Roubieu Frédéric L, Serres Julien R, Colonnier Fabien, Franceschini Nicolas, Viollet Stéphane, Ruffier Franck
Aix-Marseille Université, CNRS, ISM UMR 7287, 13288, Marseille cedex 09, France.
Bioinspir Biomim. 2014 Sep;9(3):036003. doi: 10.1088/1748-3182/9/3/036003. Epub 2014 Mar 11.
Here we present the first systematic comparison between the visual guidance behaviour of a biomimetic robot and those of honeybees flying in similar environments. We built a miniature hovercraft which can travel safely along corridors with various configurations. For the first time, we implemented on a real physical robot the 'lateral optic flow regulation autopilot', which we previously studied computer simulations. This autopilot inspired by the results of experiments on various species of hymenoptera consists of two intertwined feedback loops, the speed and lateral control loops, each of which has its own optic flow (OF) set-point. A heading-lock system makes the robot move straight ahead as fast as 69 cm s(-1) with a clearance from one wall as small as 31 cm, giving an unusually high translational OF value (125° s(-1)). Our biomimetic robot was found to navigate safely along straight, tapered and bent corridors, and to react appropriately to perturbations such as the lack of texture on one wall, the presence of a tapering or non-stationary section of the corridor and even a sloping terrain equivalent to a wind disturbance. The front end of the visual system consists of only two local motion sensors (LMS), one on each side. This minimalistic visual system measuring the lateral OF suffices to control both the robot's forward speed and its clearance from the walls without ever measuring any speeds or distances. We added two additional LMSs oriented at +/-45° to improve the robot's performances in stiffly tapered corridors. The simple control system accounts for worker bees' ability to navigate safely in six challenging environments: straight corridors, single walls, tapered corridors, straight corridors with part of one wall moving or missing, as well as in the presence of wind.
在此,我们首次对仿生机器人与在类似环境中飞行的蜜蜂的视觉引导行为进行了系统比较。我们制造了一种微型气垫船,它能够在各种不同布局的走廊中安全行驶。我们首次在一个真实的物理机器人上实现了“横向光流调节自动驾驶仪”,这是我们之前在计算机模拟中研究过的。这种受各种膜翅目昆虫实验结果启发的自动驾驶仪由两个相互交织的反馈回路组成,即速度和横向控制回路,每个回路都有自己的光流(OF)设定点。一个航向锁定系统使机器人能够以高达69厘米每秒的速度直线前进,与一侧墙壁的间距小至31厘米,从而产生异常高的平移光流值(125°每秒)。我们发现我们的仿生机器人能够在笔直、逐渐变窄和弯曲的走廊中安全导航,并能对诸如一侧墙壁缺乏纹理、走廊存在逐渐变窄或非固定部分甚至相当于风干扰的倾斜地形等干扰做出适当反应。视觉系统的前端仅由两个局部运动传感器(LMS)组成,每侧一个。这个测量横向光流的简约视觉系统足以控制机器人的前进速度及其与墙壁的间距,而无需测量任何速度或距离。我们又增加了两个以±45°方向定向的LMS,以提高机器人在急剧变窄走廊中的性能。这个简单的控制系统解释了工蜂在六种具有挑战性的环境中安全导航的能力:笔直走廊、单壁、逐渐变窄的走廊、一侧墙壁部分移动或缺失的笔直走廊,以及有风的情况。