CASIA OpenIR

浏览/检索结果: 共4条,第1-4条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
Learning-Based Slip Detection for Dexterous Manipulation Using GelStereo Sensing 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 10
作者:  Cui, Shaowei;  Wang, Shuo;  Wang, Rui;  Zhang, Shaolin;  Zhang, Chaofan
收藏  |  浏览/下载:131/0  |  提交时间:2023/11/17
Sensors  Task analysis  Three-dimensional displays  Point cloud compression  Feature extraction  Adaptive control  Grasping  Dexterous manipulation  slip detection  slip feedback control  tactile sensing  
Neuro-Optimal Trajectory Tracking With Value Iteration of Discrete-Time Nonlinear Dynamics 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:  Wang, Ding;  Ha, Mingming;  Cheng, Long
收藏  |  浏览/下载:294/0  |  提交时间:2022/01/27
Trajectory  Heuristic algorithms  Convergence  Trajectory tracking  Stability criteria  Optimal control  Dynamic programming  Adaptive critic design  discrete-time nonlinear plants  neuro-optimal trajectory tracking  uniformly ultimately bounded stability  value iteration  
A Greedy Assist-as-Needed Controller for Upper Limb Rehabilitation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 11, 页码: 3433-3443
作者:  Luo, Lincong;  Peng, Liang;  Wang, Chen;  Hou, Zeng-Guang
收藏  |  浏览/下载:243/0  |  提交时间:2020/03/30
Medical treatment  Training  Task analysis  Robot sensing systems  Impedance  Trajectory  Assist as needed (AAN)  challenge level  Gaussian radial basis function (RBF) network  motor capability  rehabilitation robot  upper limb  
Variational Bayesian Learning for Dirichlet Process Mixture of Inverted Dirichlet Distributions in Non-Gaussian Image Feature Modeling 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 2, 页码: 449-463
作者:  Ma, Zhanyu;  Lai, Yuping;  Kleijn, W. Bastiaan;  Song, Yi-Zhe;  Wang, Liang;  Guo, Jun
收藏  |  浏览/下载:382/0  |  提交时间:2019/07/12
Bayesian estimation  computer vision  Dirichlet process (DP) mixture  inverted Dirichlet distribution  variational learning