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Imparting protean behavior to mobile robots accomplishing patrolling tasks in the presence of adversaries

机译:在敌手在场的情况下,将蛋白质行为赋予移动机器人完成巡逻任务

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摘要

Providing unpredictable trajectories for patrol robots is essential when coping with adversaries. In order to solve this problem we developed an effective approach based on the known protean behavior of individual prey animals-random zig-zag movement. The proposed bio-inspired method modifies the normal robot's path by incorporating sudden and irregular direction changes without jeopardizing the robot's mission. Such a tactic is aimed to confuse the enemy (e.g. a sniper), offering less time to acquire and retain sight alignment and sight picture. This idea is implemented by simulating a series of fictive-temporary obstacles that will randomly appear in the robot's field of view, deceiving the obstacle avoiding mechanism to react. The new general methodology is particularized by using the Arnold's cat map to obtain the timely random appearance and disappearance of the fictive obstacles. The viability of the proposed method is confirmed through an extensive simulation case study.
机译:在应对敌人时,为巡逻机器人提供不可预测的轨迹至关重要。为了解决这个问题,我们基于个体捕食动物的已知蛋白质行为-随机之字形运动,开发了一种有效的方法。拟议中的受生物启发的方法通过合并突然和不规则的方向变化来修改正常的机器人路径,而不会危害机器人的任务。这种策略旨在使敌人(例如狙击手)迷惑,提供更少的时间来获取和保留瞄准具和瞄准镜。通过模拟一系列会暂时出现在机器人视场中的虚拟假想障碍物来实现这一想法,从而说明了避障机制会做出反应。通过使用Arnold的猫图来具体化新的通用方法,以获取虚拟障碍物的及时随机出现和消失。通过广泛的仿真案例研究,证实了该方法的可行性。

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