[1] 何玉庆,赵忆文,韩建达,等.与人共融——机器人技术发展的新趋势[J].机器人产业,2015(5):74-80.HU Y Q,ZHAO Y W,HAN J D,et al.Coincidence with people-New trend of robot technology development[J].Robot Industry Forum,2015(5):74-80(in Chinese).
[2] 张含阳.人机协作:下一代机器人的必然属性[J].机器人产业,2016(3):37-45.ZHANG H Y.Human-robot collaboration:The inevitable property of the next generation robot[J].Robot Industry Forum,2016(3):37-45(in Chinese).
[3] 邹方.人机协作标准及应用动态研究[J].航空制造技术,2016,59(23):58-63.ZOU F.Standard for human-robot collaboration and its application trend[J].Aeronautical Manufacturing Technology,2016,59(23):58-63(in Chinese).
[4] LIU H,WANG L.Human motion prediction for human-robot collaboration[J].Journal of Manufacturing Systems,2017,44:287-294.
[5] PÉREZ-D'ARPINO C,SHAH J A.Fast target prediction of human reaching motion for cooperative human-robot manipulation tasks using time series classification[C]//IEEE International Conference on Robotics and Automation.Piscataway,NJ:IEEE Press,2015:6175-6182.
[6] HAWKINS K P,VO N,BANSAL S,et al.Probabilistic human action prediction and wait-sensitive planning for responsive human-robot collaboration[C]//IEEE-RAS International Conference on Humanoid Robots.Piscataway,NJ:IEEE Press,2013:499-506.
[7] NIKOLAIDIS S,SHAH J.Human-robot cross-training:Computational formulation,modeling and evaluation of a human team training strategy[C]//8th ACM/IEEE International Conference on Human-Robot Interaction (HRI).Piscataway,NJ:IEEE Press,2013:33-40.
[8] DING H,SCHIPPER M,MATTHIAS B.Collaborative behavior design of industrial robots for multiple human-robot collaboration[C]//International Symposium on Robotics.Piscataway,NJ:IEEE Press,2014:1-6.
[9] 李瑞峰,王亮亮,王珂.人体动作行为识别研究综述[J].模式识别与人工智能,2014,27(1):35-48.LI R F,WANG L L,WANG K.A survey of human body action recognition[J].Pattern Recognition and Artificial Intelligence,2014,27(1):35-48(in Chinese).
[10] 朱煜,赵江坤,王逸宁,等.基于深度学习的人体行为识别算法综述[J].自动化学报,2016,42(6):848-857.ZHU Y,ZHAO J K,WANG Y N,et al.A review of human action recognition based on deep learning[J].Acta Automatica Sinica,2016,42(6):848-857(in Chinese).
[11] BORGES P V K,CONCI N,CAVALLARO A.Video-based human behavior understanding:A survey[J].IEEE Transactions on Circuits & Systems for Video Technology,2013,23(11):1993-2008.
[12] VISHWAKARMA S,AGRAWAL A.A survey on activity recognition and behavior understanding in video surveillance[J].Visual Computer,2013,29(10):983-1009.
[13] MAINPRICE J,HAYNE R,BERENSON D.Goal set inverse optimal control and iterative replanning for predicting human reaching motions in shared workspaces[J].IEEE Transactions on Robotics,2016,32(4):897-908.
[14] KALAKRISHNAN M,CHITTA S,THEODOROU E,et al.STOMP:Stochastic trajectory optimization for motion planning[C]//IEEE International Conference on Robotics and Automation.Piscataway,NJ:IEEE Press,2011:4569-4574.
[15] MAINPRICE J,BERENSON D.Human-robot collaborative manipulation planning using early prediction of human motion[C]//IEEE/RSJ International Conference on Intelligent Robots and Systems.Piscataway,NJ:IEEE Press,2013:299-306.
[16] JOSLIN C,EL-SAWAH A,CHEN Q,et al.Dynamic gesture recognition[C]//2005 IEEE Instrumentation and Measurement Technology Conference.Piscataway,NJ:IEEE Press,2006:1706-1711.
[17] GEHRIG D,KUEHNE H,WOERNER A,et al.HMM-based human motion recognition with optical flow data[C]//9th IEEE-RAS International Conference on Humanoid Robots.Piscataway,NJ:IEEE Press,2010:425-430.
[18] HÜSKEN M,STAGGE P.Recurrent neural networks for time series classification[J].Neurocomputing,2003,50:223-235.
[19] LIPTON Z C,BERKOWITZ J,ELKAN C.A critical review of recurrent neural networks for sequence learning[EB/OL].(2015-10-17)[2018-05-04].https://arxiv.org/abs/1506.00019.
[20] ESCHRODT F,BUTZ M V.Just imagine! learning to emulate and infer actions with a stochastic generative architecture[J].Frontiers in Robotics and AI,2016,3:5
[21] BUTEPAGE J,BLACK M J,KRAGIC D,et al.Deep representation learning for human motion prediction and classification[C]//IEEE Conference on Computer Vision and Pattern Recognition(CVPR).Piscataway,NJ:IEEE Press,2017:1591-1599.
[22] HOCHREITER S,BENGIO Y,FRASCONI P,et al.Gradient flow in recurrent nets:The difficulty of learning long-term dependencies[M]//KREMER S C,KOLEN J F.A field guide to dynamical recurrent networks.Piscataway,NJ:IEEE Press,2001:237-243.
[23] HOCHREITER S,SCHMIDHUBER J.Long short-term memory[J].Neural Computation,1997,9(8):1735-1780.
[24] SAK H,SENIOR A,BEAUFAYS F.Long short-term memory based recurrent neural network architectures for large vocabulary speech recognition[C]//15th Annual Conference of the International Speech Communication Association. Baixas:ISCA,2014:338-342.
[25] DU Y,WANG W,WANG L.Hierarchical recurrent neural network for skeleton based action recognition[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Piscataway,NJ:IEEE Press,2015:1110-1118.
[26] SRIVASTAVA N,MANSIMOV E,SALAKHUTDINOV R.Unsupervised learning of video representations using LSTMs[C]//International Conference on International Conference on Machine Learning,2015:843-852.
[27] MA X L,TAO Z M,WANG Y H,et al.Long short-term memory neural network for traffic speed prediction using remote microwave sensor data[J].Transportation Research Part C,2015,54:187-197.
[28] GRAVES A,SCHMIDHUBER J.Framewise phoneme classification with bidirectional LSTM and other neural network architectures[J].Neural Networks,2005,18(5):602-610.
[29] BACCOUCHE M,MAMALET F,WOLF C,et al.Sequential deep learning for human action recognition[C]//International Conference on Human Behavior Understanding.Berlin:Springer-Verlag,2011:29-39.
[30] GRAVES A,MOHAMED A R,HINTON G.Speech recognition with deep recurrent neural networks[C]//2013 IEEE International Conference on Acoustics,Speech and Signal Processing.Piscataway,NJ:IEEE Press,2013:6645-6649.
[31] AMARI S I.Backpropagation and stochastic gradient descent method[J].Neurocomputing,1993,5(4-5):185-196.
[32] DUCHI J,HAZAN E,SINGER Y.Adaptive subgradient methods for online learning and stochastic optimization[J].Journal of Machine Learning Research,2011,12(7):257-269.
[33] YEUNG S,RUSSAKOVSKY O,JIN N,et al.Every moment counts:Dense detailed labeling of actions in complex videos[J].International Journal of Computer Vision,2018,126(2-4):375-389.
[34] KINGMA D P,BA J.Adam:A method for stochastic optimization[C]//3rd International Conference for Learning Representations,2015.
[35] BERNDT D J,CLIFFORD J.Using dynamic time warping to find patterns in time series:WS-94-03[R].Palo Alto:AAAI,1994:359-370.
[36] HOWARD A G.Some improvements on deep convolutional neural network based image classification[EB/OL].(2013-12-19)[2018-05-04].http://arxiv.org/abs.1312.5402. |