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Human-robot collaboration for a shared mission

机译:人机协作实现共同任务

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We are interested in collaboration domains between a robot and a human partner, the partners share a common mission without an explicit communication about their plans. The decision process of the robot agent should consider the presence of its human partner. Also, the robot planning should be flexible to human comfortability and all possible changes in the shared environment. To solve the problem of human-robot collaboration with no communication, we present a model that gives the robot the ability to build a belief over human intentions in order to predict his goals, this model counts mainly on observing the human actions. We integrate this prediction into a Partially Observable Markov Decision Process (POMDP) model to achieve the most appropriate and flexible decisions for the robot.
机译:我们对机器人与人类合作伙伴之间的协作领域感兴趣,这些合作伙伴在没有明确交流其计划的情况下承担着共同的使命。机器人代理的决策过程应考虑其人工伙伴的存在。此外,机器人的计划应灵活适应人类的舒适度以及共享环境中的所有可能变化。为了解决没有通信的人机协作问题,我们提出了一个模型,该模型使机器人能够对人的意图建立信念以预测其目标,该模型主要依靠观察人的行为。我们将此预测整合到部分可观察的马尔可夫决策过程(POMDP)模型中,从而为机器人实现最合适,最灵活的决策。

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