Doctor of Philosophy in Computer Science - Creating Intelligent 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

Robots are becoming increasingly common, from the factory robots that build cars to the vacuuming robots that clean houses. For many applications, robots dont have to be very smart. However, for others, they must operate autonomously and be capable of intelligent, flexible behavior. Examples of this include ocean exploration, long-term data gathering in changing environments, space exploration, and some military applications.<br>Intelligent agents<br>Robots are one kind of agent, that is, an entity that senses its environment (e.g., via sensors), makes a decision about how to behave, and takes actions (e.g., via effectors). Artificial intelligence (AI) research on giving agents intelligence, then, will lead to smarter, more capable robots.<br>The Orca Project<br>The Orca Project focuses on intelligent agent control. The application domain is autonomous underwater vehicles (AUVs) and other real-world agents. Orca is a schema-based reasoner, which means that it brings to bear packets of procedural and contextual knowledge schemas to determine how best to behave for a given mission and situation. It is an adaptive reasoner, which means that it is able to plan, yet modify its plans when the situation changes.
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