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Открытый симулятор для робототехнических систем — Gazebo

Дербан, А. Н., Бусько, А. М.

Открытый симулятор для робототехнических систем — Gazebo

Multi-Robot Control for Adaptive Caging and Tracking of a Flood Area

Bai Yang, Svinin Mikhail, Magid Evgeni Arkadevich

A vision-based robust adaptive control for caging a flood area via multiple UAVs

Ma J., Guo D., Bai Y., Svinin M., Magid E.

. The proposed strategy has been verified through simulations under the ROS/Gazebo environment.

Multi-Robot Control for Adaptive Caging and Tracking of a Flood Area

Bai Y., Svinin M., Magid E.

and adaptive vision-based tracking problems. The feasibility of the algorithm is verified under simulations

Разработка процедуры автономной параллельной парковки мобильного робота Unior

Имамеев Динир Тагирович, Лавренов Роман Олегович, Сагитов Артур Газизович, Шабалина Ксения Сергеевна, Магид Евгений Аркадьевич, Martinez-Garcia Edgar A., Su Kuo-Lan

валидацию в симуляторе Gazebo.

Partially unknown environment exploration algorithm for a mobile robot

Zakiev A., Lavrenov R., Magid E., Svinin M., Matsuno F.

for simulations in Gazebo environment and for the real robot control. Our method demonstrated better results

Spectrum and AI-based analysis for a flight environment and virtual obstacles avoidance using potential field method for path control

Shahoud, Ayham, Shashev, Dmitriy V., Shidlovskiy, Stanislav V.

environment consisting of a Robot Operating System (ROS), Gazebo simulator, and IRIS drone model. Results show

Prioritizing Tasks Within a Robotic Transportation System for a Smart Hospital Environment

Safin R., Lavrenov R., Tsoy T., Magid E., Svinin M., Roy S.D., Saha S.K.

using the Gazebo simulator. The experiments confirmed that using various task priorities shorten a path

Visual navigation and path tracking using street geometry information for image alignment and servoing

Shahoud, Ayham, Shashev, Dmitriy V., Shidlovskiy, Stanislav V.

simulator Gazebo, and IRIS drone model. The results prove the suggested system efficiency with a 1.4 m

Artificial intelligence based framework for robotic search and rescue operations conducted jointly by international teams

Magid E., Pashkin A., Simakov N., Abbyasov B., Suthakorn J., Svinin M., Matsuno F.

interaction protocols development and the system modeling within robot operating system’s Gazebo environment.

Страница 5 из 1038