Publications

Edited Books

  1. Sammut, C. A. (Ed.). (1989). Proceedings of the Fifth Australian Conference on the Applications of Expert Systems. University of Technology, Sydney.
  2. Sammut, C. and Hoffmann, A. (Eds.). (2002). Proceedings of the Nineteenth Internaional Conference on Machine Learning. Sydney: Morgan Kaufmann.
  3. Matwin, S. and Sammut, C. (Eds.). (2003). Inductive Logic Programming: 12th International Conference, ILP2002 (Vol. 2583). Sydney: Springer.
  4. Nardi, D., Riedmuller, M. and Sammut, C. (Eds.). (2005). Proceedings of the RoboCup 2004 Symposium: Springer.
  5. Sammut, C. (Ed.). (2005). Proceedings of the Australasian Conference on Robotics and Automation. Sydney: Australian Robotics and Automation Association.
  6. Sammut, C. and Webb, G. (2010) Encyclopedia of Machine Learning. Springer.

Journals

  1. Cohen, B. L. and Sammut, C. A. (1978). CONFUCIUS: A Structural Concept Learning System. Australian Computer Journal 10(4): 138-144.
  2. Cohen, B. and Sammut, C. (1980). Learning Concepts in Complex Environments. Australian Computer Science Communications 2(1): 13-23.
  3. Cohen, B. L. and Sammut, C. A. (1982). Object Recognition and Concept Learning with CONFUCIUS. Pattern Recognition Journal 15(4): 309-316.
  4. Sammut, R. A. and Sammut, C. A. (1983). PROLOG: A Tutorial Introduction. Australian Computer Journal 15(2).
  5. Sammut, C. A. and Sammut, R. A. (1983). The Implementation of UNSW Prolog. Australian Computer Journal 15(2).
  6. Sammut, C. A. (1985). Concept Development for Expert System Knowledge Bases. Australian Computer Journal 17(1): 49-55.
  7. Sammut, C. and Michie, D. (1991). Controlling a 'Black-Box' Simulation of a Spacecraft. AI Magazine 12(1): 56-63.
  8. Hauser, T., Kraegen, E. W., Campbell, L. V., Compton, P., Sammut, C. A. and Chislom, D. J. (1992). Assessment of Expertos Approach to Insulin Therapy and Development of a  Simulator for Diabetes Insulin Adjustment. Diabetes Care 15(2): 221-231.
  9. Amin, A., Sammut, C. and Sum, K. C. (1996). Learning to recognize hand-printed Chinese characters using Inductive Logic Programming. International Journal of Pattern Recognition and Artificial Intelligence 10(7): 829-847.
  10. Sammut, C. (1996). Automatic construction of reactive control systems using symbolic machine learning. Knowledge Engineering Review 11(1): 27-42.
  11. Zrimec, T. and Sammut, C. (1997). A medical image understanding system. Engineering Applications of Artificial Intelligence 10(1): 31-39.
  12. Sammut, C. (1997). Using background knowledge to build multistrategy learners. Machine Learning 27: 241-257.
  13. Harries, M. B., Sammut, C. and Horn, K. (1998). Extracting hidden context. Machine Learning 32(2): 101-126.
  14. Sammut, C. (2001). Managing Context in a Conversational Agent. Linkoping Electronic Articles in Computer and Information Science 6(27).
  15. Wang, Z., Hengst, B. and Sammut, C. (2002). Localisation in an uncertain world with multiple agents. Linköping Electronic Articles in Computer and Information Science 7(19).
  16. Mulholland, M., Hibbert, D. B., Haddad, P. R. and Sammut, C. (1994). The application of the C4.5 classifier to building an expert system for ion chromatography. Chemometrics and Intelligent Laboratory Systems.
  17. Kadous, M. W. and Sammut, C. (2005). Classification of Multivariate Time Series and Structured Data using Constructive Induction. Machine Learning 58: 179-216.
  18. Potts, D. and Sammut, C. (2005). Incremental Learning of Linear Model Trees. Machine Learning 6(1-3): 5-48.

  19. D’Este, C. and Sammut, C. (2008). Learning and generalising semantic knowl- 

    edge from object scenes. Robotics and Autonomous Systems, 56(11): 891–900.

  20. Shirazi, H. and Sammut, C. A. (2008). Acquiring control knowledge from examples using ripple-down rules and machine learning. Iran J Sci Technol B, 32(B3): 295–304.
  21. C. Sammut. Robot soccer. Wiley Interdisciplinary Reviews: Cognitive Science, 2010.

Book Chapters

  1. Sammut, C. A. and Cohen, B. L. (1980). A Language for Describing Concepts as Programs. In J. M. Tobias (Ed.), Language Design and Programming Methodology (Vol. 79, pp. 111-116): Springer.
  2. Sammut, C. A. and Banerji, R. B. (1986). Learning Concepts by Asking Questions. In R. S. Michalski, J. G. Carbonell and T. M. Mitchell (Eds.), Machine Learning: An Artificial Intelligence Approach, Vol 2 (pp. 167-192). Los Altos, California.
  3. Grech, A. and Sammut, C. (1987). Qualitative Plausible Reasoning and Assumptions. In J. R. Quinlan (Ed.), Applications of Expert Systems: Addison-Wesley.
  4. Sammut, C. A. (1991). Error-Tolerant Learning Systems. In D. Michie and J. Hayes-Michie (Eds.), Machine Intelligence 12 (pp. 169-185).
  5. Hume, D. and Sammut, C. (1992). Applying Inductive Logic programming in Reactive Environments. In S. Muggleton (Ed.), Inductive Logic Programming (pp. 539-549): Academic Press.
  6. Sammut, C. (1994). Knowledge Representation. In D. Michie, D. J. Speigelhalter and C. C. Taylor (Eds.), Machine Learning, Neural Nets and Statistical Classification (pp. 228-245).
  7. Sammut, C. (1994). Recent Progress with BOXES. In K. Furukawa, D. Michie and S. Muggleton (Eds.), Machine Intelligence 13 (pp. 363-383). Oxford: Clarendon Press.
  8. Mahidadia, A., Sammut, C. and Compton, P. (1994). Applying Inductive Logic Programming to Causal Qualitative Models in Neuroendocrinology. In C. Zhang, J. Debenham and D. Lukose (Eds.), Artificial Intelligence: Sowing the Seeds of the Future (pp. 68-75). Armidale.
  9. Michie, D. and Sammut, C. (1995). Behavioural Clones and Cognitive Skill Models. In K. Furukawa, D. Michie and S. Muggleton (Eds.), Machine Intelligence 14 (pp. 395-404): Oxford University Press.
  10. McGarity, M., Clements, D. and Sammut, C. (1995). Controlling a Steel Mill with BOXES. In K. Furukawa, D. Michie and S. Muggleton (Eds.), Machine Intelligence 14 (pp. 303-328): Oxford University Press.
  11. Bratko, I., Urbancic, T. and Sammut, C. (1998). Behavioural Cloning of Control Skill. In R. S. Michalski, I. Bratko and M. Kubat (Eds.), Machine Learning and Data Mining (pp. 335-351).
  12. Bain, M. and Sammut, C. (1999). A framework for behavioural cloning. In K. Furukawa, D. Michie and S. Muggleton (Eds.), Machine Intelligence 15 (pp. 103-129): Oxford University Press.
  13. Hengst, B., Ibbotson, D., Pham, S. B., Dalgliesh, J., Lawther, M., Preston, P. and Sammut, C. (2001). The UNSW Robocup 2000 Sony Legged League Team. In P. Stone, T. Balch and G. Kraetzschmar (Eds.), Robocup 2000: Robot Soccer World Cup IV (Vol. 2019, pp. 64-75). Heidelberg: Springer.
  14. Pham, S. B., Hengst, B., Sammut, C. and Ibbotson, D. (2002). Stochastic Gradient Descent Localisation in Quadruped Robots. In Robocup 2001: Robot Soccer World Cup V (pp. 447-452). Berlin: Springer.
  15. Hengst, B., Pham, S. B., Ibottson, D. and Sammut, C. (2002). Omnidirectional Locomotion for Quadruped Robots. In RoboCup 2001: Robot Soccer World Cup V (pp. 368-373). Berlin: Springer.
  16. Chen, S., Siu, L., Vogelgesang, T., Yik, T. F., Hengst, B., Pham, S. B. and Sammut, C. (2002). The UNSW RoboCup 2001 Sony Legged Robot Leage Team. In A. Birk, S. Coradeschi and S. Tadokoro (Eds.), RoboCup 2001: Robot Soccer World Cup V (pp. 39-48): Springer.
  17. Sammut, C. and Hengst, B. (2003). The Evolution of a Robot Soccer Team. In R. A. Jarvis and A. Zelinksky (Eds.), Robotics Research: The Tenth International Conference (pp. 517-529): Springer.
  18. Mak, P., Kang, B.-H., Sammut, C. and Kadous, M. W. (2004). Knowledge Acquisition Module for Conversational Agents. In C. Zhang, H. W. Guesgen and Wai K.Yeap (Eds.), PRICAI 2004: Trends in Artificial Intelligence (Vol. 3157): Springer.
  19. C. Sammut and T. F. Yik. Multistrategy learning for robot behaviours. In J. Koronacki, Z. W. Ras, S. T. Wierzchon, and J. Kacprzyk, editors, Advances in Machine Learning I, volume 262 of Studies in Computational Intelligence. Springer, 2010.

Refereed Conferences

  1. Cohen, B. L. and Sammut, C. A. (1978). CONFUCIUS - A Structural Approach to Object Recognition and Concept Learning. In Australian Universities Computer Science Seminar (pp. 249-259).
  2. Cohen, B. L. and Sammut, C. A. (1978). Pattern Recognition and Learning with Structural Description Languages. In Fourth International Joint Conference on Pattern Recognition (pp. 1443-1446). Tokyo.
  3. Cohen, B. L. and Sammut, C. A. (1980). Program Synthesis Through Concept Learning. In Y. Kodratoff (Ed.), Proceedings of The International Workshop on Program Construction. Bonas, France: I.N.R.I.A.
  4. Sammut, C. A. (1981). Concept Learning by Experiment. In Seventh International Joint Conference on Artificial Intelligence (pp. 104-105). Vancouver.
  5. Sammut, C. and Banerji, R. B. (1983). HIERARCHICAL MEORIES: An Aid To Concept Learning. In Proceedings of the 1983 International Machine Learning Workshop (pp. 74-80). Monicello, Illinois.
  6. Cohen, B. L. and Sammut, C. A. (1984). Program Synthesis Through Concept Learning. In A. W. Biermann, G. Guiho and Y. Kodratoff (Eds.), Automatic Program Construction Techniques (pp. 463-482): Macmillan.
  7. Sammut, C. A. and Hume, D. V. (1985). Learning Concepts in a Complex Robot World. In Proceedings of the Third International Machine Learning Workshop. Skytop, Pennsylvania.
  8. Sammut, C. A. and Pollaers, J. (1986). A Frame Based Knowledge Representation System for Prolog. In Proceedings of the Ninth Australian Computer Science Conference (pp. 201-220). Canberra.
  9. Sammut, C. A. and Hume, D. V. (1987). Observation and Generalisation in a Simulated Robot World. In P. Langley (Ed.), Proceedings of the Fourth International Machine Learning Workshop (pp. 267-273). Los Altos, California.
  10. Sammut, C. (1988). Experimental Results from an Evaluation of Algorithms that Learn to Control Dynamic Systems. In Fifth International Conference on Machine Learning (pp. 437-443). University of Michigan, Ann Arbor: Morgan Kaufmann.
  11. Sammut, C. A. (1988). Logic Programs as a Basis for Machine Learning. In P. Brazdil (Ed.), Proceedings of the International Workshop on Logic, Meta-Reasoning and Learning. Sesimbra, Portugal.
  12. Srinivasan, A., Sammut, C. A. and Richards, J. A. (1989). A Knowledge-Based System for Multi-Source Classification in Remote Sensing. In Proceedings of the Fifth Australian Conference on Applications of Expert Systems (pp. 102-119). University of Technology, Sydney.
  13. Sammut, C. and Cribb, J. (1990). Is Learning Rate a Good Performance Criterion of Learning? In B. W. Porter and R. J. Mooney (Eds.), Proceedings of the Seventh International Machine Learning Conference (pp. 170-178). San Mateo, CA.
  14. Sammut, C. A. and Colomb, R. M. (1990). Using an ATMS to Compile Rules for a Real-Time Expert System. In Proceedings of the Australian Joint Artificial Intelligence Conference (pp. 323-330). Perth.
  15. Clark, P., Cestnik, B., Sammut, C. and Stender, J. (1991). Panel: Applications of Machine Learning - Notes from the Panel Members. In Y. Kodratof (Ed.), Machine Learning - EWSL-91, European Working Session on Learning (Vol. 482, pp. 457-462). Porto, Portugal: Springer.
  16. Colomb, R., Srinivasan, A. and Sammut, C. (1991). Making Knowledge Representation Indepdendent of Knowledge Processing. In J. R. Quinlan (Ed.), Proceedings of the IJCAI'91 Knowledge Acquisition Workshop. Pokolbin.
  17. Hume, D. and Sammut, C. (1991). Using Inverse Resolution to Learn Relations from Experiments. In L. Birnbaum and G. C. Collins (Eds.), Proceedings of the Eigth International Machine Learning Conference (pp. 412-416). Northwestern University, Illinois: Morgan Kaufmann.
  18. Mansuri, Y., Kim, J.-G., P.J.Compton and Sammut, C. A. (1991). An Evaluation of Ripple-Down Rules. In Proceedings of the IJCAI'91 Knowledge Acquisition Workshop. Pokolbin.
  19. Srinivasan, A., Compton, P., Malor, R., Edwards, G., Sammut, C. and Lazarus, L. (1991). Knowledge Acquisition in Context for a Complex Domain. In Proceedings of the European Knowledge Acquisition Workshop. Aberdeen.
  20. Mahidadia, A., Sammut, C. and Compton, P. (1992). Building and Maintaining Causal Theories. In Proceedings of the AAAI Symposium on Knowledge Assimilation. Stanford.
  21. Mahidadia, A., Sammut, C. and Compton, P. (1992). Inventing Causal Qualitative Models: A Tool for Experimental Research. In Proceedings of the Fifth Australian Conference on Artificial Intelligence. Hobart.
  22. Sammut, C. (1992). Automatically Constructing Control Systems by Observing Human Behaviour. In S. Muggleton (Ed.), Second International Inductive Logic Programming Workshop. Tokyo.
  23. Sammut, C. (1992). Behavioural clones: combining cognitive science and technology. In Proceedings of the 1993 Australian Cognitive Science Conference. Melbourne.
  24. Sammut, C., Hurst, S., Kedzier, D. and Michie, D. (1992). Learning to Fly. In D. Sleeman and P. Edwards (Eds.), Proceedings of the Ninth International Conference on Machine Learning. Aberdeen: Morgan Kaufmann.
  25. Sammut, C. A. (1992). The Automatic Construction of Control Systems by Induction. In I. Bratko (Ed.), ISSEK'92. Lake Bled.
  26. Sammut, C. A. (1992). Acquiring Expert Knowledge by Learning from Recorded Behaviours. In Japanese Knowledge Aquisition Workshop. Osaka.
  27. Mahidadia, A., Sammut, C. and Compton, P. (1993). Building and Maintaining Causal Theories Using Inductive Logic Programming. In 6th Australian Joint Conference on Artificial Intelligence. Melbourne, Australia.
  28. Michie, D. and Sammut, C. (1993). Machine learning from real-time input-output behaviour. In Proceedings of the International Conference on Design to Manufacture in Modern Industry (pp. 363-369). Bled, Solvenia.
  29. Mulholland, M., Preston, P., Sammut, C., Hibbert, B. and Compton, C. (1993). An Expert System for Ion Chromatography Developed using Machine Learning and Knowledge in Context. In Proceedings of the Sixth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems. Edinburgh.
  30. Sammut, C. (1993). The Origins of Inductive Logic Programming: A Prehistoric Tale. In S. Muggleton (Ed.), Third International Workshop onf Inductive Logic Programming (pp. 127-147). Bled, Slovenia.
  31. Sammut, C. and Zrimec, T. (1993). Applications of induction in pilot training. In P. Langley and Y. Kodratoff (Eds.), ECML-93 Workshop on Practical Applications of Machine Learning. Vienna.
  32. Amin, A., Chen, C. P., Sammut, C. and Sum, K. C. (1994). Learning to Recognise Hand-printed Chinese Characters using Inductive Logic Programming. In S. Wrobel (Ed.), Fourth International Workshop on Inductive Logic Programming (Vol. 237, pp. 263-272). Bonn, Germany: Gesellschaft für Mathematik und Datenverarbeitung MBH.
  33. Esmaili, N., Mann, G. A. and Sammut, C. (1994). Navigation learning by a mobile robot. In Iranian Conference on Electrical Engineering (pp. 142-150).
  34. Mahidadia, A., Compton, P. and Sammut, C. (1994). Helping Researchers To Construct Scientific Models: A Tool From Inductive Logic Programming. In 4th Japanese Knowledge Acquisition for Knowledge-Based Systems Workshop. Tokyo.
  35. Mahidadia, A., Sammut, C. and P.Compton. (1994). Unfolding Learning. In N. E. Fuchs and G. Gottlob (Eds.), Proceedings of the Tenth Logic Programming Workshop, WLP 94 (Vol. Technical Report 94/10, pp. 165-168). Zurich: Institut für Informatik der Universität Zürich.
  36. Bratko, I., Urbancic, T. and Sammut, C. (1995). Behavioural Cloning: Phenomena, Results and Problems. In D. Brandt and T. Martin (Eds.), IFAC Automated Systems Based on Human Skill. Berlin, Germany: Pergamon.
  37. Esmaili, N., Shirazi, G. M. and Sammut, C. A. (1995). Man-machine cooperation for learning to control dynamic systems. In IEEE International Conference on Systems, Man and Cybernetics. Vancouver.
  38. Esmaili, N., Shirazi, G. M. and Sammut, C. A. (1995). Behavioural cloning in control of a dynamic system. In IEEE International Conference on Systems, Man and Cybernetics. Vancouver.
  39. Shirazi, G. M. and Sammut, C. (1995). An Incremental Method for Learning to Control Dynamic Systems. In The Machine Learning Workshop of the 1995 International Joint Conference on Artificial Intelligence (pp. 139-175). Montreal, Canada.
  40. Squires, B. and Sammut, C. (1995). Automatic Speaker Recognition: An Application for Machine learning. In A. Prieditis and S. J. Russel (Eds.), Twelfth International Conference on Machine Learning (pp. 515-521). Tahoe City, California: Morgan Kaufmann.
  41. Ziino, D., Amin, A. and Sammut, C. (1995). Recognition of Hand Printed Latin Characters Using Machine Learning. In Third International Conference on Document Analysis and Recognition (pp. 1098-1102). Montreal: IEEE Computer Society.
  42. Zrimec, T. and Sammut, C. (1995). Medical image understanding system. In J. Kocijan and R. Karba (Eds.), IFAC Workshop on Artificial Intelligence in Real-Time Control (pp. 201-206). Bled, Slovenia.
  43. Zrimec, T. and Sammut, C. (1995). Knowledge representation for model-based image processing in medicine. In Eighth International Conference on Industrial Engineering Applications of Artificial Intelligence and Expert Systems (pp. 427-433). Melbourne, Australia: ACM.
  44. Bain, M., Sammut, C., Sharma, A. and Shepherd, J. (1996). ReDuce: Automatic structuring and compression in relational Databases. In MLnet Workshop on Data Mining with Inductive Logic Programming (pp. 41-52).
  45. Sammut, C. (1996). Inductive Logic Programming and Background Knowledge. In K. Furukawa (Ed.), Japanese Workshop on Inductive Logic Programming. Sapporo, Japan.
  46. Sammut, C. (1996). Using background knowledge to build multistrategy learners. In R. S. Michalski and J. Wneck (Eds.), Third International Workshop on Multistrategy Learning. Harper's Ferry, WV.
  47. Sammut, C. (1996). Learning the structure of tacit skills. In K. Furukawa (Ed.), Keio international Workshop on the Verbalisation of Tacit Knowledge using Inductive Inference (pp. 5-10). Keio University, Japan.
  48. Sammut, C. (1996). Inductive logic programming and multistrategy learning. In K. Furukawa (Ed.), Japanese Workshop on Inductive Logic Programming (pp. 105-111). Sapporo, Japan.
  49. Urbancic, T., Bratko, I. and Sammut, C. (1996). Learning models of control skills: phenomena, results and problems. In 13th IFAC World Congress (pp. L 391-396). San Francisco.
  50. Amin, A., Kim, S.-G. and Sammut, C. (1997). Hand Printed Chinese Character Recognition via Machine Learning. In Proceedings of the 4th International Conference Document Analysis and Recognition (ICDAR '97) (pp. 190-194). Ulm, Germany: IEEE Computer So.
  51. Sammut, C. (1997). Teaching AI with Bots. In AI'97 Workshop on Teaching in Artificial Intelligence (pp. 1-8). Perth.
  52. Sammut, C. (1997). A multistrategy approach to learning control from human skills. In D. Brandt (Ed.), 6th IFAC Conference on Automated Systems Based on Human Skill (pp. 31-34). Kranjska Gora, Slovenia.
  53. Shiraz, G. M. and Sammut, C. (1997). Learning to pilot an aircraft. In Joint Pacific Asian Conference on Expert Systems/Singapore International Conference on Intelligent Systems. Singapore.
  54. Zrimec, T. and Sammut, C. (1997). Knowledge Acquisition for Medical Image Understanding. In Australian Knowledge Acquisition Workshop (pp. 7-1 - 7-11). Perth.
  55. Harries, M. B., Horn, K. and Sammut, C. (1998). Learning in time-ordered domains with hidden changes incontext. In ICML-98/AAAI-98 Joint Workshop in Predicting the Future: AI Approaches toTime-Series Analysis. Madison, Wisconsin.
  56. Sammut, C. (1998). Prolog, Refinements and RLGG's. In D. Page (Ed.), Proceedings of the Eighth International Conference on Inductive Logic Programming (pp. 225-235). Madison, Wisconsin: Springer.
  57. Sammut, C. and Zrimec, T. (1998). Learning to classify X-ray images using relational learning. In C. Nedellec and C. Rouveirol (Eds.), Machine Learning; ECML-98 (pp. 55-60). Chemnitz, Germany: Springer-Verlag.
  58. Shiraz, G. M. and Sammut, C. (1998). Acquiring control knowledge from examples using Ripple-down rules and machine Learning. In Eleventh Workshop on Knowledge Acquisition, Modelling and Management (KAW'98). Banff, Canada.
  59. Pearce, A., Goss, S. and Sammut, C. (1999). Simulation as an Environment for the Knowledge Acquistion of Procedural Expertise. In G. Tuder (Ed.), Proceedings of the Fourth International SimTec Conference. Melbourne.
  60. Kadous, M. W. and Sammut, C. (2002). Mobile Conversational Characters. In Workshop on Virtual Conversational Characters in HF2002 Human Factors Conference. Melbourne.
  61. Gupta, A., Anastasakos, A. and Sammut, C. (2003). MMIF: A Modular Architecture for Multimodal Integration. In First Indian International Conference on Artificial Intelligence. Hyderabad, India.
  62. Isaac, A. and Sammut, C. (2003). Goal-directed Learning to Fly. In T. Fawcett and N. Mishra (Eds.), Proceedings of the Twentieth International Conference on Machine Learning (pp. 258-265). Washington, D.C.
  63. Sammut, C. (2003). Robot Soccer: Science or just fun and games? In T. Godeon and L. C. C. Fung (Eds.), Proceedings of the Australian Joint Conference on Artificial Intelligence (pp. 12-23). Perth: Springer.
  64. Kadous, M. W. and Sammut, C. (2004). Constructive Induction for Classifying Multivariate Time Series. In European Conference on Machine Learning (pp. 192-204). Pisa.
  65. Kadous, W. and Sammut, C. (2004). MICA: Pervasive Middleware for Learning, Sharing and Talking. In Perware'04: Middleware Support for Pervasive Computing Workshop at the 2nd Conference on Pervasive Computing (pp. 176-180). Orlando, Florida.
  66. Mohammed Waleed Kadous and Sammut, C. (2004). InCA: A Mobile Conversational Agent. In C. Zhang, H. W. Guesgen and W. K. Yeap (Eds.), 8th Pacific Rim International Conference on Artificial Intelligence (pp. 644 - 653). Auckland, New Zealand: Springer.
  67. Morales, E. and Sammut, C. (2004). Learning to Fly by Combining Reinforcement Learning with Behavioural Cloning. In R. Greiner and D. Schuurmans (Eds.), Twenty First International Conference in Machine Learning (pp. 598-605). Banff: ACM Press.
  68. Potts, D. and Sammut, C. (2004). Online nonlinear system identification in high dimensional environments. In N. Barnes and D. Austin (Eds.), Proceedings of the Australasian Conference on Robotics and Automation. Canberra, Australia.
  69. Sammut, C. (2004). Applying Behavioural Cloning to Robotics. In Soft Computing and Intelligent Systems: IEEE Press.
  70. Suc, D., Bratko, I. and Sammut, C. (2004). Learning to Fly Simple and Robust. In European Conference on Machine Learning (pp. 407-418). Pisa.
  71. D'Este, C. and Sammut, C. (2005). Active Object Discovery for Communicating with Humans. In C. Sammut (Ed.), Australasian Conference on Robotics and Automation (7 pages). Sydney: Australian Robotics and Automation Association.
  72. Kadous, M. W., Sheh, R. K.-M. and Sammut, C. (2005). CASTER: A Robot for Urban Search and Rescue. In Claude Sammut (Ed.), Australasian Conference on Robotics and Automation (10 pages). Sydney: Australian Robotics and Automation Association.
  73. Pham, K. C. and Sammut, C. (2005). RDRVision - Learning vision recognition with Ripple Down Rules. In Claude Sammut (Ed.), Australasian Conference on Robotics and Automation (pp. 7 pages). Sydney: Australian Robotics and Automation Association.
  74. Kadous, M. W., Sheh, R. and Sammut, C. (2006). Controlling Heterogeneous Semi-autonomous Rescue Robot Teams. In 2006 IEEE International Conference on Systems, Man, and Cybernetic. Taipei.
  75. Kadous, W., Claude Sammut and Sheh, R. (2006). Autonomous Traversal of Rough Terrain Using Behavioural Cloning. In The 3rd International Conference on Autonomous Robots and Agents.
  76. Kadous, W., Sheh, R. and Sammut, C. (2006). Effective User Interface Design for Rescue Robotics. In Human-Robot Interaction. Salt Lake City, Utah, USA.
  77. Sheh, R., Jamali, N., Kadous, M. W. and Sammut, C. (2006). A Low-Cost, Compact, Lightweight 3D Range Sensor. In B. MacDonald (Ed.), Australasian Conference on Robotics and Automation 2006. Auckland: Australian Association for Robotics and Automation.
  78. Brown, S., & Sammut, C. (2007). Tool Use and Learning in Robots. In M. Srinivasan & M. Dunbabin (Eds.), Australasian Conference on Robotics and Automation, Brisbane.
  79. Rudzyn, B., Kadous, W. and Sammut, C. (2007). Real time robot audition system incorporating both 3D sound source localisation and voice characterisation. In International Conference on Robotics and Automation.
  80. Sammut, C. Kadous, W., & Sheh, R. (2007). Learning to Drive Over Rough Terrain. In K. Furukawa (Ed.), In International Symposium on Skill Science, Tokyo.
  81. Sheh, R., Kadous, M.W., Sammut, C., & Hengst, B. (2007). Extracting Terrain Features from Range Images for Autonomous Random Stepfield Traversal. In D. Nardi (Ed.), IEEE International Conference on Safety, Security and Rescue Robotics, Rome.
  82. Yik, T.F., & Sammut, C. (2007). Trial-and-Error Learning of a Biped Gait Constrained by Qualitative Reasoning. In M. Srinivasan & M. Dunbabin (Eds.), Australasian Conference on Robotics and Automation, Brisbane.
  83. N. Jamali and C. Sammut. Texture recognition by tactile sensing. In Australasian Conference on Robotics and Automation, 2009.
  84. R. Sheh, A. Milstein, M. McGill, R. Saleh, B. Hengst, and C. Sammut. Semi-autonomous robots for robocup rescue. In Australasian Conference on Robotics and Automation, 2009.
  85. N. Jamali and C. Sammut. Material Classification by Tactile Sensing using Surface Textures. In International Conference on Robotics and Automation, 2010.