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Xinbo Yu
Researcher at University of Science and Technology Beijing
Publications - 31
Citations - 635
Xinbo Yu is an academic researcher from University of Science and Technology Beijing. The author has contributed to research in topics: Computer science & Artificial neural network. The author has an hindex of 6, co-authored 18 publications receiving 177 citations.
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Journal ArticleDOI
Admittance-Based Controller Design for Physical Human–Robot Interaction in the Constrained Task Space
TL;DR: It is proved that all states of the closed-loop system are semiglobally uniformly ultimately bounded (SGUUB) by utilizing the Lyapunov stability principles.
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Adaptive Fuzzy Full-State and Output-Feedback Control for Uncertain Robots With Output Constraint
TL;DR: An adaptive fuzzy full-state feedback control scheme to enhance tracking accuracy in a robotic manipulator with uncertainties, and Tangent-type barrier Lyapunov function is used for the controller design with output constraint to ensure stability.
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Human-Robot Co-Carrying Using Visual and Force Sensing
TL;DR: A hybrid framework using visual and force sensing for human-robot co-carrying tasks yields a stable and efficient interaction behavior between human and robot, decreases human control effort and avoids interference to human during the interaction.
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Bayesian Estimation of Human Impedance and Motion Intention for Human–Robot Collaboration
TL;DR: Combining with the prior knowledge of human stiffness, estimated stiffness obeying Gaussian distribution is obtained by Bayesian estimation, and human motion intention can be also estimated.
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Adaptive NN impedance control for an SEA-driven robot
TL;DR: Simulations show the proposed method can ensure that both the accuracy and safety can be achieved, and an online adaptive law to update NN weights and a complete framework about adaptive impedance control design are proposed.