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Exploration-based design synthesis o...
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Ali, Muhammad Muazzam.
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Exploration-based design synthesis of behavior-based autonomous robots.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Exploration-based design synthesis of behavior-based autonomous robots./
作者:
Ali, Muhammad Muazzam.
面頁冊數:
142 p.
附註:
Source: Dissertation Abstracts International, Volume: 55-11, Section: B, page: 5030.
Contained By:
Dissertation Abstracts International55-11B.
標題:
Engineering, Mechanical. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9509620
Exploration-based design synthesis of behavior-based autonomous robots.
Ali, Muhammad Muazzam.
Exploration-based design synthesis of behavior-based autonomous robots.
- 142 p.
Source: Dissertation Abstracts International, Volume: 55-11, Section: B, page: 5030.
Thesis (Ph.D.)--Colorado State University, 1994.
Behavior-based robot control is a relatively new, but accepted, concept for building autonomous robots. Several different kinds of proof-of-concept robots using the so-called subsumption architecture have been demonstrated. These robots have been shown to solve some fairly difficult tasks in unstructured and uncertain domains. The initial results are very promising, but much remains as to an underlying understanding for designing and implementing behavior-based robot control. Subsumption architecture utilizes a biological metaphor to build autonomous robots and relies upon an evolutionary-styled bottom up and incremental design approach to incorporate biological-like robustness into the robotic systems. This dissertation argues that evolution is not an engineering design practice. As such, a rational mapping between concept to implementation is necessary to effectively design and construct robust robots for real world applications.Subjects--Topical Terms:
783786
Engineering, Mechanical.
Exploration-based design synthesis of behavior-based autonomous robots.
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Behavior-based robot control is a relatively new, but accepted, concept for building autonomous robots. Several different kinds of proof-of-concept robots using the so-called subsumption architecture have been demonstrated. These robots have been shown to solve some fairly difficult tasks in unstructured and uncertain domains. The initial results are very promising, but much remains as to an underlying understanding for designing and implementing behavior-based robot control. Subsumption architecture utilizes a biological metaphor to build autonomous robots and relies upon an evolutionary-styled bottom up and incremental design approach to incorporate biological-like robustness into the robotic systems. This dissertation argues that evolution is not an engineering design practice. As such, a rational mapping between concept to implementation is necessary to effectively design and construct robust robots for real world applications.
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Contrasted with subsumption architecture, an exploration-based design synthesis approach is utilized in this dissertation. This approach is principled, well-practiced, and provides an inherently continuous process of understanding how to transform the Behavior-Based Robot Control concept into a systematic design methodology. Practicality of this approach is being verified by developing a control architecture for the Mars Micro-Rover with the attributes of a Behavior-Based robot.
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Exploration-based design synthesis has far-reaching implications when applied to the Behavior-Based Robot Control domain working knowledge. An immediate benefit is the ability to express this working knowledge formally, which provides a means to better understand and to address yet unknown areas of Behavior-Based Robot Control such as the complexity of mediation mechanisms or properties of emergent behaviors.
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