Doctor of Philosophy in Computer Science - Cooperating Robots
  • 学历文凭

    Ph.D.

  • 专业院系

    机器人技术

  • 开学时间

  • 课程时长

  • 课程学费

    汇率提示

国际学生入学条件

The candidate will have completed a bachelor's degree at a regionally-accredited university or four-year college.
Official transcript of all previous college or university work
Successful applicants will usually have a grade point average (GPA) of at least 3.5 (on a 4.0 scale). Normally, no applicant will be considered who has less than a 3.0 or less than a B average in undergraduate computer science courses.
All GRE general scores are required by the School of Computing and Information Science. We do not require the subject test in computer science, although it may be submitted if desired.
International students will need to submit TOEFL (minimum 80), or Academic IELTS scores (with no score lower than 6.5 and a minimum average of 7.0).
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雅思考试总分

7.0

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  • 雅思总分:7
  • 托福网考总分:80
  • 托福笔试总分:160
  • 其他语言考试:Duolingo English Test - 105
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课程简介

The CoDA Project focuses on the intelligent control of groups of cooperating agents, such as autonomous underwater vehicles and other kinds of robots. In particular, CoDA concentrates on those multiagent systems (MAS) that are open systems, where agents can come and go over the lifetime of the system. For example, in an autonomous oceanographic sampling network (AOSN) tasked with long-term climate change monitoring, some AUVs will be expected to leave the system due to malfunction or being needed elsewhere, while others will arrive to replace them.<br>It is important that such a system be able to organize its available assets to efficiently carry out its mission, and that it be able to reorganize as its composition or its mission changes.<br>Two-level organization<br>CoDA takes the novel approach of using two organizations to balance flexibility with efficiency. When first deployed, the more intelligent agents contact each other to determine what assets the AOSN has and to plan how to best accomplish the mission. This is called the meta-level organization, or MLO. The MLO is very flexible, but not particularly efficient, its task is to design a task-level organization, or TLO, that can efficiently carry out the mission. When the situation changes, then the TLO can either adjust itself, or, if that is not possible, it can reinvoke the MLO to design a new TLO.<br>This project has several parts. First is the cooperation protocols and mechanisms needed for autonomous organization and reorganization. Second is the task assignment mechanism, which is based on constrained heuristic search. And third is a multi-fidelity simulation testbed that can simulate the overall system.<br>It is important to note that while the domain is autonomous oceanographi
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