CISE Research Instrumentation: Ambiguity Resolution for Intelligent Systems Using a Cognitive Robot

这项研究仪器有助于电气工程和计算机科学系、心理学系以及语言和听觉系获得认知机器人(基础系统、手臂和手操纵器、双目色觉、激光测距仪、声音接收和解释以及声音生成)，使以下研究项目成为可能：-口语理解中的歧义解析，-语境驱动的主动机器人视觉中的歧义解析，-记忆系统中的歧义解析，以及-机器人推理和动作中的歧义解析以及手/手臂操作能力，将使多个认知子系统中歧义解决过程之间的可信交互研究成为可能，这些认知子系统包括语音和自然语言理解、场景解释、检索适当的记忆上下文以及机器人规划和动作执行的子系统。研究方法是将这些子系统的各种歧义消解过程的计算模型集成到认知机器人中，并通过观察认知机器人的行为来对其进行综合测试。这项研究的意义在于，一个子系统的歧义往往只能通过其他子系统的歧义解决能力来解决。因此，通过将认知机器人与其他研究项目的歧义解决能力相结合，这四个研究项目中的每个研究项目的歧义解决研究都将得到加强。由于人类毫不费力地解决歧义的能力似乎是智能的一个基本方面，解释这些子系统的歧义解决能力之间的相互作用可能具有非常重要的意义。

9818341Brown, Frank M.Agah, ArvinUniversity of KansasAmbiguity Resolution for Intelligent Systems Using a Cognitive RobotThis research instrumentation contributes to the acquisition, by the Departments of Electrical Engineering and Computer Science, Psychology, and Speech Language and Hearing, of a Cognitive Robot (base system, arm and hand manipulator, binocular color vision, laser ranger, sound reception and interpretation, and sound generation) enabling research projects in:- Ambiguity Resolution in Spoken Language Understanding,- Ambiguity Resolution in Context Driven Active Robot Vision,- Ambiguity Resolution within the Memory System, and- Ambiguity Resolution in Robot Reasoning and Actuation.The Cognitive Robot, with visual, speech, movement, and hand/arm manipulation capabilities, will enable research plausible interactions among the processes of ambiguity resolution in multiple cognitive subsystems including subsystems for speech and natural language understanding, scene interpretation, the retrieval of appropriate memory context, and robot planning and action execution. The research methodology is to integrate together computational models of these various ambiguity resolution processes of these subsystems into the Cognitive Robot and to test them in an integrated fashion by observing the behavior of the Cognitive Robot. The significance of this research lies in the fact that ambiguity in one subsystem can often only be resolved by the ambiguity resolution capabilities of the other subsystems. Thus, the study of ambiguity resolution in each of the four research projects using the Cognitive Robot will be enhanced by its integration with the ambiguity resolution capabilities of the others. Since the human capability for effortlessly resolving ambiguity seems to be a fundamental aspect of intelligence, an explication of the interactions among the ambiguity resolution capabilities of these subsystems may be highly significant.