Mobile robot navigation

About: Mobile robot navigation is a research topic. Over the lifetime, 14713 publications have been published within this topic receiving 263092 citations.

Evaluating the human-machine interface to vehicle navigation systems as an example of ubiquitous computing

Abstract: In-vehicle navigation systems are an example of ubiquitous computing, where the computing facility is embedded in an everyday object (car) for an everyday task (driving). The maturing navigation systems market of the last 10 years has prompted academic and commercial research into the human?machine interface (HMI) for these systems. A significant body of research now exists in this specialized area and a contribution has been made towards guidelines for interface design. This paper presents an overview of evaluation methods used to date (in terms of context of use, techniques, measures and evaluators) and the pros and cons of the different approaches. It ends with a discussion of how the resulting knowledge can assist in the evaluation of other ubiquitous technologies.

Apparatus and method for switching navigation mode between vehicle navigation mode and personal navigation mode in navigation device

Abstract: Provided is an apparatus and method for switching a navigation mode between a vehicle navigation mode and a personal navigation mode in a navigation device supporting vehicle navigation and personal navigation. Switching between the vehicle navigation mode and the personal navigation mode is performed according to whether the navigation device is mounted in a navigation device holder, whether a GPS speed provided by a GPS receiver is higher than a predetermined speed, and whether a step is detected using an output of an accelerometer. Since mode switching between the vehicle navigation mode and the personal navigation mode is automatically performed, a user does not need to manually perform mode switching.

Supervisory Control-Based Navigation Architecture: A New Framework for Autonomous Robots in Industry 4.0 Environments

Abstract: Industry 4.0 is characterized by an increasing dependence on automation and interconnection of systems due to the need for more efficient, autonomous, and customizable processes, and so, mobile robot navigation becomes an important tool. In this paper, we present a general methodology for mobile robot navigation in industrial environments in which the open-loop behavior of the robot and the specifications are based on automata. We build a modular supervisor, which is the conjunction of two supervisors: the first one that enforces the robot to follow the path defined by a planner and the second one that guarantees the satisfaction of the specifications such as prevention of collisions and task and movement management. The proposed navigation architecture allows decentralized implementation, in which the modular supervisor is embedded in the mobile robot, whereas the planner runs in an external agent. Such a feature makes the adaptation of the proposed navigation architecture to different environments easy. The navigation architecture proposed in this paper is illustrated by means of a simulation in a hypothetical environment that resembles a smart factory.

Localization and Navigation Assisted by Networked Cooperating Sensors and Robots

Abstract: In this paper we discuss how a network of sensors and robots can cooperate to solve important robotics problems such as localization and navigation. We use a robot to localize sensor nodes, and we then use these localized nodes to navigate robots and humans through the sensorized space. We explore these novel ideas with results from two large-scale sensor network and robot experiments involving 50 motes, two types of flying robot: an autonomous helicopter and a large indoor cable array robot, and a human-network interface. We present the distributed algorithms for localization, geographic routing, path definition and incremental navigation. We also describe how a human can be guided using a simple hand-held device that interfaces to this same environmental infrastructure.

Adaptive navigation of mobile robots with obstacle avoidance

Abstract: A local navigation technique with obstacle avoidance, called adaptive navigation, is proposed for mobile robots in which the dynamics of the robot are taken into consideration. The only information needed about the local environment is the distance between the robot and the obstacles in three specified directions. The navigation law is a first-order differential equation and navigation to the goal and obstacle avoidance are achieved by switching the direction angle of the robot. The effectiveness of the technique is demonstrated by means of simulation examples.