logo

SCIENCE CHINA Information Sciences, Volume 62, Issue 5: 050206(2019) https://doi.org/10.1007/s11432-018-9696-2

Composite following control for wheeled inverted pendulum vehicles based on human-robot interaction

More info
  • ReceivedAug 30, 2018
  • AcceptedNov 21, 2018
  • PublishedFeb 25, 2019

Abstract

There is no abstract available for this article.


Acknowledgment

This work was supported by National Natural Science Foundation of China (Grant Nos. 61573078, 61873047, 61773084) and Natural Science Foundation of Liaoning Province of China (Grant No. 20170540171).


Supplement

Figures S1 and S2.


References

[1] He W, Li Z, Chen C L P. A survey of human-centered intelligent robots: issues and challenges. IEEE/CAA J Autom Sin, 2017, 4: 602-609 CrossRef Google Scholar

[2] Ding L, Gao H, Deng Z. Experimental study and analysis on driving wheels' performance for planetary exploration rovers moving in deformable soil. J TerraMech, 2011, 48: 27-45 CrossRef Google Scholar

[3] Yang C, Ganesh G, Haddadin S. Human-Like Adaptation of Force and Impedance in Stable and Unstable Interactions. IEEE Trans Robot, 2011, 27: 918-930 CrossRef Google Scholar

[4] Fang H, Shang C, Chen J. An optimization-based shared control framework with applications in multi-robot systems. Sci China Inf Sci, 2018, 61: 014201 CrossRef Google Scholar

[5] Herrera D, Roberti F, Toibero M. Human interaction dynamics for its use in mobile robotics: Impedance control for leader-follower formation. IEEE/CAA J Autom Sin, 2017, 4: 696-703 CrossRef Google Scholar

[6] Huang J, Ri S, Liu L. Nonlinear Disturbance Observer-Based Dynamic Surface Control of Mobile Wheeled Inverted Pendulum. IEEE Trans Contr Syst Technol, 2015, 23: 2400-2407 CrossRef Google Scholar

[7] Yue M, An C, Du Y. Indirect adaptive fuzzy control for a nonholonomic/underactuated wheeled inverted pendulum vehicle based on a data-driven trajectory planner. Fuzzy Sets Syst, 2016, 290: 158-177 CrossRef Google Scholar

[8] Li Z, Huang B, Ye Z. Physical Human-Robot Interaction of a Robotic Exoskeleton By Admittance Control. IEEE Trans Ind Electron, 2018, 65: 9614-9624 CrossRef Google Scholar

[9] Wang L X. Stable adaptive fuzzy controllers with application to inverted pendulum tracking. IEEE Trans Syst Man Cybern B, 1996, 26: 677-691 CrossRef PubMed Google Scholar

Copyright 2020 Science China Press Co., Ltd. 《中国科学》杂志社有限责任公司 版权所有

京ICP备18024590号-1       京公网安备11010102003388号