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On Latencies and Noise Effects in Vision-Based Control of Mobile Robots

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Advances in Service and Industrial Robotics (RAAD 2017)

Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 49))

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Abstract

We study the effects of variable latencies and noise-effects in vision based navigation. Based on the observations, we adapt a new robust estimation solution that is simple to integrate into a path-following controller and shown to provide a smoothed, high-bandwidth feedback for real-time control of a mobile robot. The strong dependency of steering oscillations originating from the noises and inaccuracies of the robot’s pose estimates is highlighted. The system is capable of positioning the mobile manipulator’s gripper in the vicinity of a target only by navigation of its nonholonomic mobile base.

M.M. Aref—Laboratory of Automation and Hydraulics Engineering.

J. Vihonen—Laboratory of Signal Processing.

This work is supported by the Academy of Finland under the project “Integrated Multimodal Sensing of 3D Environment for Intelligent Manipulators,” grant 286260.

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Notes

  1. 1.

    http://robatronics.com/2017/01/10/vision-based-motion-control/.

  2. 2.

    https://wiki.gnome.org/action/show/Projects/Aravis.

  3. 3.

    http://virtual.vtt.fi/virtual/proj2/multimedia/.

References

  1. DeSouza GN, Kak AC (2002) Vision for mobile robot navigation: a survey. IEEE Trans Pattern Anal Mach Intell 24(2):237–267

    Article  Google Scholar 

  2. Bonin-Font F, Ortiz A, Oliver G (2008) Visual navigation for mobile robots: a survey. J Intell Rob Syst 53(3):263–296

    Article  Google Scholar 

  3. Dalgleish F, Tetlow S, Allwood R (2005) Vision-based navigation of unmanned underwater vehicles: a survey. Part 2: vision-based station-keeping and positioning. J Mar Des Oper 8:13–19

    Google Scholar 

  4. Cherubini A, Chaumette F (2013) Visual navigation of a mobile robot with laser-based collision avoidance. Int J Rob Res 32(2):189–205

    Article  Google Scholar 

  5. Mariottini GL, Oriolo G, Prattichizzo D (2007) Image-based visual servoing for nonholonomic mobile robots using epipolar geometry. IEEE Trans Robot 23(1):87–100

    Article  Google Scholar 

  6. Walter MR, Antone M, Chuangsuwanich E, Correa A, Davis R, Fletcher L, Frazzoli E, Friedman Y, Glass J, How JP et al (2015) A situationally aware voice-commandable robotic forklift working alongside people in unstructured outdoor environments. J Field Rob 32(4):590–628

    Article  Google Scholar 

  7. Durovic Z, Kovacevic B (1999) Command-induced vibration analysis using input shaping principles. IEEE Trans Autom Contr 44(6):1292–1296

    Article  Google Scholar 

  8. Simon D (2006) Optimal state estimation: Kalman, H infinity, and nonlinear approaches. Wiley, Hoboken

    Book  Google Scholar 

  9. Wang X, Cui N, Guo J (2010) Command-induced vibration analysis using input shaping principles. IET Radar Sonar Navig 4(1):134–141

    Article  Google Scholar 

  10. Aref MM, Ghabcheloo R, Mattila J (2014) A macro-micro controller for pallet picking by an articulated-frame-steering hydraulic mobile machine. In: IEEE international conference on robotics and automation (ICRA), Hong Kong, pp 6816–6822

    Google Scholar 

  11. Aref MM Ghabcheloo R, Kolu A, Mattila J (2016) A multistage controller with smooth switching for autonomous pallet picking. In: IEEE international conference on robotics and automation (ICRA), Stockholm, Sweden, pp 2535–2542

    Google Scholar 

  12. Oftadeh R, Ghabcheloo R, Mattila J (2015) A time-optimal bounded velocity path-following controller for generic wheeled mobile robots. In: IEEE international conference on robotics and automation (ICRA), pp 676–683

    Google Scholar 

  13. Aref MM, Ghabcheloo R, Kolu A, Mattila J (2017) Vision guided autonomous forklift. In: Advances in robot design and intelligent control proceedings of the 25th conference on robotics in Alpe-Adria-Danube region (RAAD). Advances in Intelligent Systems and Computing. Springer, pp 338–346

    Google Scholar 

  14. Brown RG, Hwang PYC (1997) Introduction to random signals and applied Kalman filtering. Wiley, New York

    MATH  Google Scholar 

  15. Won S-HP, Melek WW, Golnaraghi F (2010) A Kalman/particle filter-based position and orientation estimation method using a position sensor/inertial measurement unit hybrid system. IEEE Trans. Ind. Electron. 57(5):1787–1798

    Article  Google Scholar 

  16. Holland PW, Welsch RE (1977) Robust regression using iteratively reweighted least-squares. Comm. in Stat. A6:813–827

    Article  MATH  Google Scholar 

  17. Wojke N, Neuhaus F, Paulus D (2016) Localization and pose estimation of textureless objects for autonomous exploration missions. In: IEEE international conference on image processing (ICIP), pp 1304–1308

    Google Scholar 

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Correspondence to Mohammad M. Aref .

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Aref, M.M., Vihonen, J., Ghabcheloo, R., Mattila, J. (2018). On Latencies and Noise Effects in Vision-Based Control of Mobile Robots. In: Ferraresi, C., Quaglia, G. (eds) Advances in Service and Industrial Robotics. RAAD 2017. Mechanisms and Machine Science, vol 49. Springer, Cham. https://doi.org/10.1007/978-3-319-61276-8_22

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  • DOI: https://doi.org/10.1007/978-3-319-61276-8_22

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-61276-8

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