Multimodal human hand motion sensing and analysis—A review
Y Xue, Z Ju, K Xiang, J Chen… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Human hand motion (HHM) analysis is an essential research topic in recent applications,
especially for dexterous robot hand manipulation learning from human hand skills. It …
especially for dexterous robot hand manipulation learning from human hand skills. It …
Survey on fuzzy-logic-based guidance and control of marine surface vehicles and underwater vehicles
Fuzzy logic control, due to its simple control structure, easy and cost-effective design, has
been successfully employed to the application of guidance and control in robotic fields. This …
been successfully employed to the application of guidance and control in robotic fields. This …
Fuzzy clustering with a modified MRF energy function for change detection in synthetic aperture radar images
In this paper, we put forward a novel approach for change detection in synthetic aperture
radar (SAR) images. The approach classifies changed and unchanged regions by fuzzy c …
radar (SAR) images. The approach classifies changed and unchanged regions by fuzzy c …
Guidance-error-based robust fuzzy adaptive control for bottom following of a flight-style AUV with saturated actuator dynamics
This paper addresses the problem of robust bottom following control for a flight-style
autonomous underwater vehicle (AUV) subject to system uncertainties, actuator dynamics …
autonomous underwater vehicle (AUV) subject to system uncertainties, actuator dynamics …
Nonfragile distributed filtering for T–S fuzzy systems in sensor networks
This paper is concerned with the nonfragile distributed H∞ filtering problem for a class of
discrete-time Takagi-Sugeno (TS) systems in sensor networks. Additive filter gain …
discrete-time Takagi-Sugeno (TS) systems in sensor networks. Additive filter gain …
Biologically inspired motion modeling and neural control for robot learning from demonstrations
In this paper, we propose a biologically inspired framework for robot learning based on
demonstrations. The dynamic movement primitive (DMP), which is motivated by …
demonstrations. The dynamic movement primitive (DMP), which is motivated by …
Gesture recognition based on kinect and sEMG signal fusion
Y Sun, C Li, G Li, G Jiang, D Jiang, H Liu… - Mobile Networks and …, 2018 - Springer
A weighted fusion method of DS evidence theory in decision making is proposed to aim at
the problem of lacking in the distribution of trust, data processing and precision in DS …
the problem of lacking in the distribution of trust, data processing and precision in DS …
Nonlinear guidance and fuzzy control for three-dimensional path following of an underactuated autonomous underwater vehicle
This paper proposes a simplified nonlinear fuzzy controller integrating an improved three-
dimensional (3D) guidance law, in order to address the problem of path following for an …
dimensional (3D) guidance law, in order to address the problem of path following for an …
Gesture recognition based on an improved local sparse representation classification algorithm
Y He, G Li, Y Liao, Y Sun, J Kong, G Jiang, D Jiang… - Cluster …, 2019 - Springer
The sparse representation classification method has been widely concerned and studied in
pattern recognition because of its good recognition effect and classification performance …
pattern recognition because of its good recognition effect and classification performance …
Adaptive fuzzy trajectory tracking control of an under-actuated autonomous underwater vehicle subject to actuator saturation
This paper focuses on vertical-plane trajectory tracking of an under-actuated autonomous
underwater vehicle (AUV) subject to actuator saturation and external disturbances. A …
underwater vehicle (AUV) subject to actuator saturation and external disturbances. A …