Multimodal Time Series Learning of Robots Based on Distributed and Integrated Modalities: Verification with a Simulator and Actual Robots
暂无分享,去创建一个
[1] P. Abbeel,et al. DayDreamer: World Models for Physical Robot Learning , 2022, CoRL.
[2] Chelsea Finn,et al. Play it by Ear: Learning Skills amidst Occlusion through Audio-Visual Imitation Learning , 2022, Robotics: Science and Systems.
[3] Gregory Dudek,et al. Visuotactile-RL: Learning Multimodal Manipulation Policies with Deep Reinforcement Learning , 2022, 2022 International Conference on Robotics and Automation (ICRA).
[4] M. Inaba,et al. Dynamic Cloth Manipulation Considering Variable Stiffness and Material Change Using Deep Predictive Model With Parametric Bias , 2022, Frontiers in Neurorobotics.
[5] Kenjiro Yamamoto,et al. Efficient multitask learning with an embodied predictive model for door opening and entry with whole-body control , 2022, Science Robotics.
[6] Shigeki Sugano,et al. Utilization of Image/Force/Tactile Sensor Data for Object-Shape-Oriented Manipulation: Wiping Objects With Turning Back Motions and Occlusion , 2022, IEEE Robotics and Automation Letters.
[7] Peter R. Florence,et al. Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning , 2022, 2022 International Conference on Robotics and Automation (ICRA).
[8] Hiroshi Ito,et al. Sensory-Motor Learning for Simultaneous Control of Motion and Force: Generating Rubbing Motion against Uneven Object , 2022, 2022 IEEE/SICE International Symposium on System Integration (SII).
[9] Kenjiro Yamamoto,et al. Contact-Rich Manipulation of a Flexible Object based on Deep Predictive Learning using Vision and Tactility , 2021, 2022 International Conference on Robotics and Automation (ICRA).
[10] Yasuo Kuniyoshi,et al. Transformer-based deep imitation learning for dual-arm robot manipulation , 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[11] Rutav Shah,et al. RRL: Resnet as representation for Reinforcement Learning , 2021, ICML.
[12] T. Ogata,et al. Spatial Attention Point Network for Deep-learning-based Robust Autonomous Robot Motion Generation , 2021, ArXiv.
[13] S. Sugano,et al. Wiping 3D-objects using Deep Learning Model based on Image/Force/Joint Information , 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[14] Tadashi Isa,et al. The somatosensory cortex receives information about motor output , 2019, Science Advances.
[15] Takamitsu Matsubara,et al. Deep reinforcement learning with smooth policy update: Application to robotic cloth manipulation , 2019, Robotics Auton. Syst..
[16] Tsuyoshi Adachi,et al. Imitation Learning for Object Manipulation Based on Position/Force Information Using Bilateral Control , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[17] David Picard,et al. 2D/3D Pose Estimation and Action Recognition Using Multitask Deep Learning , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[18] Jun Tani,et al. Seamless Integration and Coordination of Cognitive Skills in Humanoid Robots: A Deep Learning Approach , 2017, IEEE Transactions on Cognitive and Developmental Systems.
[19] Jan Peters,et al. Stable reinforcement learning with autoencoders for tactile and visual data , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[20] Sergey Levine,et al. Deep spatial autoencoders for visuomotor learning , 2015, 2016 IEEE International Conference on Robotics and Automation (ICRA).
[21] Sergey Levine,et al. End-to-End Training of Deep Visuomotor Policies , 2015, J. Mach. Learn. Res..
[22] Yoshua Bengio,et al. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling , 2014, ArXiv.
[23] Yuki Suga,et al. Multimodal integration learning of robot behavior using deep neural networks , 2014, Robotics Auton. Syst..
[24] Jun Tani,et al. Emergence of Functional Hierarchy in a Multiple Timescale Neural Network Model: A Humanoid Robot Experiment , 2008, PLoS Comput. Biol..
[25] S. Hochreiter,et al. Long Short-Term Memory , 1997, Neural Computation.
[26] L. Cohen,et al. ‘Gating’ of somatosensory evoked potentials begins before the onset of voluntary movement in man , 1985, Brain Research.
[27] T. Flash,et al. The coordination of arm movements: an experimentally confirmed mathematical model , 1985, The Journal of neuroscience : the official journal of the Society for Neuroscience.