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Ba-Viet Ngo and Thanh-Hai Nguyen
A semi-automatic wheelchair allows disabled people to possibly control in an indoor environment with obstacles and targets. The paper proposes an EEG-based control system for the wheelchair based on a grid map designed to allow disabled people to reach a...
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Gyula Simon and László Sujbert
Despite the enormous technical progress seen in the past few years, the maturity of indoor localization technologies has not yet reached the level of GNSS solutions. The 23 selected papers in this special issue present recent advances and new development...
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Chen-Huan Pi, Wei-Yuan Ye and Stone Cheng
In this paper, a novel control strategy is presented for reinforcement learning with disturbance compensation to solve the problem of quadrotor positioning under external disturbance. The proposed control scheme applies a trained neural-network-based rei...
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Francisco Martín, Fernando González, José Miguel Guerrero, Manuel Fernández and Jonatan Ginés
The perception and identification of visual stimuli from the environment is a fundamental capacity of autonomous mobile robots. Current deep learning techniques make it possible to identify and segment objects of interest in an image. This paper presents...
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Liqiang Zhang, Yu Liu and Jinglin Sun
Pedestrian navigation systems could serve as a good supplement for other navigation methods or for extending navigation into areas where other navigation systems are invalid. Due to the accumulation of inertial sensing errors, foot-mounted inertial-senso...
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