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Xin?an Gao, Xiaorong Guan, Yanlong Yang and Jingmin Zhang
The tracked-wheeled mobile robot has gained significant attention in military, agricultural, construction, and other fields due to its exceptional mobility and off-road capabilities. Therefore, it is an ideal choice for reconnaissance and exploration tas...
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Guangrong Chen and Liang Hong
Due to the high stability and adaptability, quadruped robots are currently highly discussed in the robotics field. To overcome the complicated environment indoor or outdoor, the quadruped robots should be configured with an environment perception system,...
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Yanxin Hu, Gang Liu, Zhiyu Chen and Jianwei Guo
In practical applications, the intelligence of wheeled mobile robots is the trend of future development. Object detection for wheeled mobile robots requires not only the recognition of complex surroundings, but also the deployment of algorithms on resour...
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Jordi Palacín, Elena Rubies and Eduard Clotet
Odometry is a simple and practical method that provides a periodic real-time estimation of the relative displacement of a mobile robot based on the measurement of the angular rotational speed of its wheels. The main disadvantage of odometry is its unboun...
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Mostafa Mo. Massoud, A. Abdellatif and Mostafa R. A. Atia
Omni-wheeled mobile robots (Omni WMRs) are commonly used in indoor navigation applications like surveillance, search and rescue, and autonomous transportation. They are always characterized by their versatility, mobility and high payload. This paper pres...
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Jonathan Hirata-Acosta, Javier Pliego-Jiménez, César Cruz-Hernádez and Rigoberto Martínez-Clark
The problem of leader-follower formation of a platoon of differential-drive wheeled mobile robots without using attitude measurements is addressed in this paper. Contrary to the position-distance approaches existing in the literature, the formation and c...
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Yiting Kang, Biao Xue and Riya Zeng
Wheeled mobile robots are widely implemented in the field environment where slipping and skidding may often occur. This paper presents a self-adaptive path tracking control framework based on a radial basis function (RBF) neural network to overcome slipp...
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Mamadou Doumbia and Xu Cheng
Currently, almost all robot state estimation and localization systems are based on the Kalman filter (KF) and its derived methods, in particular the unscented Kalman filter (UKF). When applying the UKF alone, the estimate of the state is not sufficiently...
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Xing Wu, Jorge Angeles, Ting Zou, Chao Sun, Qi Sun and Longjun Wang
Applying computer vision to mobile robot navigation has been studied for over two decades. One of the most challenging problems for a vision-based mobile robot involves accurately and stably tracking a guide path in the robot limited field of view under ...
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Maximilian Jaderson DE MELO,Mauricio BEGNINI,Heber Rabelo DA SILVA,Marcelo Christiano DA FRANÇA JÚNIOR
Pág. 27 - 42
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