Bibliography

1
J. Andrade-Cetto and A. Sanfeliu.
Topological map learning for a mobile robot in indoor environments.
In J. S. Sànchez and F. Pla, editors, Proceedings of the 9th Spanish Symposium on Pattern Recognition and Image Analysis, pages 221-226, 2001.

2
R. C. Arkin.
Path planning for a vision-based autonomous robot.
In Proceedings of the SPIE Conference on Mobile Robots, pages 240-249, 1986.

3
R. C. Arkin.
Behaviour-based Robotics.
MIT Press, 1998.

4
R.C. Arkin.
Motor schema-based mobile robot navigation.
International Journal of Robotics research, 8(4):92-112, 1989.

5
M. Asada, S. Noda, S. Tawaratsumida, and K. Hosoda.
Purposive behavior acquisition for a real robot by vision-based reinforcement learning.
Machine Learning, 23:279-303, 1996.

6
D. P. Bertsekas and J. N. Tsitsiklis.
Neuro-Dynamic Programming.
Athena Scientific, Belmont, MA, 1996.

7
G. Bojadziev and M. Bojadziev.
Fuzzy sets, fuzzy logic, applications, volume 5 of Advances in Fuzzy Systems.
World Scientific, 1995.

8
R. Brooks.
A robust layered control system for a mobile robot.
IEEE Journal of Robotics and Automation, RA-2(1):14-23, 1986.

9
W. Burgard, A. B. Cremers, D. Fox, G. Lakemeyer, D. Hähnel, D. Schulz, W. Steiner, and S. Thrun.
The interactive museum tour-guide robot.
In Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI'98), 1998.

10
D. Busquets, R. López de Màntaras, C. Sierra, and T.G. Dietterich.
Reinforcement learning for landmark-based robot navigation.
In Proceedings of the First International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2002), pages 841-842. ACM press, 2002.

11
D. Busquets, T.G. Dietterich, R. López de Màntaras, and C. Sierra.
A mulit-agent architecture integrating learning and fuzzy techniques for landmark-based robot navigation.
Lecture Notes in Computer Science (Proceedings of CCIA'02), 2504:269-281, 2002.

12
D. Busquets, C. Sierra, and R. López de Màntaras.
A multi-agent approach to fuzzy landmark-based navigation.
Journal of Multiple-Valued Logic and Soft Computing, Old City Publishing (In press).

13
D. Busquets, C. Sierra, and R. López de Màntaras.
A multi-agent approach to qualitative landmark-based navigation.
Autonomous Robots, Kluwer Academic Publishers (In press).

14
M. Carreras, J. Batlle, and P. Ridao.
Hybrid coordination of reinforcement learning-based behaviours for auv control.
In Proceedings of IEEE/RSJ IROS, 2001.

15
A. R. Cassandra, L. Pack Kaelbling, and M. L. Littman.
Acting optimally in partially observable stochastic domains.
In Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI'94), pages 1023-1028, Cambridge, MA, 1994. AAAI Press/MIT Press.

16
J.A. Castellanos and J.D.Tardós.
Mobile Robot Localization and Map Building: A Multisensor Fusion Approach.
Kluwer Academic Publishers, 2000.

17
R. Chatila.
Path planning and environment learning in a mobile robot system.
In Proceedings of the 1982 European Conference on Artificial Intelligence (ECAI-82), 1982.

18
R. Chatila and J.P. Laumond.
Position referencing and consistent world modeling for mobile robots.
In Proceedings of the IEEE International Conference on Robotics and Automation, 1985.

19
M.B. Dias and A. Stentz.
A market approach to multirobot coordination.
Technical report, Robotics Institute, Carnegie Mellon University, 2001.

20
T.G. Dietterich, D. Busquets, R.López de Màntaras, and C. Sierra.
Action refinement in reinforcement learning by probability.
In Proceedings of the 19th International Conference on Machine Learning (ICML'02), pages 107-114, 2002.

21
G. Dissanayake, P. Newman, S. Clark, H.F. Durrant-Whyte, and M. Csorba.
A solution to the simultaneous localisation and map building (slam) problem.
IEEE Transaction of Robotics and Automation, 17(3):229-241, 2001.

22
R. O. Duda, P. E. Hart, and D. G. Stork.
Pattern Classification.
John Wiley & Sons, Inc., 2001.

23
A. Elfes.
Sonar-based real-world mapping and navigation.
IEEE Journal on Robotics and Automation, 3(3):249-265, 1987.

24
M. Teresa Escrig and F. Toledo.
Autonomous robot navigation using human spatial concepts.
International Journal of Intelligent Systems, 15:165-196, 2000.

25
R. Liscano et al.
Using a blackboard to integrate multiple activities and achieve strategic reasoning for mobile-robot navigation.
IEEE Expert, 10(2):24-36, 1995.

26
T. Finin, R. Fritzson, and D. McKay.
An overview of KQML: A knowledge query and manipulation language.
Technical report, Department of Computer Science, University of Maryland, Baltimore county, 1992.

27
D. Fox, W. Burgard, and S. Thrun.
Markov localization for mobile robots in dynamic environments.
Journal of Artificial Intelligence Research, 11:391-427, 1999.

28
D. Gachet, M. A. Salichs, L. Moreno, and J. R. Pimentel.
Learning emergent tasks for an autonomous mobile robot.
In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 290-297, 1994.

29
E. Gat.
Reliable Goal-Directed Reactive Control of Autonomous Mobile Robots.
PhD thesis, Virginia Polytechnic Institute and State University, Blacksburg, 1991.

30
B. Hayes-Roth.
An architecture for adaptive intelligent systems.
Artificial Intelligence, 72(1-2):329-365, January 1995.

31
M. Humphrys.
Action selection methods using reinforcement learning.
In Pattie Maes et al, editor, From Animals to Animats 4: Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior, pages 135-144, Cambridge, MA, 1996. MIT Press.

32
C. Isik and A.M. Meystel.
Pilot level of a hierarchical controller for an unmanned mobile robot.
IEEE J. Robotics and Automation, 4(3):241-255, 1988.

33
L.P. Kaelbling, A.R. Cassandra, and J.A. Kurien.
Acting under uncertainty: Discrete bayesian models for mobile-robot navigation.
In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 1996.

34
O. Khatib.
Real-time obstacle avoidance for manipulators and mobile robots.
In Proceedings of the IEEE International Conference on Robotics and Automation, pages 500-505, St. Louis, MO, 1985.

35
D. Kortencamp and T. Weymouth.
Topological mapping for mobile robots using a combination of sonar and vision sensing.
In Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI'94), pages 979-984, 1994.

36
D. M. Kortenkamp.
Cognitive maps for mobile robots: A representation for mapping and navigation.
PhD thesis, University of Michigan, Computer Science and Engineering Department, Michigan, 1993.

37
B. Krogh.
A generalized potential field approach to obstacle avoidance control.
Technical Report MS84-484, Society of Manufacturing Engineers, Dearborn, Michigan, 1984.

38
B.J. Kuipers and Y.-T. Byun.
A robust qualitative method for spatial learning in unknown environments.
In Proceedings of AAAI-88, Menlo Park, CA, 1988. AAAI Press/MIT Press.

39
T.S. Levitt and D.T. Lawton.
Qualitative navigation for mobile robots.
Artificial Intelligence Journal, 44:305-360, 1990.

40
M. López.
Approaches to Map Generation by means of Collaborative Autonomous Robots.
PhD thesis, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, 1999.
Also as Monografies de l'IIIA (Vol. 11).

41
M. López, F. Esteva, R. López de Mantaras, C. Sierra, and J. Amat.
Map generation by cooperative low-cost robots in structured unknown environments.
Autonomous Robots, 5:53-61, 1998.

42
R. Lumia.
Using nasrem for real-time sensory interactive robot control.
Robotica, 12(2):127-135, 1994.

43
P. Maes.
The dynamics of action selection.
In Proceedings of the Eleventh International Joint Conference on Artificial Intelligence (IJCAI'89), pages 991-997, 1989.

44
P. Maes and R. Brooks.
Learning to co-ordinate behaviours.
In Thomas Dietterich and William Swartout, editors, Proceedings of the 8th National Conference on Artificial Intelligence (AAAI-90), volume 2, pages 796-802, July29 August-3  1990.

45
S. Mahadevan and J. Connell.
Automatic programming of behavior-based robots using reinforcement learning.
Artificial Intelligence, 55(2-3):311-365, June 1992.

46
E. Martinez and C. Torras.
Qualitative vision for the guidance of legged robots in unstructured environments.
Pattern Recognition, 34(8):1585-1599, 2001.

47
M.J. Mataric.
Navigating with a rat brain: a neurobiologically-inspired model for robot spatial representation.
In J.-A. Meyer and S.W. Wilson, editors, From Animals to Animats, Cambridge, MA, 1991. MIT Press.

48
M.J. Mataric.
Behavior-based control: Main properties and implications.
In Proceedings of Workshop on Intelligent Control Systems, International Conference on Robotics and Automation, Nice, France, 1992.

49
A. W. Moore and C. G. Atkeson.
Prioritized sweeping: Reinforcement learning with less data and less time.
Machine Learning, 13:103, 1993.

50
H.P. Moravec.
Toward automatic visual obstacle avoidance.
In Proceedings of the Fifth International Joint Conference on Artificial Intelligence, page 584, Cambridge, MA, 1977.

51
H.P. Moravec.
Sensor fusion in certainty grids for mobile robots.
AI Magazine, 9(2):61-74, 1988.

52
H.P. Moravec and A. Elfes.
High resolution maps from wide angle sonar.
In Proceedings of the IEEE International Conference on Robotics and Automation, pages 116-121, 1985.

53
H. Muhlenbein and D. Schlierkamp-Voosen.
The science of breeding and its application to the breeder genetic algorithm (bga).
Evolutionary Computation, 1(1):335-360, 1993.

54
N.J. Nilsson.
A mobile automaton: An application of ai techniques.
In Proceedings of the 1969 International Joint Conference on Artificial Intelligence (IJCAI'69), 1969.

55
T.J. Prescott.
Spatial representation for navigation in animats.
Adaptive Behavior, 4(2):85-125, 1996.

56
J. Rosenblatt.
Damn: A distributed architecture for mobile navigation.
In Proceedings of the 1995 AAAI Spring Symposium on Lessons Learned from Implemented Software Architectures for Physical Agents. AAAI Press, March 1995.

57
A. Saffiotti, K. Konolige, and E.H. Ruspini.
A multivalued-logic approach to integrating planning and control.
Artificial Intelligence, 76(1/2):481-526, 1995.

58
A. Saffiotti, E.H. Ruspini, and K. Konolige.
Integrating reactivity and goal-directedness in a fuzzy controller.
In Proceedings of the 2nd Fuzzy-IEEE Conference, 1993.

59
C. Sierra, R. López de Màntaras, and D. Busquets.
Multiagent bidding mechanisms for robot qualitative navigation.
Lecture Notes in Computer Science. Intelligent Agents VII (Proceedings of ATAL'00), 1986:198-212, 2001.

60
R. Simmons and S. Koenig.
Probabilistic robot navigation in paritally observable environments.
In Proceedings of IJCAI-95, pages 1080-1087, 1995.

61
R. Smith, M. Self, and P. Cheeseman.
Estimating uncertain spatial relationships in robotics.
Autonomous Robot Vehicles, pages 167-193, 1990.

62
H. Stone.
Introduction to Computer Architecture.
SRA, 2nd edition, 1980.

63
R. Sun and C. Sessions.
Bidding in reinforcement learning: A paradigm for multi-agent systems.
In O. Etzioni, J.P. Müller and J.M. Bradshaw, editor, Proceedings 3rd Annual Conference on Autonomous Agents, pages 344-345, Seattle, 1999.

64
R. Sutton and A. G. Barto.
Introduction to Reinforcement Learning.
MIT Press, Cambridge, MA, 1998.

65
S. Thrun.
Bayesian landmark learning for mobile robot localization.
Machine Learning, 33(1):41-76, 1998.

66
S. Thrun.
Learning Metric-Topological Maps for Indoor Mobile Robot Navigation.
Artificial Intelligence, 99(1):21-71, 1998.

67
S. Thrun, A. Bücken, W. Burgard, D. Fox, T. Fröhlinghaus, D. Henning, T. Hofmann, M. Krell, and T. Schmidt.
Map learning and high-speed navigation in rhino.
In D. Kortenkamp, R.P. Bonasso, and R Murphy, editors, AI and Mobile Robots: Case Studies of Successful Robot Systems, pages 21-52. MIT Press, 1998.

68
D. Zipser.
Biologically plausible models of place recognition and goal location.
In J.L. McClelland and D.E. Rumelhart, editors, Parallel Distributed Processing: Explorations in the Micro-Structure of Cognition, Vol. 2, pages 432-470, Cambridge, MA, 1986. Bradford Books.



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