Agent Model and Reasoning Mechanism for Task-Aware in Virtual Assembly

Article Preview

Abstract:

Virtual Assembly (VA) is an advanced tool for assembly design. Current VA system lacks of intelligent decision support especially in assignment of assembly planning task. There are already some research to enhance the perception ability and intelligent support of VR. However, most of them are focusing on the auto mating or moving navigation, while the study on assembly task is few. The paper analyzed the task in virtual assembly and discussed the system level task as a main topic, which indicated that ‘work-flow’ was a suitably way to implement task aware. Therefore a BDI agent model for assembly task was proposed on the bases of work-flow and the architecture of it was given. After these, the reasoning mechanism was designed to support assembly task awareness.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 228-229)

Pages:

610-616

Citation:

Online since:

April 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] H.I. Connacher, S. Jayaram, K.W. Lyons: Virtual Assembly using Virtual Reality Techniques. Computer-Aided Design, Vol. 29 (1997) No. 8, pp.575-584.

DOI: 10.1016/s0010-4485(96)00094-2

Google Scholar

[2] Gao Zhan, Zhang Shuyou: An Allocation and Motion Navigator in Virtual Assembly Environment. China Mechanical Engineering, Vol. 13 (2002) No. 11, pp.901-904. (in Chinese).

Google Scholar

[3] Yang Rundang, Wu Dianliang: Research on Constraint-Based Virtual Assembly Technologies. Computer Integrated Manufacturing System, Vol. 12 (2006) No. 3, pp.413-419. (in Chinese).

Google Scholar

[4] Kockara, S. Hallic, T. Iqbal: Collision Detection: A Survey. Proc. International Conference on Systems, Man and Cybernetics (Canada, 2007). pp.4046-4051.

Google Scholar

[5] Cheng Cheng: Construction of Perception Mechanism in Virtual Assembly. Journal of Software, Vol. 13 (2002) No. 12, pp.2324-2330. (in Chinese).

Google Scholar

[6] Cheng Cheng: Research on Construction of Mating Perception in Virtual Assembly. Journal of Computer Research and Development, Vol. 39 (2002) No. 10, pp.1331-1336. (in Chinese).

Google Scholar

[7] C. Cheng, Z.L. Xu: Semantic Space Construction for Virtual Assembly. Proc. International Conference on Computer Science and Software Engineering (2008). Vol. 2, pp.1110-1113.

Google Scholar

[8] H. Wang: Assembly planning based on semantic modeling approach. Computers in Industry, Vol. 58 (2007) No. 3, pp.227-239.

Google Scholar

[9] Liu Zhenyu, Tan Jianrong, Zhang Shuyou: Research of Motion Guidance in Virtual Assembly Based on Semantics Recognition. Journal of Software, Vol. 13 (2002) No. 3, pp.382-389. (in Chinese).

Google Scholar

[10] Shao Xiaodong, Yin Lei, Lu Yuan: Rapid Assembling Approach Based on Assembly Features. Computer Integrated Manufacturing Systems, Vol. 13 (2007) No. 11. (in Chinese).

Google Scholar

[11] Shen Mei, Lei Zheshu, Zhang Tiechang. Generating Algorithm of Assembly Sequence Based on Assemlby-Feature. Journal of Engineering Graphics, (2001) No. 3. (in Chinese).

Google Scholar

[12] Tang Lin, Zhang Mengchun. Research on Automatic Assembly Based on Assembly Feature Modules. Machinery Design and Manufacture, (2007) No. 10. (in Chinese).

Google Scholar

[13] Montreal Que. Feature-based Assembly Model and Multi-Agents System Structure for Computer-aided Assembly. Proc. International Symposium on Assembly and Task Planning (1999).

DOI: 10.1109/isatp.1999.782927

Google Scholar

[14] Jin Yu, Hou Wenjun, Yang Fuxing. Context Perception Mechanism in Virtual Assembly Environment Based on the Multi-Agent. Journal of Donghua University, Vol. 36 (2010) No. 4, pp.366-370. (In Chinese).

Google Scholar

[15] Tiemeng Li, Wenjun Hou, Hao Pan. Put Context-Aware in Virtual Assembly: a Study of Ontology-Based Architecture and an Arithmetic. Proc. International Conference on Joint Conference on Pervasive Computing (Taiwan, China, 2009) Vol. 1, pp.503-506.

DOI: 10.1109/jcpc.2009.5420134

Google Scholar