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Challenges on the Application of Automated Planning for Comprehensive Geriatric Assessment Using an Autonomous Social Robot

机译:自动社会机器人对自动规划自动规划应用综合性老年评估的挑战

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Comprehensive Geriatric Assessment is a medical procedure to evaluate the physical, social and psychological status of elder patients. One of its phases consists of performing different tests to the patient or relatives. In this paper we present the challenges to apply Automated Planning to control an autonomous robot helping the clinician to perform such tests. On the one hand the paper focuses on the modelling decisions taken, from an initial approach where each test was encoded using slightly different domains, to the final unified domain allowing any test to be represented. On the other hand, the paper deals with practical issues arisen when executing the plans. Preliminary tests performed with real users show that the proposed approach is able to seamlessly handle the patient-robot interaction in real time, recovering from unexpected events and adapting to the users' preferred input method, while being able to gather all the information needed by the clinician.
机译:综合的老年评估是评估老年患者的身体,社会和心理状态的医疗程序。 其中一个阶段包括对患者或亲属进行不同的测试。 在本文中,我们提出了应用自动规划,以控制自动机器人帮助临床医生进行这种测试的挑战。 一方面,纸张侧重于从每个测试使用略微不同的域编码的初始方法所采取的建模决策,以允许表示任何测试的最终统一域。 另一方面,本文在执行计划时出现实际问题。 使用真实用户执行的初步测试表明,所提出的方法能够实时地无缝处理患者机器人交互,从意外事件中恢复并适应用户的首选输入方法,同时能够收集所需的所有信息 临床医生。

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