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Abstracting Vehicle Shape and Kinematic Constraints from Obstacle Avoidance Methods

机译:从避障方法中提取车辆形状和运动学约束

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Most obstacle avoidance techniques do not take into account vehicle shape and kinematic constraints. They assume a punctual and omnidirectional vehicle and thus they are doomed to rely on approximations when used on real vehicles. Our main contribution is a framework to consider shape and kinematics together in an exact manner in the obstacle avoidance process, by abstracting these constraints from the avoidance method usage. Our approach can be applied to many non-holonomic vehicles with arbitrary shape. For these vehicles, the configuration space is three-dimensional, while the control space is two-dimensional. The main idea is to construct (centred on the robot at any time) the two-dimensional manifold of the configuration space that is defined by elementary circular paths. This manifold contains all the configurations that can be attained at each step of the obstacle avoidance and is thus general for all methods. Another important contribution of the paper is the exact calculus of the obstacle representation in this manifold for any robot shape (i.e. the configuration regions in collision). Finally, we propose a change of coordinates of this manifold so that the elementary paths become straight lines. Therefore, the three-dimensional obstacle avoidance problem with kinematic constraints is transformed into the simple obstacle avoidance problem for a point moving in a two-dimensional space without any kinematic restriction (the usual approximation in obstacle avoidance). Thus, existing avoidance techniques become applicable. The relevance of this proposal is to improve the domain of applicability of a wide range of obstacle avoidance methods. We validated the technique by integrating two avoidance methods in our framework and performing tests in the real robot.
机译:大多数避障技术没有考虑车辆形状和运动学约束。它们假定是准时和全向的车辆,因此在实际车辆上使用时注定要依靠近似值。我们的主要贡献是通过从避免方法的使用中抽象出这些约束,在避障过程中以精确的方式一起考虑形状和运动学的框架。我们的方法可以应用于许多具有任意形状的非完整车辆。对于这些车辆,配置空间是三维的,而控制空间是二维的。主要思想是构造(随时以机器人为中心)由基本圆形路径定义的配置空间的二维流形。该歧管包含在避障的每个步骤都可以实现的所有配置,因此对于所有方法都是通用的。本文的另一个重要贡献是,对于任何机器人形状(即碰撞中的配置区域),该歧管中障碍物表示的精确演算。最后,我们建议更改此流形的坐标,以使基本路径变为直线。因此,对于没有任何运动学限制的二维空间中移动的点,将具有运动学约束的三维避障问题转换为简单的避障问题(避障的通常近似)。因此,现有的回避技术变得适用。该建议的相关性是为了提高各种避障方法的适用范围。我们通过在框架中集成两种避免方法并在真实机器人中执行测试来验证该技术。

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