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Neural Network-Based Self-tuning Kinematic Control and Dynamic Compensation for Mobile Robots

  • Published:2022-07-14 Issue: Volume: Page:101-120
  • ISSN:2195-4356
  • Container-title:Lecture Notes in Mechanical Engineering
  • language:
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Author:

Recalde Luis F.ORCID,Guevara Bryan S.ORCID,Zea Danny J.ORCID,Andaluz Víctor H.ORCID

Publisher

Springer Nature Singapore

Reference20 articles.

1. Andaluz GM, Andaluz VH, Terán HC, Arteaga O, Chicaiza FA, Varela J, Ortiz JS, Pérez F, Rivas D, Sánchez JS, Canseco P (2016) Modeling dynamic of the human-wheelchair system applied to NMPC. In: Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics). LNCS, vol 9835. Springer, pp 179–190. https://doi.org/10.1007/978-3-319-43518-3_18

2. Andaluz V, Roberti F, Carelli R (2010) Robust control with redundancy resolution and dynamic compensation for mobile manipulators. In: Proceedings of the IEEE international conference on industrial technology, pp 1469–1474. https://doi.org/10.1109/ICIT.2010.5472488

3. Andaluz VH, Canseco P, Varela Aldas J, Ortiz JS, Pérez MG, Roberti F, Carelli R (2014) Robust control with dynamic compensation for human-wheelchair system. Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics) 8917:376–389. https://doi.org/10.1007/978-3-319-13966-1_37

4. Bugeja MK, Fabri SG (2007) Dual adaptive control for trajectory tracking of mobile robots. In: Proceedings - IEEE international conference on robotics and automation, pp 2215–2220. https://doi.org/10.1109/ROBOT.2007.363649

5. De La Cruz C, Carelli R (2008) Dynamic model based formation control and obstacle avoidance of multi-robot systems. Robotica 26(3):345–356. https://doi.org/10.1017/S0263574707004092, https://www.cambridge.org/core/product/identifier/S0263574707004092/type/journal_article

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