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Multi-objective autonomous vehicle navigation in the presence of cooperative and adversarial moving contacts

机译:在合作和对抗运动触点存在下的多目标自主车辆导航

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Effective control of autonomous marine vehicles is a difficult problem that continues to increase in complexity as our aspirations and expectations become more ambitious. We discuss here two factors that lead this trend: the need to operate in environments with other moving vehicles, and the expectation that control reflect some sense of optimality where there is the opportunity and payoff for doing so. We present here a method for representing and solving multi-objective optimization problems suitable for controlling vehicles in such situations. This method is called Interval Programming (IvP).
机译:对自主船用车的有效控制是一个难题,继续增加复杂性,因为我们的愿望和期望变得更加雄心勃勃。我们在这里讨论了这两个因素,这呈现了这一趋势:需要在与其他移动车辆的环境中运营,并期望控制在有机会和交易的情况下反映某些最优性感。这里我们在此提供一种方法,用于表示和解决适用于在这种情况下控制车辆的多目标优化问题的方法。该方法称为间隔编程(IVP)。

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