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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...
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...
With the rapid advancement of 3D visual technology, the technique of depth inference from a single image has received new attention. In this work, we present several single-image depth inference algorithms based on the blur degree in different regions in one image. We identify two major sources of image blur: camera defocus and atmospheric reflectance. The latter is also known as the haziness.We build...
In this paper, we address the problem of generating both visual and textual summaries for tagged image collections simultaneously. The visual and textual summaries consist of representative images and tags of the collection, which are selected through a proposed cross-media voting scheme. In the voting scheme, the likelihood of an image to be a representative is voted by not only other images but...
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