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Task-level programming of a robotic system using high level logic language

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The planning of robotics task is the main problem during the creation of the code for robot’s controller. In the initial phase of task designing, the program should be described on low level of details i.e. only the main actions should be concerned. This is so-called task-level approach and the program could be shown in the form of pseudo code, which is not standardised form of programming language. The analysis of the available literature points out that the formalised pseudocode could be successfully used for future processing in the field of mobile robotic, while the application in the field of stationary robotics is in early stage of development. However some task requires detailed analysis before creating the plan of program, because of complex task conditions. In such cases the operator could use the logic programming language, like Prolog, to solve the problem.
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  • Institute of Engineering Processes Automation and Integrated Manufacturing Systems
Bibliografia
  • 1. Lin F., Levesque H.J.: What robots can do: robot programs and effective achievability, ArtificalInteligence 101 (1998), pp. 201-226.
  • 2. Fikes, R., and Nilsson, N.: STRIPS: A New Approach to the Application of Theorem Proving to Problem Solving, Artificial Intelligence, 2(3/4):189-208, 1971.
  • 3. Levesque, H.: What is Planning in the Presence of Sensing?, In The Proceedings of the Thirteenth National Conference on Artificial Intelligence, AAAI-96, pp. 1139-1146, Portland, Oregon, 1996.
  • 4. Gilberg R., Forouzan B.: Data Structures: A pseudocode approach with C. Cengage Learning, 2004.
  • 5. Blank D., Kumar D., Meeden L., Yanco H., Pyro: A python-based versatile programming environment for teaching robotics, Journal on Educational Resources in Computing (JERIC) 4.3 (2004): 3
  • 6. Kim M., Bergman L., Lau T., Notkin D.: An Ethnographic Study of Copy and Paste Programming Practices in OOPL, Proceedings of the 2004 ACM-IEEE International Symposium on Empirical Software Engineering (ISESE 2004).
  • 7. Momtaz A.S.Z. et al.: A Practical Solution for Robotic Arm of the Towers of Hanoi Problem, International Journal of Computer and Electrical Engineering, 2011, 3.4: 583.
  • 8. Hoffmann, J.F.F.: The fast-forward planning system. AI magazine, 2001, 22.3: 57.
  • 9. Benjamin D. P., Lyons, D., Lonsdale, D.: Designing a robot cognitive architecture with concurrency and active perception. In Proceedings of the AAAI Fall Symposium on the Intersection of Cognitive Science and Robotics. Menlo Park, CA: AAAI Press, 2004
  • 10. Hähnel D., Burgard W., Lakemeyer G.: GOLEX—bridging the gap between logic (GOLOG) and a real robot. In: KI-98: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 1998. p. 165-176.
  • 11. Grosskreutz H.: Towards more realistic logic-based robot controllers in the GOLOG framework. 2002. PhD Thesis. Bibliothek der RWTH Aachen.
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