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In this study, we have generated four active commands using hybrid electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) for quadcopter control in online environment. Mental arithmetic, left hand clench imagery, and left and right eye-movements are used to navigate the quadcopter. Mental arithmetic task (decoded by fNIRS from the prefrontal cortex) is used to move the quadcopter...
In this paper, a collision-free navigation method for multiple wheeled vehicles is investigated. The path tracking control utilizes kinematic representation. Moreover, a switching algorithm is implemented to attack the problem of obstacle avoidance. As the center point of the vehicle is used to navigate the vehicle to the goal position, two more points are used for the obstacle avoidance. These points...
In this paper, a collision-free navigation method for a group of autonomous wheeled vehicles is investigated. The position and orientation information of individual vehicles is transformed to navigation variables, which are the distance left to the goal position, the angle made by the orientation of the vehicle at the goal position and the vehicle-to-target (v-to-t) vector, and the angle made by the...
This paper presents a configuration control of a forklift vehicle using a camera-based vision system with limited angle-of-view (AOV). The configuration (i.e., position and orientation) of the vehicle is transformed to navigation variables, which are the distance left to the goal position, the angle made by the x-axis of the target coordinate and the vehicle-to-target (v-to-t) vector, and the angle...
This paper addresses a closed-loop control for a mobile robot in navigation. The sonar-based obstacle avoidance algorithm utilizes a region partition strategy by analyzing three forward sensory regions and finds out a navigable region candidate. A probabilistic motion model and the Monte Carlo method are used to estimate the robot pose. The supervisor inside the controller makes a decision to allow...
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