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B-Theta*: an Efficient Online Coverage Algorithm for Autonomous Cleaning Robots

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Abstract

We propose a novel approach to deal with the online complete-coverage task of cleaning robots in unknown workspaces with arbitrarily-shaped obstacles. Our approach is based on the boustrophedon motions, the boundary-following motions, and the Theta* algorithm known as B-Theta*. Under control of B-Theta*, the robot performs a single boustrophedon motion to cover an unvisited region. While performing the boustrophedon motion, if the robot encounters an obstacle with a boundary that has not yet been covered, it switches to the boundary mode to cover portions along the obstacle boundary, and then continues the boustrophedon motion until it detects an ending point. To move to an unvisited region, the robot detects backtracking points based on its accumulated knowledge, and applies an intelligent backtracking mechanism thanks to the proposed Theta* for multi-goals in order to reach the next starting point. Complete coverage is achieved when no starting point exists for a new boustrophedon motion. Computer simulations and experiments on real workspaces show that our proposed B-Theta* is efficient for the complete-coverage task of cleaning robots.

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References

  1. Acar, E.U., Choset, H., Rizzi, A.A., Atkar, P.N., Hull, D.: Morse decompositions for coverage tasks. Int. J. Robot. Res. 21(4), 331–344 (2002)

    Article  Google Scholar 

  2. Botea, A., Mller, M., Schaeffer, J.: Near optimal hierarchical path-finding. Journal of Game Development 1(1), 7–28 (2004)

    Google Scholar 

  3. Chibin, Z., Xingsong, W., Yong, D.: Complete coverage path planning based on ant colony algorithm. In: Proceedings of the 15Th International Conference on Mechatronics and Machine Vision in Practice, pp. 357–361. Auckland, New-Zealand (2008)

    Google Scholar 

  4. Choset, H.: Coverage of known spaces: the boustrophedon cellular decomposition. Auton. Robot. 9(1), 247–253 (2000)

    Article  Google Scholar 

  5. Choset, H.: Coverage for robotics - a survey of recent results. Ann. Math. Artif. Intell. 31(1–4), 113–126 (2001)

    Article  MATH  Google Scholar 

  6. Choset, H., Lynch, K.M., Hutchinson, S., Kantor, G.A., Burgard, W., Kavraki, L.E., Thrun, S.: Principles of Robot Motion: Theory, Algorithms, and Implementations. MIT Press, Boston (2005)

    MATH  Google Scholar 

  7. Choset, H., Pignon, P.: Coverage path planning: the boustrophedon cellular decomposition. In: Proceedings of the International Conference on Field and Service Robotics. Canberra, Australia (1997)

    Google Scholar 

  8. Daniel, K., Nash, A., Koenig, S.: Theta*: any-angle path planning on grids. J. Artif. Intell. Res. 39(1), 533–579 (2010)

    MathSciNet  MATH  Google Scholar 

  9. Dijkstra, E.W.: A note on two problems in connexion with graphs. Numer. Math. 1(1), 269–271 (1959)

    Article  MathSciNet  MATH  Google Scholar 

  10. Dlouhy, M., Brabec, F., Svestka, P.: A genetic approach to the cleaning path planning problem. In: Proceedings of the 16th European Workshop on Computational Geometry. Eilat, Israel (2000)

    Google Scholar 

  11. Dudek, G., Jenkin, M.: Computational Principles of Mobile Robotics, 2nd edn. Cambridge University (2010)

  12. Esposito, J.M., Barton, O., Koehler, J., Lim, D.: Matlab toolbox for the create robot (2011). www.usna.edu/Users/weapsys/esposito/roomba.matlab/

  13. Gabriely, Y., Rimon, E.: Spanning-tree based coverage of continuous areas by a mobile robot. Ann. Math. Artif. Intell. 31(4), 77–98 (2001)

    Article  MATH  Google Scholar 

  14. Gabriely, Y., Rimon, E.: Spiral-STC: an on-line coverage algorithm of grid environments by a mobile robot. In: Proceedings of the IEEE International Conference on Robotics and Automation, pp. 954–960, Washington, DC, USA (2002)

  15. Gonzalez, E., Alvarez, O., Diaz, Y., Parra, C., Bustacara, C.: BSA: a complete coverage algorithm. In: Proceedings of the IEEE International Conference on Robotics and Automation, pp. 2040–2044, Barcelona, Spain (2005)

  16. Gonzalez, E., Aristizbal, P.T., Alarcn, M.A.: Backtracking spiral algorithm: a mobile robot region filling strategy. In: Proceeding of the 2002 International Symposium on Robotics and Automation, pp. 261–266, Toluca, Mexico (2002)

  17. Hart, P.E., Nilsson, N.J., Raphael, B.: A formal basis for the heuristic determination of minimum cost paths. IEEE Transactions on Systems Science and Cybernetics 4(2), 100–107 (1968)

    Article  Google Scholar 

  18. Koenig, S., Liu, Y.: Terrain coverage with ant robots: a simulation study. In: Proceedings of the International Conference on Autonomous Agents, pp. 600–607, Montreal, Quebec, Canada (2001)

  19. Korf, R.E., Reid, M., Edelkamp, S.: Time complexity of iterative-deepening-A*. Artif. Intell. 129(1-2), 199–218 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  20. Latombe, J.C.: Robot Motion Planning. Kluwer Academic Publishers (1991)

  21. Luo, C., Yang, S.X.: A bioinspired neural network for real-time concurrent map building and complete coverage robot navigation in unknown environments. IEEE Trans. Neural Netw. 19(1), 1279–1298 (2008)

    Article  MathSciNet  Google Scholar 

  22. Mannadiar, R., Rekleitis, I.: Optimal coverage of a known arbitrary environment. In: Proceedings of the IEEE International Conference on Robotics and Automation, pp. 5525–5530, Anchorage, Alaska, USA (2010)

  23. Nash, A., Daniel, K., Koenig, S., Felner, A.: Theta*: any-angle path planning on grids. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 1177–1183. Vancouver, Canada (2007)

    Google Scholar 

  24. Oh, J.S., Choi, Y.H., Park, J.B., Zheng, Y.F.: Complete coverage navigation of cleaning robots using triangular-cell-based map. IEEE Trans. Ind. Electron. 51(3), 718–726 (2004)

    Article  Google Scholar 

  25. Palleja, T., Tresanchez, M., Teixido, M., Palacin, J.: Modeling floor-cleaning coverage performances of some domestic mobile robots in a reduced scenario. Robot. Auton. Syst. 58(1), 37–45 (2010)

    Article  Google Scholar 

  26. Russel, S.J., Norvig, P.: Artificial Intelligence a Modern Approach, 2nd edn. Pearson Education (2003)

  27. Shivashankar, V., Jain, R., Kuter, U., Nau, D.: Real-time planning for covering an initially-unknown spatial environment. In: Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, pp. 63–68, Florida, USA (2011)

  28. The iRobot Create Team: iRobot create owners guide (2006). www.irobot.com/hrd_right_rail/create_rr/create_fam/createFam_rr_manuals.html

  29. Viet, H.H., Dang, V.H., Laskar, M.N.U., Chung, T.: BA*: an online complete coverage algorithm for cleaning robots. Appl. Intell. (2012). doi:10.1007/s10489-012-0406-4

  30. Wong, S.: Qualitative Topological Coverage of Unknown Environments by Mobile Robots. PhD dissertation, the University of Auckland, New Zealand (2006)

  31. Wong, S.C., MacDonald, B.A.: A topological coverage algorithm for mobile robots. In: Proceedings of the International Conference on Intelligent Robots and Systems, pp. 1685–1690 (2003)

    Google Scholar 

  32. Yang, S.X., Luo, C.: A neural network approach to complete coverage path planning. IEEE Trans. Syst. Man Cybern. B Cybern. 34(1), 718–724 (2004)

    Article  Google Scholar 

  33. Yap, P.: Grid-based path-finding. Lecture Notes in Artificial Intelligence 2338(1), 44–55 (2002)

    MATH  Google Scholar 

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Authors and Affiliations

  1. Department of Computer Engineering, Kyung Hee University, 1732, Deogyeong-daero, Giheung-gu, Yongin-si, Gyeonggi-do, 446-701, Korea

    SeungYoon Choi & TaeChoong Chung

  2. Humanitas College, Kyung Hee University, 1732, Deogyeong-daero, Giheung-gu, Yongin-si, Gyeonggi-do, 446-701, Korea

    SeungGwan Lee

  3. Department of Information Technology, Vinh University, 182-Le Duan, Vinh City, Nghe An, Vietnam

    Hoang Huu Viet

Authors
  1. SeungYoon Choi
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  2. SeungGwan Lee
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  3. Hoang Huu Viet
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  4. TaeChoong Chung
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Correspondence to Hoang Huu Viet or TaeChoong Chung.

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Choi, S., Lee, S., Viet, H.H. et al. B-Theta*: an Efficient Online Coverage Algorithm for Autonomous Cleaning Robots. J Intell Robot Syst 87, 265–290 (2017). https://doi.org/10.1007/s10846-017-0485-x

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  • DOI: https://doi.org/10.1007/s10846-017-0485-x

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