IEEE Trans. Robotics Autom..
 Anand Rangarajan,et al. A new point matching algorithm for non-rigid registration , 2003, Comput. Vis. Image Underst..
 Jitendra Malik,et al. Learning to Poke by Poking: Experiential Learning of Intuitive Physics , 2016, NIPS.
 Sergey Levine,et al. Learning Hand-Eye Coordination for Robotic Grasping with Large-Scale Data Collection , 2016, ISER.
 Pieter Abbeel,et al. Apprenticeship learning via inverse reinforcement learning , 2004, ICML.