Anticipating Many Futures: Online Human Motion Prediction and Generation for Human-Robot Interaction
暂无分享,去创建一个
[1] Julie A. Shah,et al. Fast target prediction of human reaching motion for cooperative human-robot manipulation tasks using time series classification , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[2] B. Schölkopf,et al. Modeling Human Motion Using Binary Latent Variables , 2007 .
[3] Zhengyou Zhang,et al. Microsoft Kinect Sensor and Its Effect , 2012, IEEE Multim..
[4] Jitendra Malik,et al. Recurrent Network Models for Human Dynamics , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[5] M. Candidi,et al. Kinematics fingerprints of leader and follower role-taking during cooperative joint actions , 2013, Experimental Brain Research.
[6] Martial Hebert,et al. An Uncertain Future: Forecasting from Static Images Using Variational Autoencoders , 2016, ECCV.
[7] Jan Peters,et al. Anticipative Interaction Primitives for Human-Robot Collaboration , 2016, AAAI Fall Symposia.
[8] Silvio Savarese,et al. Structural-RNN: Deep Learning on Spatio-Temporal Graphs , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Michael J. Black,et al. On Human Motion Prediction Using Recurrent Neural Networks , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Oliver Kroemer,et al. Interaction primitives for human-robot cooperation tasks , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[11] Dmitry Berenson,et al. A framework for unsupervised online human reaching motion recognition and early prediction , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[12] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[13] Siddhartha S. Srinivasa,et al. Legibility and predictability of robot motion , 2013, 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI).
[14] L. Wheaton,et al. I give you a cup, I get a cup: A kinematic study on social intention , 2014, Neuropsychologia.
[15] Danica Kragic,et al. Deep Representation Learning for Human Motion Prediction and Classification , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Daan Wierstra,et al. One-Shot Generalization in Deep Generative Models , 2016, ICML.
[17] Mitsuo Kawato,et al. MOSAIC Model for Sensorimotor Learning and Control , 2001, Neural Computation.
[18] Honglak Lee,et al. Learning Structured Output Representation using Deep Conditional Generative Models , 2015, NIPS.
[19] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[20] U. Castiello,et al. Does the intention to communicate affect action kinematics? , 2009, Consciousness and Cognition.
[21] Giovanni Pezzulo,et al. What should I do next? Using shared representations to solve interaction problems , 2011, Experimental Brain Research.
[22] Hema Swetha Koppula,et al. Anticipatory Planning for Human-Robot Teams , 2014, ISER.
[23] Sergey Levine,et al. Unsupervised Learning for Physical Interaction through Video Prediction , 2016, NIPS.
[24] Dmitry Berenson,et al. Human-robot collaborative manipulation planning using early prediction of human motion , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.