In this paper we provide a progress report of the LAAS-CNRS project of autonomous blimp robot development, in the context of field robotics. Hardware developments aimed at designing a generic and versatile experimental platform are first presented. On this base, the flight control and terrain mapping issues, which constitute the main thrust of the research work, are presented in two parts. The first part, devoted to the automatic control study, is based on a rigorous modeling of the airship dynamics. Considering the decoupling of the lateral and longitudinal dynamics, several flight phases are identified for which appropriate control strategies are proposed. The description focuses on the lateral steady navigation. In the second part of the paper, we present work on terrain mapping with lowaltitude stereovision. A simultaneous localization and map building approach based on an extended Kalman filter is depicted, with details on the identification of the various errors involved in the process. Experimental results show that positioning in the three-dimensional space with a centimeter accuracy can be achieved, thus allowing the possibility to build high-resolution digital elevation maps.
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References
1.
AIAA. 2001. Proceedings of the 14th Lighter-Than-Air Convention and Exhibition, Akron, OH.
2.
Airship Association. 2002. Proceedings of the 4th International Airship Convention and Exhibition, Cambridge, UK.
3.
Alami, R., Chatila, R., Fleury, S., Ghallab, M., and Ingrand, F. 1998. An architecture for autonomy. Special Issue on Integrated Architectures for Robot Control and Programming , International Journal of Robotics Research17(4): 315– 337 .
4.
Azinheira, J. R., de Paiva, E., Ramos, J., Bueno, S. S., Bergerman, M., and Varella Gomes, S. B. 2001. Extended dynamic model for Aurora robotic airship . Proceedings of the 14th AIAA Lighter-Than-Air Conference and Exhibition, Akron, OH.
5.
Bamberger, Y. 1981. Mecanique de l’ingenieur 1, systemes de corp rigides. Hermann, Paris .
6.
Barnes, D., Summers, P., and Shaw, A. 2000. An investigation into aerobot technologies for planetary exploration . Proceedings of the 6th ESAWorkshop on Advanced Space Technologies for Robotics and Automation, Noordwijk, the Netherlands.
7.
Bestaoui,Y. and Hima, S. 2001. Some insight in path planning of small autonomous blimps . Archives of Control Sciences, Polish Academy of Sciences11(3–4): 21–49 .
8.
Bonnet, A. 2003. Identification des coefficients aérodynamiques du dirigeable AS500 du LAAS. Technical report, Etude Hydro-Aérodynamique.
9.
Bryson,A. E. 1954. Evaluation of the inertia coefficients of the cross section of slender body . Journal of the Aeronautical Sciences—Reader’s Forum21(6): 424–427 .
10.
Canudas deWit, C., Khennouf, H., Samson, C., and Sordalen, O. J. 1993. Nonlinear Control Design for Mobile Robots, Y.F. Zheng, editor. World Scientific, Singapore .
11.
Chatila, R., and Laumond, J.-P. 1985. Position referencing and consistent world modeling for mobile robots . Proceedings of the IEEE International Conference on Robotics and Automation, St Louis, MO, pp. 138–145 .
12.
Deans, M., and Herbert, M. 2001. Experimental comparison of techniques for localization and mapping using a bearings only sensor. Experimental Robotics VII, Lecture Notes in Computer Science, S. Singh, editor. Springer-Verlag, Berlin .
13.
de Paiva, E., Bueno, S.,Varella Gomes, S., Bergerman, M., and Ramos, J. 1999. A control system development environment for Aurora’s semi-autonomous robotic airship . Proceedings of the IEEE International Conference on Robotics and Automation, Detroit, MI.
14.
Di Marco, M., Garulli, A., Lacroix, S., and Vicino, A. 2001. Set membership localization and mapping for autonomous navigation . International Journal of Robust and Nonlinear Control11(7): 709–734 .
15.
Dissanayake, G., Newman, P.M., Durrant-Whyte, H.-F., Clark, S., and Csorba, M. 2001. A solution to the simultaneous localization and map building (SLAM) problem . IEEE Transactions on Robotics and Automation17(3): 229–241 .
16.
Dufournaud, Y., Schmid, C., and Horaud, R. 2000. Matching images with different resolutions . International Conference on Computer Vision and Pattern Recognition, Hilton Head Island, SC, pp. 612–618 .
17.
Elfes, A., Bueno, S. S., Bergerman, M., Ramos, J. G., and Varella Gomes, S. B. 1998. Project AURORA: development of an autonomous unmanned remote monitoring robotic airship . Journal of the Brazilian Computer Society4(3): 70–78 .
18.
Elfes, A., Bergerman, M., Carvalho, J. R. H., Carneiro de Paiva, E., Ramaos, J. J. G., and Bueno, S. S. 1999. Air– ground robotic ensembles for cooperative applications: concepts and preliminary results . Proceedings of the 2nd International Conference on Field and Service Robotics, Pittsburgh, PA, pp. 75–80 .
19.
Elfes,A., Bergerman, M., and Bueno, S. 2001. The potential of robotic airships for planetary exploration . Proceedings of the 10th International Conference on Advanced Robotics, Budapest, Hungary, pp. 131–138 .
20.
Faugeras, O., Vieville, T., Theron, E., Vuillemin, J., Hotz, B., Zhang, Z., Moll, L., Bertin, P., Mathieu, H., Fua, P., Berry, G., and Proy, C. 1993. Real-time correlation-based stereo: algorithm, implementations and application. Technical Report RR 2013, INRIA .
21.
Fossen, T. 1996. Guidance and Control of Ocean Vehicles. Wiley, New York .
22.
Guivant, J., and Nebot, E. 2001. Optimization of the simultaneous localization and map building algorithm for real time implementation. IEEE Transactions on Robotics and Automation17(3): 242–257 .
23.
Haralick, R. M. 1994. Propagating covariances in computer vision . International Conference on Pattern Recognition, Jerusalem, Israel, pp. 493–498 .
24.
Haralick, R., Joo, H., Lee, C.-N., Zhuang, X., Vaidya, V. G., and Kim, M. B. 1989. Pose estimation from corresponding point data . IEEE Transactions on Systems, Man, and Cybernetics19(6): 1426–1446 .
25.
Harris, C., and Stephens, M. 1988. A combined corner and edge detector . Proceedings of the 4th Alvey Vision Conference, Manchester, UK, pp. 147–151 .
26.
Hygounenc, E., and Souères, P. 2002. Automatic airship control involving backstepping techniques. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Hammamet, Tunisia.
27.
Hygounenc, E., and Souères, P. 2003. Lateral path following GPS-based control of a small-size unmanned blimp . Proceedings of the IEEE International Conference on Robotics and Automation, Taipei, Taiwan.
28.
Hygounenc, E., Souères, P., and Lacroix, S. 2001. Developments on autonomous airship control at LAAS/CNRS . Proceedings of the 14th AIAA Lighter-Than-Air Systems Convention and Exhibition, Akron, OH.
29.
Jung, I.-K., and Lacroix, S. 2001. A robust interest point matching algorithm . Proceedings of the 8th International Conference on Computer Vision, Vancouver, Canada.
30.
Kieffer, M., Jaulin, L., Walter, E., and Meizel, D. 2000. Robust autonomous robot localization using interval analysis . Reliable Computing6(3): 337–362 .
31.
Kokotovic, P., Krstic, M., and Kanellakopoulos, I. 1995. Nonlinear and Adaptive Control Design. Wiley Interscience, New York .
32.
Kungl, P., Schlenker, M., and Kröplin, B. 2001. Research and testing activities with the solar powered airship Lotte within the scope of the airship research group at the University of Stuttgart . Proceedings of the 14th AIAA Lighter-Than-Air Conference and Exhibition, Akron, OH.
33.
Leonard, J. J., and Durrant-Whyte, H. F. 1991. Simultaneous map building and localization for an autonomous mobile robot. IEEE/RSJ International Workshop on Intelligent Robots and Systems, Osaka, Japan .
34.
Leonard, J. J., and Feder, H. J. S. 2000. A computationally efficient method for large-scale concurrent mapping and localization . Proceedings of the 9th International Symposium on Robotics Research, Salt Lake City, UT, pp. 169– 176 .
35.
Lewis, D. J., Lipscombe, J. M., and Thomasson, P. G. 1984. The simulation of remotely operated underwater vehicles . Proceedings of the ROV ’84 Conference and Exposition, San Diego, CA, the Marine Technology Society.
36.
Lindeberg, T. 1998. Feature detection with automatic scale selection . International Journal on Computer Vision30(2): 79–116 .
37.
Lowe, D. G. 1999. Object recognition from local scaleinvariant features . Proceedings of the 7th International Conference on Computer Vision, Kerkyra, Corfu, Greece, pp. 1150–1157 .
38.
Mallet,A., Lacroix, S., and Gallo, L. 2000. Position estimation in outdoor environments using pixel tracking and stereovision . Proceedings of the IEEE International Conference on Robotics and Automation, San Francisco, CA, pp. 3519– 3524 .
39.
Matthies, L. 1992. Toward stochastic modeling of obstacle detectability in passive stereo range imagery . IEEE International Conference on Computer Vision and Pattern Recognition, Champaign, IL, pp. 765–768 .
40.
Mikolajczyk, K., and Schmid, C. 2001. Indexing based on scale invariant interest points . Proceedings of the 8th International Conference on Computer Vision, Vancouver, Canada, pp. 525–531 .
41.
Moutarlier, P., and Chatila, R. 1991. Incremental free-space modelling from uncertain data by an autonomous mobile robot. International Workshop on Intelligent Robots and Systems, Osaka, Japan , pp. 1052–1058.
42.
Munk, M. M. 1922. Notes on aerodynamic forces 3: the aerodynamic forces on airships. Technical Report 106, NACA Technical Notes.
43.
Olson, C., Matthies, L., Schoppers, M., and Maimone, M. 2001. Stereo ego-motion improvements for robust rover navigation . Proceedings of the IEEE International Conference on Robotics and Automation, Seoul, Korea, pp. 1099– 1104 .
44.
Schmid, C., Mohr, R., and Bauckhage, C. 1998. Comparing and evaluating interest points . Proceeding of the 6th International Conference on Computer Vision, Bombay, India, pp. 230–235 .
45.
Se, S., Lowe, D., and Little, J. 2001. Local and global localization for mobile robots using visual landmarks . IEEE/RSJ International Conference on Intelligent Robots and Systems, Maui, Hawaii, pp. 414–420 .
46.
Smith, R., Self, M., and Cheeseman, P. 1987. Astochastic map for uncertain spatial relationships . Robotics Research: The 4th International Symposium, Santa Cruz, CA, pp. 468– 474 .
47.
Thrun, S., Fox, D., and Burgard, W. 1998. A probabilistic approach to concurrent mapping and localization for mobile robots . Autonomous Robots5: 253–271 .
48.
Thrun, S., Burgard, W., and Fox, D. 2000. A real-time algorithm for mobile robot with applications to multi-robot and 3d mapping . IEEE International Conference on Robotics and Automation, San Francisco, CA.
49.
Thwaites, B. 1960. Incompressible Aerodynamics, Oxford University Press, Oxford , p. 415
50.
Turner, A. 2000. Development of a semi-autonomous control system for the uva solar airship Aztec . Proceedings of the 3rd International Airship Convention and Exhibition, Friedrichshafen, Germany.
51.
Wijk, O., and Christensen, H.I. 2000. Triangulation based fusion of sonar data for robust robot pose tracking . IEEE Transactions on Robotics and Automation16(6): 740–752 .
52.
Wimmer, D.-A., andWell, K. H. 2001. Instrumentation, identification and control of airship Lotte . Proceedings of the 14th AIAA Lighter-Than-Air Conference and Exhibition, Akron, OH.
53.
Zabih, R., andWoodfill, J. 1998. A non-parametric approach to visual correspondence . IEEE Transactions on Pattern Analysis and Machine Intelligence submitted.
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