Robotic Behavior based on Formal Grammars

§ Center for Scientific Research and Higher Education ...

Send Message

To: Author

Robotic Behavior based on Formal Grammars

Article Fingerprint

ReserarchID

E23ZD

Robotic Behavior based on Formal Grammars Banner

Key Research Insights

Synthesized scholarly intelligence & interactive research assistant
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu
Reading Preferences
Font Size
Line Spacing
Background
This converted HTML version may contain rendering inconsistencies. Please refer to the PDF for the authoritative version, or click here to provide feedback.

Abstract

Formal grammars, studied by N. Chomsky for the definition of equivalence with languages and models of computing, have been a useful tool in the development of compilers, programming languages, natural language processing, automata theory, etc. The words or symbols of these formal languages can denote deduced actions that correspond to specific behaviors of a robotic entity or agent that interacts with an environment. The primary objective of this paper pretend to represent and generate simple behaviors of artificial agents. Reinforcement learning techniques, grammars, and languages, as defined based on the model of the proposed system were applied to the typical case of the ideal route on the problem of artificial ant. The application of such techniques proofs the viability of building robots that might learn through interaction with the environment.

References

13 Cites in Article
  1. 1. S Russell,P Norvig (2009). Artificial Intelligence: A Modern Approach. Artificial Intelligence: A Modern Approach
  2. 2. Johnr. Koza (1992). Genetic programming as a means for programming computers by natural selection. Statistics and Computing, 4(2)
  3. 3. D Gamez,Z Fountas,A Fidjeland (2013). A neuronal controlled computer game avatar with humanlike behavior. Computational Intelligence and AI in Games, IEEE Transactions on, 5(1), 1-14.
  4. 4. J Briseño (2007). Learning human behavior from analyzing activities in virtual environments. MMI-Interaktiv, 12, 3-17.
  5. 5. Todd Hester,Michael Quinlan,Peter Stone (2010). Generalized model learning for Reinforcement Learning on a humanoid robot. 2010 IEEE International Conference on Robotics and Automation, 2369-2374.
  6. 6. Lizhong Gu,Jianbo Su (2006). Humanoid Robot Behavior Learning Based on ART Neural Network and Cross-Modality Learning. Lecture Notes in Computer Science, 447-450.
  7. 7. T Ogura,K Okada,M Inaba,H Inoue (2003). Behavior network acquisition in multisensory space for whole-body humanoid. Multisensor Fusion and Integration for Intelligent Systems, 317-322.
  8. 8. John Anderson,Daniel Bothell,Michael Byrne,Scott Douglass,Christian Lebiere,Yulin Qin (2004). An Integrated Theory of the Mind. Psychological Review, 111(4), 1036-1060.
  9. 9. F Martın,J Canas,C Agüero,E Perdices (2010). Behavior-based iterative component architecture for robotic applications with the NAO humanoid. En: XI Workshop de Agentes Fısicos
  10. 10. V Manikonda,P Krishnaprasad,J Hendler (1995). A motion description language and a hybrid architecture for motion planning with nonholonomic robots. Proceedings of 1995 IEEE International Conference on Robotics and Automation, 2, 2021-2028.
  11. 11. Neil Dantam,Mike Stilman (2013). The Motion Grammar: Analysis of a Linguistic Method for Robot Control. IEEE Transactions on Robotics, 29(3), 704-718.
  12. 12. J Hopcroft,J Ullman (1979). Introduction to Automata theory, Languages, and Computation. Introduction to Automata theory, Languages, and Computation
  13. 13. T Mitchell (1997). Molten carbonate fuel cell product development test. Final report, September 30, 1992--March 31, 1997. Molten carbonate fuel cell product development test. Final report, September 30, 1992--March 31, 1997, 45

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

J.L. Briseno, briseno1955. 2018. "Robotic Behavior based on Formal Grammars". Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 18 (GJCST Volume 18 Issue D2).

More Citation Formats

Download Citation

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
GJCST-D Classification I.2.9
Version of record

v1.2

Issue date
September 29, 2018

Language
English
Order Article Reprint
Experience in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

Article Matrices
Total Views: 2K
Total Downloads: 92
All Trends

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Robotic Behavior based on Formal Grammars

J.L. Briseno
J.L. Briseno Center for Scientific Research and Higher Education of Ensenada
<p>Center for Scientific Research and Higher Education of Ensenada</p>