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NRI-Small: Contextually Grounded Collaborative Discourse for Mediating Shared Basis in Situated Human Robot Dialogue

NRI-Small: Contextually Grounded Collaborative Discourse for Mediating Shared Basis in Situated Human Robot Dialogue
NRI-Small:基于情境的协作话语,用于调解情境人类机器人对话中的共享基础
批准号:
1208390
负责人:
Joyce Chai
金额:
$95.7万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-10-01 至 2017-09-30

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中文摘要
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英文摘要
In human robot dialogue, although human partners and robots are co-present in a shared environment, they have completely mismatched capabilities in perceiving and reasoning about the environment. Their knowledge and representations of the shared world are drastically different. In addition, the shared environment is full of uncertainties and unexpected events. Humans and robots may have different capabilities in attending and responding to these uncertainties. All of these contribute to a misaligned perceptual basis between a human and a robot, which jeopardizes their collaborative activities and task performance. To enable situated human robot dialogue, a critical component is to develop techniques that will support mediating the shared perceptual basis for effective conversation and task completion. The objective of this National Robotics Initiative project is to develop a novel framework that tightly integrates high level language and dialogue processing with low level sensing and control systems and contextually grounds the collaborative discourse to mediate shared perceptual basis. By capturing grounded symbolic representations as well as continuous representations of the internal configuration of a robotic system and continuous information sensed from the changing environment, the framework allows the robot to promptly modify its execution without interrupting the on-going tasks. It further enables collaborations between humans and robots to mediate a shared perceptual basis and support efficient interaction in a highly dynamic environment.This project will provide insight as to how the misaligned perceptual basis between a human and a robot should be mediated through a collaborative process and how such a process should be integrated to produce intelligent and collaborative robot behaviors. The expected results will benefit many applications such as manufacturing, service, assistive technology, and search and rescue.
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NRI: INT: COLLAB: Collaborative Task Planning and Learning through Language Communication in a Human-Robot Team
NRI: INT: COLLAB: Collaborative Task Planning and Learning through Language Communication in a Human-Robot Team
  • 批准号:
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  • 项目类别:
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  • 负责人:
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RI: Small: Extending Verb Semantics with Causality towards Physical World
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  • 项目类别:
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  • 负责人:
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