基于行为的MDP人的搜索

S. Mehdi, K. Berns
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引用次数: 2

摘要

动机——开发一种对家庭环境中的老年人进行认知搜索的方法,这将有助于接触居民以确定健康状况。研究方法——基于行为的马尔可夫决策过程(MDP)已被开发用于建立人类在家中的认知信息。通过仿真环境模拟人的存在,验证了所实现方法的有效性。设计——这个想法是为了让机器人能够理解什么时候需要它自己找到人类。为了完成这项任务,采用了基于行为的方法,其中行为表示查找人员的愿望,并且使用MDP确定查找人员的策略。研究局限性——已经开发了一个模拟环境,用于生成数据集和随后验证所实施的方法。这种模拟环境也提供了观察人类的自由,这是在真实场景中很难做到的。原创性/价值——该研究促进了开发基于行为的认知方法的需求,以在环境中发现人类。要点:使用学习方法和基于行为的架构可能有助于开发更好的认知机器人。
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Behaviour based searching of human using MDP
Motivation -- To develop a methodology for cognitive search of elderly person in home environment that will help in reaching the inhabitant to determine health situations. Research approach -- A behaviour based Markov decision process (MDP) has been developed to build up cognitive information of the human at home. A simulated environment was also created to simulate the presence of human and prove the validity of the approach implemented. Design -- The idea is to enable the robot to comprehend when it is required to find the human being on its own. To achieve this task, behaviour based approach has been adapted where behaviour represents the desire to find the human and the policy for finding human is determined using MDP. Research limitations -- A simulated environment has been developed for the generation of dataset and afterwards verification of the implemented methodology. This simulated environment also gives the liberty of observing the human being as many times as is required which in real scenario is difficult to accomplish. Originality/Value -- The research promotes the need of developing behaviour based cognitive approach for finding human being in the environment. Take away message -- Using learning methodology along with behaviour based architecture might help in developing better cognitive robots.
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