Miguel Aranda; Gonzalo L?pez-Nicol?s; Carlos Sag?? Control of Multiple Robots Using Vision Sensors 9783319578279

Варианты приобретения

Цена: 16769.00р.
Кол-во:
Наличие: Поставка под заказ. Есть в наличии на складе поставщика.
Склад Америка: Есть
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
При условии наличия книги у поставщика.

Добавить в корзину

в Мои желания

Автор: Miguel Aranda; Gonzalo L?pez-Nicol?s; Carlos Sag??
Название: Control of Multiple Robots Using Vision Sensors
ISBN: 9783319578279
Издательство: Springer
Классификация:

Электроника

Техника автоматического регулирования

Робототехника

Машинное зрение

Обработка изображений

ISBN-10: 3319578278
Обложка/Формат: Hardcover
Страницы: 187
Вес: 0.48 кг.
Дата издания: 22.05.2017
Серия: Advances in Industrial Control
Язык: English
Издание: 1st ed. 2017
Иллюстрации: 58 illustrations, color; 17 illustrations, black and white; xiii, 187 p. 75 illus., 58 illus. in color.
Размер: 244 x 165 x 18
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание:

This monograph introduces novel methods for the control and navigation of mobile robots using multiple-1-d-view models obtained from omni-directional cameras. This approach overcomes field-of-view and robustness limitations, simultaneously enhancing accuracy and simplifying application on real platforms. The authors also address coordinated motion tasks for multiple robots, exploring different system architectures, particularly the use of multiple aerial cameras in driving robot formations on the ground. Again, this has benefits of simplicity, scalability and flexibility. Coverage includes details of:

a method for visual robot homing based on a memory of omni-directional images;
a novel vision-based pose stabilization methodology for non-holonomic ground robots based on sinusoidal-varying control inputs;
an algorithm to recover a generic motion between two 1-d views and which does not require a third view;
a novel multi-robot setup where multiple camera-carrying unmanned aerial vehicles are used to observe and control a formation of ground mobile robots; and
three coordinate-free methods for decentralized mobile robot formation stabilization.

The performance of the different methods is evaluated both in simulation and experimentally with real robotic platforms and vision sensors.

Control of Multiple Robots Using Vision Sensors will serve both academic researchers studying visual control of single and multiple robots and robotics engineers seeking to design control systems based on visual sensors.

Control of Multiple Robots Using Vision Sensors, Miguel Aranda; Gonzalo L?pez-Nicol?s; Carlos Sag??