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Identification of types of obstacles for mobile robots

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Abstract

For service robots coexisting with humans, both safety and working efficiency are very important. In order for robots to avoid collisions with surrounding obstacles, the robots must recognize obstacles around them. In dynamic environments, not only currently moving obstacles but also movable obstacles should be recognized. In this paper, three types of obstacles, such as stationary, movable and moving, are defined, and a method to identify the type of obstacles is proposed. The experiments using a mobile robot were conducted to evaluate the usefulness of the method.

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References

  1. Nair D, Aggarwal JK (1998) Moving obstacle detection from a navigating robot. IEEE Trans Robotics Autom 14(3): 404–416

    Article  Google Scholar 

  2. Kluge B, Köhler C, Prassler E (2001) Fast and robust tracking of multiple moving objects with a laser range finder. In: Proceedings of the IEEE international conference on robotics and automation, pp 1683–1688

  3. Montemerlo M, Thrun S, Whitaker W (2002) Conditional particle filters for simultaneous mobile robot localization and people- tracking. In: Proceedings of the IEEE international conference on robotics and automation, pp 695–701

  4. Kise M, Zhang Q, Noguchi N (2005) An obstacle identification algorithm for a laser range finder-based obstacle detector. Trans Am Soc Agric Eng 48(3): 1269–1278

    Google Scholar 

  5. Bellotto N, Hu H (2007) People tracking and identification with a mobile robot. In: Proceedings of the IEEE international conference on mechatronics and automation, pp 3565–3570

  6. Wang C-C, Thorpe C (2002) Simultaneous localization and mapping with detection and tracking of moving objects. In: Proceedings of the IEEE international conference on robotics and automation, pp 2918–2924

  7. Hähnel D, Triebel R, Burgard W, Thrun S (2003) Map building with mobile robots in dynamic environments. In: Proceedings of the IEEE international conference on robotics and automation, pp 1557–1562

  8. Wolf D, Sukhatme GS (2004) Online simultaneous localization and mapping in dynamic environments. In: Proceedings of the IEEE international conference on robotics and automation, pp 1301–1307

  9. Laugier C, Vasquez D, Yguei M, Fraichard T, Aycard O (2008) Geometric and Bayesian models for safe navigation in dynamic environments. Intell Service Robotics 1: 51–72

    Article  Google Scholar 

  10. Besl PJ, McKay ND (1992) A method for registration of 3-D shapes. IEEE Trans Pattern Anal Mach Intell 14(2): 239–256

    Article  Google Scholar 

  11. Asama H, Sato M, Bogoni L, Kaetsu H, Matsumoto A, Endo I (1995) Development of an omni-directional mobile robot with 3 dof decoupling drive mechanism. In: Proceedings of the IEEE international conference on robotics and automation, pp 1925–1930

  12. Chung W, Kim S, Choi M, Choi J, Kim H, Moon C-b, Song J-B (2009) Safe navigation of a mobile robot considering visibility of environment. IEEE Trans Ind Electron 56(10): 3941–3950

    Article  Google Scholar 

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Correspondence to Yusuke Tamura.

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Tamura, Y., Murai, Y., Murakami, H. et al. Identification of types of obstacles for mobile robots. Intel Serv Robotics 4, 99–105 (2011). https://doi.org/10.1007/s11370-010-0073-4

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  • DOI: https://doi.org/10.1007/s11370-010-0073-4

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