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Human gait requires both haptic and visual feedback to generate and control rhythmic movements, and navigate environmental obstacles. Current lower extremity wearable exoskeletons that restore gait to individuals with paraplegia due to spinal cord injury rely completely on visual feedback to generate limited pre-programmed gait variations, and generally provide little control by the user over the...
Intelligent robot such as Unmanned Ground Mobile Robot or Vehicle is a kind of automatic equipment without a manual operation to complete the task. This paper presents a method of trajectory planning for intelligent robots based on the ant colony algorithm under an environment with obstacles. The robot can autonomously avoid obstacles from the starting point to reach the target point during maneuver...
In consider of docking task of AUV and underwater moving platform, an AUV tracking controller is designed. In this controller, target trajectory is calculated to determine AUV expected velocity and heading angle, during which, Lyapunov stability law is followed. An AUV heading angle and velocity controller is designed based on active disturbance rejection controller (ADRC) considered the perturbation...
The regenerative comparator circuit which lies at the heart of A/D conversion, slicer circuits, and memory sensing, is unstable, time-varying, nonlinear, and with multiple equilibria. That does not mean, as this paper shows, that it cannot be understood with simple equivalent circuits that reveal its dynamics completely, and enable it to be designed to specifications on static and dynamic offset and...
Normal gait needs both proprioceptive and visual feedback to the nervous system to effectively control the rhythmicity of motor movement. Current preprogrammed exoskeletons provide only visual feedback with no user control over the foot trajectory. We propose an intuitive controller where hand trajectories are mapped to control contralateral foot movement. Our study shows that proprioceptive feedback...
The trajectory planning of Unmanned Aerial Vehicle (UAV) and Aerial Robots generally refers to a series of optimization problems. This paper presents a method of trajectory planning and design for UAV based on the A* algorithm. Using grids to process the trajectory path planning of UAV under the environment with presence of obstacles, and then search the shortest path from the initial point to the...
Trajectory planning of robots is not only an important research field of robotics, but also an challenging combination of artificial intelligence and robotics. Trajectory planning is a key technology of Unmanned Aerial Vehicle (UAV). It is also a prerequisite for autonomous navigation of UAV. Under the static environment distributing of obstacles, seeking a shortest path from the starting point to...
This paper presents a method of trajectory planning and design for Unmanned Aerial Vehicle (UAV) based on the A∗ algorithm. Using grids to process the trajectory path planning of UAV under the environment with presence of obstacles, and then find the shortest path from the initial point to the target point based on rasterized environment using A∗ algorithm. The simulation of trajectory planning is...
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