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Fish catching experiments to overcome fish's intelligence by visual and prediction servoing in combination with chaos and random motions

机译:通过视觉和预测伺服与混沌和随机运动相结合的鱼类捕捞实验来克服鱼类的智力

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In our laboratory, to make the intelligent robot, we executed fish's catch experiment by a robot, and compared the intelligence of both : robot's catching ability and fish's escaping ability. When experimenting repeatedly on catching and releasing, the fish began to generate evasive actions, for example staying at corners of the pool in which the fish swims. We tried to catch the fish using some strategies such as prediction servoing, chaos orbits and random motions to overcome the fish's escaping strategies. In this paper, we used visual servoing and prediction servoing in combinations with chaos orbits and random motions of the net. We have compared the number of captured fish—the relative intelligence quotient of the fish by comparing with robot and evasive action. Then we have confirmed the effective strategies, and evaluated the results we have experimented this time.
机译:在我们的实验室中,为了制造智能机器人,我们通过机器人执行了鱼的捕获实验,并比较了两者的智能:机器人的捕获能力和鱼的逃逸能力。当反复进行捕获和释放的实验时,鱼开始产生逃避行为,例如停留在鱼游动的游泳池角落。我们尝试使用一些策略来捕获鱼,例如预测伺服,混沌轨道和随机运动,以克服鱼的逃避策略。在本文中,我们将视觉伺服和预测伺服与混沌轨道和网络的随机运动结合使用。我们已经比较了捕获的鱼的数量,即通过与机器人和躲避动作进行比较而得出的鱼的相对智商。然后,我们确定了有效的策略,并评估了这次实验的结果。

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