All Outputs (32)

Asymmetric bounded neural control for an uncertain robot by state feedback and output feedback (2019)
Journal Article
Kong, L., He, W., Dong, Y., Cheng, L., Yang, C., & Li, Z. (2021). Asymmetric bounded neural control for an uncertain robot by state feedback and output feedback. IEEE Transactions on Systems Man and Cybernetics: Systems, 51(3), 1735-1746. https://doi.org/10.1109/TSMC.2019.2901277

In this paper, an adaptive neural bounded control scheme is proposed for an n-link rigid robotic manipulator with unknown dynamics. With the combination of the neural approximation and backstepping technique, an adaptive neural network control policy... Read More about Asymmetric bounded neural control for an uncertain robot by state feedback and output feedback.

A task learning mechanism for the telerobots (2019)
Journal Article
Luo, J., Yang, C., Li, Q., & Wang, M. (2019). A task learning mechanism for the telerobots. International Journal of Humanoid Robotics, 16(2), 1950009. https://doi.org/10.1142/S0219843619500099

Telerobotic systems have attracted growing attention because of their superiority in the dangerous or unknown interaction tasks. It is very challengeable to exploit such systems to implement complex tasks in an autonomous way. In this paper, we propo... Read More about A task learning mechanism for the telerobots.

Efficient 3D object recognition via geometric information preservation (2019)
Journal Article
Liu, H., Cong, Y., Yang, C., & Tang, Y. (2019). Efficient 3D object recognition via geometric information preservation. Pattern Recognition, 92, 135-145. https://doi.org/10.1016/j.patcog.2019.03.025

© 2019 Elsevier Ltd Accurate 3D object recognition and 6-DOF pose estimation have been pervasively applied to a variety of applications, such as unmanned warehouse, cooperative robots, and manufacturing industry. How to extract a robust and represent... Read More about Efficient 3D object recognition via geometric information preservation.

Adaptive fuzzy control for coordinated multiple robots with constraint using impedance learning (2019)
Journal Article
Kong, L., He, W., Yang, C., Li, Z., & Sun, C. (2019). Adaptive fuzzy control for coordinated multiple robots with constraint using impedance learning. IEEE Transactions on Cybernetics, 49(8), 3052-3063. https://doi.org/10.1109/TCYB.2018.2838573

In this paper, we investigate fuzzy neural network (FNN) control using impedance learning for coordinated multiple constrained robots carrying a common object in the presence of the unknown robotic dynamics and the unknown environment with which the... Read More about Adaptive fuzzy control for coordinated multiple robots with constraint using impedance learning.

Admittance-based adaptive cooperative control for multiple manipulators with output constraints (2019)
Journal Article
Li, Y., Yang, C., Yan, W., Cui, R., & Annamalai, A. (2019). Admittance-based adaptive cooperative control for multiple manipulators with output constraints. IEEE Transactions on Neural Networks and Learning Systems, 30(12), 3621-3632. https://doi.org/10.1109/TNNLS.2019.2897847

This paper proposes a novel adaptive control methodology based on the admittance model for multiple manipulators transporting a rigid object cooperatively along a predefined desired trajectory. First, an admittance model is creatively applied to gene... Read More about Admittance-based adaptive cooperative control for multiple manipulators with output constraints.

Adaptive fuzzy Gaussian mixture models for shape approximation in Robot Grasping (2019)
Journal Article
Lin, H., Zhang, T., Chen, Z., Song, H., & Yang, C. (2019). Adaptive fuzzy Gaussian mixture models for shape approximation in Robot Grasping. International Journal of Fuzzy Systems, 21(4), 1026-1037. https://doi.org/10.1007/s40815-018-00604-8

Robotic grasping has always been a challenging task for both service and industrial robots. The ability of grasp planning for novel objects is necessary for a robot to autonomously perform grasps under unknown environments. In this work, we consider... Read More about Adaptive fuzzy Gaussian mixture models for shape approximation in Robot Grasping.

Improved human-robot collaborative control of redundant robot for teleoperated minimally invasive surgery (2019)
Journal Article
Su, H., Yang, C., Ferrigno, G., & De Momi, E. (2019). Improved human-robot collaborative control of redundant robot for teleoperated minimally invasive surgery. IEEE Robotics and Automation Letters, 4(2), 1447-1453. https://doi.org/10.1109/LRA.2019.2897145

© 2016 IEEE. An improved human-robot collaborative control scheme is proposed in a teleoperated minimally invasive surgery scenario, based on a hierarchical operational space formulation of a seven-degree-of-freedom redundant robot. Redundancy is exp... Read More about Improved human-robot collaborative control of redundant robot for teleoperated minimally invasive surgery.

An improved adaptive online neural control for robot manipulator systems using integral Barrier Lyapunov functions (2019)
Journal Article
Xia, J., Zhang, Y., Yang, C., Wang, M., & Annamalai, A. (2019). An improved adaptive online neural control for robot manipulator systems using integral Barrier Lyapunov functions. International Journal of Systems Science, 50(3), 638-651. https://doi.org/10.1080/00207721.2019.1567863

Conventional Neural Network (NN) control for robots uses radial basis function (RBF) and for n-link robot with online control, the number of nodes and weighting matrix increases exponentially, which requires a number of calculations to be performed w... Read More about An improved adaptive online neural control for robot manipulator systems using integral Barrier Lyapunov functions.

Enhanced teleoperation performance using hybrid control and virtual fixture (2019)
Journal Article
Luo, J., Yang, C., Wang, N., & Wang, M. (2019). Enhanced teleoperation performance using hybrid control and virtual fixture. International Journal of Systems Science, 50(3), 451-462. https://doi.org/10.1080/00207721.2018.1562128

To develop secure, natural and effective teleoperation, the perception of the slave plays a key role for the interaction of a human operator with the environment. By sensing slave information, the human operator can choose the correct operation in a... Read More about Enhanced teleoperation performance using hybrid control and virtual fixture.

Encoding Multiple Sensor Data for Robotic Learning Skills from Multimodal Demonstration (2019)
Journal Article
Zeng, C., Yang, C., Zhong, J., & Zhang, J. (2019). Encoding Multiple Sensor Data for Robotic Learning Skills from Multimodal Demonstration. IEEE Access, 7, 145604-145613. https://doi.org/10.1109/ACCESS.2019.2945484

© 2013 IEEE. Learning a task such as pushing something, where the constraints of both position and force have to be satisfied, is usually difficult for a collaborative robot. In this work, we propose a multimodal teaching-by-demonstration system whic... Read More about Encoding Multiple Sensor Data for Robotic Learning Skills from Multimodal Demonstration.

A Wave Variable Approach with Multiple Channel Architecture for Teleoperated System (2019)
Journal Article
Luo, J., Liu, C., Wang, N., & Yang, C. (2019). A Wave Variable Approach with Multiple Channel Architecture for Teleoperated System. IEEE Access, 7, 143912-143920. https://doi.org/10.1109/ACCESS.2019.2945674

© 2013 IEEE. Performance of teleoperation can be greatly influenced by time delay in the process of tele-manipulation with respect to accuracy and transparency. Wave variable is an effective algorithm to achieve a good stable capability. However, som... Read More about A Wave Variable Approach with Multiple Channel Architecture for Teleoperated System.

Estimation of EMG-Based force using a neural-network-based approach (2019)
Journal Article
Luo, J., Liu, C., & Yang, C. (2019). Estimation of EMG-Based force using a neural-network-based approach. IEEE Access, 7, 64856-64865. https://doi.org/10.1109/ACCESS.2019.2917300

© 2013 IEEE. The dynamics of human arms has a high impact on the humans' activities in daily life, especially when a human operates a tool such as interactions with a robot with the need for high dexterity. The dexterity of human arms depends largely... Read More about Estimation of EMG-Based force using a neural-network-based approach.