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.

A hierarchical strategy for path planning among moving obstacles (mobile robot)

Abstract: A method is presented for planning a path in the presence of moving obstacles. Given a set of polygonal moving obstacles, the authors focus on generating a path for a mobile robot that navigates in the two-dimensional plane. Their methodology is to include time as one of the dimensions of the model world. This enables the authors to regard the moving obstacles as being stationary in the extended world. For a solution to be feasible, the robot must not collide with any other moving obstacles, and, also, it must navigate without exceeding the predetermined range of velocity, acceleration, and centrifugal force. The authors investigate an appropriate model to represent the extend world for the path-planning task, and give a time-optimal solution using this model. >

Embedded Robotics: Mobile Robot Design and Applications with Embedded Systems

Abstract: This book presents a unique combination of mobile robots and embedded systems, from introductory to intermediate level. It is structured in three parts, dealing with embedded systems (hardware and software design, actuators, sensors, PID control, multitasking), mobile robot design (driving, balancing, walking, and flying robots), and mobile robot applications (mapping, robot soccer, genetic algorithms, neural networks, behavior-based systems, and simulation). The book is written as a text for courses in computer science, computer engineering, IT, electronic engineering, and mechatronics, as well as a guide for robot hobbyists and researchers.

Last-Mile Navigation Using Smartphones

Abstract: Although GPS has become a standard component of smartphones, providing accurate navigation during the last portion of a trip remains an important but unsolved problem. Despite extensive research on localization, the limited resolution of a map imposes restrictions on the navigation engine in both indoor and outdoor environments. To bridge the gap between the end position obtained from legacy navigation services and the real destination, we propose FollowMe, a "last-mile" navigation system to enable plug-and-play navigation in indoor and semi-outdoor environments. FollowMe exploits the ubiquitous, stable geomagnetic field and natural walking patterns to navigate the users to the same destination taken by an earlier traveler. Unlike existing localization and navigation systems, FollowMe is infrastructure-free, energy-efficient and cost-saving. We implemented FollowMe on smartphones, and evaluated it in a four-story campus building with a testing area of 2000m2. Our experimental results with 5 users show that 95% of spatial errors during navigation were 2m or less with at least 50% energy savings over a benchmark system.

System for personalized mobile navigation information

Abstract: A mobile navigation system implemented as an embedded system in a vehicle is easy to use, does not detract the driver's attention from the road, and limits the number of choices presented to the user of the navigation system according to a predetermined set of preferences or personalized information. Choices are filtered according to a set of driver preferences, according to the vehicle's geographic position, direction of motion, and the driver's intended itinerary. The itinerary, including intermediate stops, is calculated on an external computing system. The information is downloaded from the computing system to a memory device such as, for example, a smart card. The information is then transferred from the smart card to the embedded vehicle navigation system. In one application of the invention, a kiosk located at a car rental agency may be used to create and store personalized navigation information onto a smart card which the customer then inserts into the vehicle navigation system that is installed in the rental car.