Bibliografia

1

J. Amat, R. López de Mántaras and C. Sierra.
Cooperative autonomous low-cost robots for exploring unknown environments.
In Procs. of the 4th Int. Symp. on Experimental Robotics (ISER'95), p. 28-33, Stanford, CA, 1995.

2

F. Amigoni and V. Caglioti.
An Information-Based Criterion for Efficient Robot Map Building.
In Proceedings of the 2003 IEEE International Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems (VECIMS2003), IEEE Press, Lugano, Switzerland, July 27-29 2003, p. 184-189.

3

D. Anguelov, R. Biswas, D. Koller, B. Limketkai, S. Sanner and S. Thrun.
Learning hierarchical object maps of non-stationary environments with mobile robots.
In Proceedings of the 17th Annual Conference on Uncertainty in AI (UAI), 2002.

4

A. Arleo and J. Del R. Millán.
Neural network learning of variable grid-based maps for the autonomous navigation of robots.
In IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA '97), p. 40-45, Monterey, CA, June 10-11 1997.

5

K. O. Arras, N. Tomatis and R. Siegwart.
Multisensor On-the-Fly Localization Using Laser and Vision.
In IEEE/RSJ International Conf. on Intelligent Robots and Systems (IROS'00), Takamatsu, Japan, 2000.

6

R. E. Bellman and S. E. Dreyfus
Applied Dynamic Programming
Princeton University Press, 1962.

7

J. Borenstein and L. Feng.
Measurement and correction of systematic odometry errors in mobile robots.
IEEE Transactions on Robotics and Automation, 12, p. 869-880, December 1996.

8

J. Borenstein and Y. Koren.
Histogramic in-motion mapping for mobile robot obstacle avoidance.
IEEE Transactions on Robotics and Automation, 7(4), p. 535-539, 1991.

9

J. Borenstein and Y. Koren.
The vector field histogram - fast obstacle avoidance for mobile robots.
IEEE Transactions on Robotics and Automation, 7(3), p. 278-288, 1991.

10

W. Burgard, A.B. Cremers, D. Fox, D. Hähnel, G. Lakemeyer, D. Schulz, W. Steiner, and S. Thrun.
Experiences with an interactive museum tourguide robot.
Artificial Intelligence, 114(1-2), 2000.

11

W. Burgard, A. Derr, D. Fox, and A. Cremers.
Integrating global position estimation and position tracking for mobile robots: the dynamic markov localization approach.
In Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 1998), p. 730-735, Victoria, BC, Canada, October 1998.

12

W. Burgard, D. Fox, M. Moors, R. Simmons and S. Thrun.
Collaborative multi-robot exploration.
In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), San Francisco, CA, 2000. IEEE.

13

V. Caglioti.
An entropic criterion for minimum uncertainty sensing in recognition and localization - Part 1: Theoretical and conceptual aspects.
IEEE Transactions on Systems, Man, and Cybernetics 31 (2) (2001), p. 187-196.

14

R. Chatila and J. Laumond.
Position referencing and consistent world modeling for mobile robots.
In Proceedings of the IEEE International Conference on Robotics & Automation, volume 2, p. 138-145, March 1985.

15

I.J. Cox.
Blanche-an experiment in guidance and navigation of an autonomous robot vehicle.
IEEE Transactions on Robotics and Automation, 7(2):193-204, April 1991.

16

M. de Berg, P. Bose, O. Cheong and P. Morin.
On simplifying dot maps.
Computational Geometry Teory and Applications, 27(1):43-62, 2004.

17

G. Dissanayake, P. Newman, S. Clark, H. F. Durrant-Whyte and M.Csorba.
A solution to the simultaneous localization and map building (SLAM) problem.
IEEE Transaction on Robotics & Automation, 17(3), June 2001.

18

D. P. Dobkin and A. Tal.
Efficient and small representations of line arrangements with applications.
In Proc. 17th Annu. ACM Sympos. Comput. Geom., p. 293-301, 2001.

19

T. Einsele.
Real-time self-localization in unknown indoor environments using a panorama laser range finder.
In Proceedings of the IEEE/RSJ IROS, p. 697-702, 1997.

20

D.Fox, W. Burgard, and S. Thrun.
Markov localization for mobile robots in dynamic environments.
Journal of Artificial Intelligence Research, 11, p. 391-427, 1999.

21

U. Frese and G. Hirzinger.
Simultaneous Localization and Mapping A Discussion.
Proceedings of the IJCAI Workshop on Reasoning with Uncertainty in Robotics, Seattle.

22

G. Gini , F. Amigoni, A. Bonarini, V. Caglioti and M. Somalvico.
Self localization of mobile robots in indoor environment.
In Taraglio, S.; Nanni, V. (editors); Enabling Technologies for the PRASSI Autonomous Robot, ENEA Robotics and Information Technology Division, p. 86-97.

23

H. H. Gonzáles-Baños, E. Mao, J. C. Latombe, T. M. Murali and A. Efrat.
Planning robot motion strategies for efficient model construction.
In Hollerbach, J. and Koditschek, D., editors, Robotics Research - The 9th Int. Symposium, p. 345-352. Springer, 2000.

24

J. Gonzalez, A. Ollero and A. Reina.
Map building for a mobile robot equipped with a 2d laser rangefinder.
In Proceedings of the IEEE International Conference on Robotics&Automation, San Diego, USA, 1994.

25

H. H. González-Baños and J. C. Latombe.
Navigation strategies for exploring indoor environments.
International Journal of Robotics Research, 21(10 11), p. 829-848, Oct.-Nov. 2002.

26

J. S. Gutmann, W. Burgard, D. Fox and K. Konolige.
An experimental comparison of localization methods.
In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'98), 1998.

27

J. Gutmann and K. Konolige.
Incremental mapping of large cyclic environments.
In Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), p. 318-325, Monterey, California, November 1999.

28

J. S. Gutmann and C. Schlegel.
Amos: Comparison of scan matching approaches for self-localization in indoor environments.
In IEEE Computer Society Press, editor, Proceedings of the 1st Euromicro Workshop on Advanced Mobile Robots, 1996.

29

J. S. Gutmann, T. Weigel and B. Nebel.
A fast, accurate, and robust method for self-localization in polygonal environments using laser-range-finders.
Advanced Robotics Journal, 14(8):651-668, 2001.

30

D. Hähnel, D. Schulz and W. Burgard.
Map building with mobile robots in populated environments.
In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 02), volume 1, p. 496-501, Lausanne, Switzerland, September 30-October 5 2002.

31

A. Howard, M. J. Mataric and G. S. Sukhatme.
Putting the `I' in `Team': an Ego-Centric Approach to Cooperative Localization.

32

J. Hromkovic.
Algorithmics for hard problems.
Springer-Verlag, 2001.

33

S.A. Hutchinson and A.C. Kak.
Planning Sensing Strategies in a Robot Work Cell with Multi-Sensor Capabilities.
IEEE Transaction on Robotics & Automation, 5(6), p.765-783, 1989.

34

Young D. Kwon and Jin S. Lee.
A stochastic map building method for mobile robot using 2-d laser range finder.
Autonomous Robots, 7(2), p.187-200, 1999.

35

Kyung-Hoon Kim and Hyung Suck Cho.
Range and contour fused environment recognition for mobile robot.
International Conference on Multisensor Fusion and Integration for Intelligent Systems, p. 183-188, 2001. MFI 2001., 20-22 Aug. 2001

36

F. Lu and E. Milios.
Globally consistent range scan alignment for environment mapping.
Autonomous Robots, 3, p. 333-349, 1997.

37

F. Lu and E. Milios.
Robot pose estimation in unknown environments by matching 2d range scans.
Journal of Intelligent and Robotic Systems, 18, p. 249-275, 1997.

38

Paul MacKenzie and Gregory Dudek.
Precise positioning using model-based maps.
In Proc. IEEE Int. Conf. on Robotics and Automation, San Diego, CA, 1994.

39

A. Martignoni III and W. Smart.
Localizing while mapping: A segment approach.
In Proceedings of the National Conference on Artificial Intelligence (AAAI), p. 959-960, Edmonton, Alberta, Canada, 2002. AAAI, AAAI Press.

40

H. Moravec.
Sensor fusion in certainty grids for mobile robots.
AI Magazine, 9(2), p. 61-74, 1989.

41

P. Moutarlier and R.Chatila.
Stochastic multisensory data fusion for mobile robot location and environment modeling.
In 5th Int.Symposium on Robotics Research, Tokio, 1989.

42

W. D. Rencken.
Concurrent localisation and map building for mobile robots using ultrasonic sensors.
In Proceedings of the 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 93), volume 3, p. 2192-2197, 26-30 July 1993.

43

T. Röfer.
Building consistent laser scan map.
In Proceedings of the 4th European Workshop On Advanced Mobile Robots (Eurobot-2001), volume 86, p. 83-90. Lund University Cognitive Studies, 2001.

44

H. Samet.
The quadtree and related hierarchical data structures.
ACM Computing Surveys, 16(2), p. 187-260, June 1984.

45

B. Schiele and J. L. Crowley.
A comparison of position estimation techniques using occupancy grids.
In Proceedings of the 1994 IEEE International Conference on Robotics and Automation, p. 1628-1634, San Diego, CA, May 1994.

46

D. Schröter, M. Beetz and J. S. Gutmann.
RG mapping: Learning compact and structured 2D line maps of indoor environments.
In Proceedings of the IEEE International Workshop on Robot and Human Interactive Communication (ROMAN'02), Berlin, Germany, September 2002.

47

A. Scott, L.E. Parker and C. Touzet.
Quantitative and qualitative comparison of three laser-range mapping algorithms using two types of laser scanner data.
IEEE International Conference on Systems, Man, and Cybernetics, 2000, Volume: 2 , 8-11 Oct. 2000, p. 1422-1427 vol.2.

48

Shore, J. E. (1984).
On a relation between maximum likelihood classification and minimum relative entropy classification.
IEEE Transactions on Information Theory, 30(6):851-854.

49

R. Sim and G. Dudek.
Effective exploration strategies for the construction of visual maps.
In Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA, October 27-31 2003, IEEE Press.

50

R. Simmons and S. Koenig.
Probabilistic robot navigation in partially observable environments.
In Proceedings of the International Joint Conference on Artificial Intelligence, p. 1080-1087, 1995.

51

C. Stachniss and W. Burgard.
Mapping and exploration with mobile robots using coverage maps.
In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2003.

52

Tarantola, A. (1986).
Inverse Problem Theory.
Elsevier, Amsterdam, The Netherlands.

53

S.H.G. ten Hagen and B.J.A. Kröse.
Learning to navigate using a lazy map.
Proceedings of the 11th International Conference on Advanced Robotics, ICAR'03.

54

ten Hagen, S.H.G. and Kröse, B.J.A.
Trajectory reconstruction for self-localization and map building.
In Proc. IEEE Int. Conf. on Robotics and Automation, Washington D.C., USA, May 2002.

55

S. Thrun.
Learning metric-topological maps for indoor mobile robot navigation.
Artificial Intelligence, 99(1), p.21-71, 1998.

56

S. Thrun.
Robotic mapping: A survey.
In G. Lakemeyer and B. Nebel, editors, Exploring Artificial Intelligence in the New Millenium. Morgan Kaufmann, 2002.

57

S. Thrun, W. Burgard and D. Fox.
A probabilistic approach to concurrent mapping and localization for mobile robots.
Machine Learning, 31, p. 29-53, 1998.

58

S. Thrun, W. Burgard and D. Fox.
A real-time algorithm for mobile robot mapping with applications to multi-robot and 3D mapping.
In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), San Francisco, CA, 2000. IEEE.

59

S. Thrun, J. S. Gutmann, D. Fox, W. Burgard and B. Kuipers.
Integrating topological and metric maps for mobile robot navigation: A statistical approach.
In Proceedings of the National Conference on Artificial Intelligence, p. 989-995, 1998.

60

N. Tomatis, I. Nourbakhsh and R. Siegwart.
Simultaneous localization and map building: A global topological model with local metric maps.
In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS 2001, 2001.

61

T. Weigel J. S. Gutmann and B. Nebel.
A fast, accurate, and robust method for self-localization in polygonal environments using laser-range-finders.
Advanced Robotics Journal, 14(8), p. 651-668, 2001.

62

G. Weiss and E. von Puttkamer.
A map based on laser scans without geometric interpretation.
In Proceedings of the Intelligent Autonomous Systems 4 (IAS-4), p. 403-407, Karlsruhe, Germany, March 1995.

63

G. Weiss, C. Wetzler, and E. Von Puttkamer.
Keeping track of position and orientation of moving indoor systems by correlation of range-finder scans.
In Proceedings of the IEEE International Conference on Intelligent Robots and Systems 94 (IROS 94), p. 12-16, Munich, Germany, September 1994.

64

Williams S.B., Dissanayake G. and Durrant-Whyte H.
An efficient approach to the simultaneous localisation and mapping problem.
IEEE International Conference on Robotics and Automation, 2002. Proceedings. ICRA '02, Volume: 1 , 11 - 15 May 2002, p. 406 - 411, vol.1

65

L. Zhang and B. Ghosh.
Line segment based map building and localization using 2D laser rangefinder.
In Proceedings of the 2000 IEEE International Conference on Robotics & Automation, San Francisco, CA, April 2000.