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This paper presents a P300 model for controlling a humanoid robot with mind, including an off-line phase with a fixed trial number for training the model and an on-line phase with an adaptive strategy for generating commands to the humanoid robot. Our control scheme includes a procedure of acquiring P300 signals, topographical distribution analysis of P300 signals, and a classification approach to...
This paper proposes a pre-attentive visual segmentation method by using Jeffrey divergence based irregular pyramid, termed as “JIP” algorithm. The proposed JIP algorithm obtains a suboptimal labeling solution under the condition that the number of segments is not manually given. This algorithm models each node at higher pyramidal levels as a probabilistic distribution, based on which Jeffrey divergence...
This paper presents a simple strategy for perception-action of robots in indoor environments using Hierarchical Temporal Memory which is the theory of modeling the rationale of the neocortex. The main idea of the present study is that the input of the HTM network is images of objects that robot perceives in environment, and the output of HTM network is action, such as moving along the wall, moving...
To improve the living conditions of the amputees, researchers have made various sEMG prosthetic hands. The recognition method of sEMG influences the performance of prosthetic hands greatly. Taking the advantages but mediate the disadvantages of previous studies, this paper puts forward a pattern recognition method to recognize the sEMG signals fast and steadily. This method combines the conventional...
Extreme Learning Machine (ELM) for Single-hidden Layer Feedforward Neural Network (SLFN) has been attracting attentions because of its faster learning speed and better generalization performance than those of the traditional gradient-based learning algorithms. However, it has been proven that generalization performance of ELM classifier depends critically on the number of hidden neurons and the random...
A Powered Knee Orthosis (PKO) was developed for the elderly and patients with disordered gait to regain normal walking. In order to enhance the PKO performance and reduce system complexity especially for people with muscle weakness in their knee joints, an algorithm named HIP-KNEE control is proposed. This algorithm is based on the analysis of kinematic gait model, and the desired knee joint angle...
Compared with Autonomous Underwater Vehicle driven by traditional screw propellers, robotic fish is characterized by some desired features as high maneuverability and low noise. The research on bionic robotic fish which is propelled by paired pectoral fins has been gradually becoming hotspot in the field of biomimetics and robotics. Based on the research of cownose ray, the profile curve of pectoral...
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