Task planning for human-robot interaction

R. Alami, A. Clodic, V. Montreuil, E. A. Sisbot, R. Chatila
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引用次数: 95

Abstract

Human-robot interaction requires explicit reasoning on the human environment and on the robot capacities to achieve its tasks in a collaborative way with a human partner.This paper focuses on organization of the robot decisional abilities and more particularly on the management of human interaction as an integral part of the robot control architecture. Such an architecture should be the framework that will allow the robot to accomplish its tasks but also produce behaviors that support its engagement vis-a-vis its human partner and interpret similar behaviors from him.Together and in coherence with this framework, we intend to develop and experiment various task planners and interaction schemes, that will allow the robot to select and perform its tasks while taking into account explicitly the constraints imposed by the presence of humans, their needs and preferences.We have considered a scheme where the robot plans for itself and for the human in order not only (1) to assess the feasibility of the task (at a certain level) before performing it, but also (2) to share the load between the robot and the human and (3) to explain/illustrate a possible course of action.
人机交互任务规划
人机交互需要对人类环境和机器人能力进行明确的推理,以与人类伙伴协作的方式完成任务。本文重点研究了机器人决策能力的组织,特别是作为机器人控制体系结构组成部分的人机交互管理。这样的架构应该是一个框架,它将允许机器人完成它的任务,同时也产生支持它与人类伙伴互动的行为,并从他那里理解类似的行为。与此框架一致,我们打算开发和实验各种任务规划器和交互方案,这将允许机器人选择和执行任务,同时明确考虑到人类的存在、他们的需求和偏好所施加的限制。我们考虑了一个方案,其中机器人为自己和人类计划,以便不仅(1)在执行任务之前评估任务的可行性(在一定水平上),而且(2)在机器人和人类之间分担负荷,(3)解释/说明可能的行动过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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