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Provably safe navigation for mobile robots with limited field-of-views in unknown dynamic environments

机译:可用于移动机器人的可防止安全导航,其在未知的动态环境中具有有限的视野视野

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This paper addresses the problem of navigating a mobile robot with a limited field-of-view in a unknown dynamic environment. In such a situation, absolute motion safety, i.e. such that no collision will ever take place whatever happens, is impossible to guarantee. It is therefore settled for a weaker level of motion safety dubbed passive motion safety: it guarantees that, if a collision takes place, the robot will be at rest. Passive motion safety is tackled using a variant of the Inevitable Collision State (ICS) concept called Braking ICS, i.e. states such that, whatever the future braking trajectory of the robot, a collision occurs before it is at rest. Passive motion safety is readily obtained by avoiding Braking ICS at all times. Building upon an existing Braking ICS-Checker, i.e. an algorithm that checks if a given state is a Braking ICS or not, this paper presents a reactive collision avoidance scheme called PASSAVOID. The main contribution of this paper is the formal proof of PASSAVOID's passive motion safety. Experiments in simulation demonstrates how PASSAVOID operates.
机译:本文解决了在未知动态环境中使用有限的视野导航移动机器人的问题。在这种情况下,绝对运动安全性,即无论发生任何发生的情况,都不会发生碰撞,是不可能保证的。因此,它的动作安全水平较弱,被带动的被动运动安全性:它保证,如果发生碰撞,机器人将静止。使用称为制动IC的不可避免的碰撞状态(IC)概念的变型来解决被动运动安全性,即状态,使得无论机器人的未来制动轨迹如何,在其休息之前发生碰撞。通过始终避免制动IC,容易获得被动运动安全性。在现有制动ICS-Checker上构建,即检查给定状态是否是制动IC的算法,本文提出了一种称为广域瓦的反应碰撞避免方案。本文的主要贡献是Passvoid被动运动安全的正式证明。仿真实验表明了广域景观如何运作。

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