Yunyi Li

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—We develop a mind control system for humanoid robot through a brain-computer-interface (BCI), consisting of a 32 channel electroencephalograph (EEG), a humanoid robot, and a CCD camera. We present two types of humanoid robots in the BCI control system: KT-X PC robot with 20 degrees of freedom (DOFs) or NAO H25 robot with 25 DOFs. The CCD camera takes video(More)
This paper develops a brain-computer-interface (BCI) based humanoid robot control system. The system consists of an electroencephalograph (EEG), a humanoid robot, and a CCD camera. The goal of our study is to control humanoid walking behavior through neural signals acquired by the 32 channel EEG. The humanoid robot is equipped with an onboard PC and has 20(More)
This article presents a strategy for identifying the source location of a chemical plume in near-shore oceanic environments where the plume is developed under the influence of turbulence, tides and waves. This strategy includes two modules: source declaration (or identification) and source verification embedded in a subsumption architecture. Algorithms for(More)
The understanding of how humans process information, determine salience, and combine seemingly unrelated information is essential to automated processing of large amounts of information that is partially relevant, or of unknown relevance. Recent neurological science research in human perception, and in information science regarding context-based modeling,(More)
In this research, we daveloped a swimming robot with a fluttering kick of two legs which can swim freely both on the surface of the water and under the water. We have established control methods for all kinds of motion of this robot. We considered a dynamic model with undulating fins, and this has been used to construct a dynamic model of a propulsion and(More)
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