The large space manipulator which is assembled on the space station will bring attitude reactions to the space station in moving or assembling tens of tons objects process. To resolve this problem, a new Cartesian tra...
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This paper studies a green paradigm for the underlay coexistence of primary users (PUs) and secondary users (SUs) in energy harvesting cognitive radio networks (EH-CRNs), wherein battery-free SUs capture both the spec...
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The health state assessment and remaining useful life (RUL) estimation play very important roles in prognostics and health management (PHM), owing to their abilities to reduce the maintenance and improve the safety of...
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Aiming at the phenomenon that high-viscosity multi-component adhesives are difficult to control due to viscosity changes, a mechanism using piston to dispense is designed. By analyzing the flow properties of multi-com...
Aiming at the phenomenon that high-viscosity multi-component adhesives are difficult to control due to viscosity changes, a mechanism using piston to dispense is designed. By analyzing the flow properties of multi-component adhesives, a consistency coefficient related to the mixing time of each component of the glue is introduced to the shear stress of the colloidal by its physical meaning, so the viscosity changes could be characterized during the dispensing process. The model of the dispensing system was established by the viscous fluid mechanics and the estimation function of the flow rate out of needle was given. According to the experimental verification of the specific adhesive, the dispensing system designed in this paper can directly control the amount of dispensing by adjusting the motor pulse frequency and the dispensing time. In the case, the simulation results are basically consistent with the experimental results, and the flow error can be kept within 10−9m3/s to realize the quantitative dispensing of the high-viscosity multi-component adhesive.
This paper addresses the problem of path following for a biomimetic underwater vehicle (BUV) propelled by undulatory fins with uncertain model and unknown disturbance. The mechanical structure of the BUV is briefly de...
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Traditional methods of Robot teaching require human demonstrators to program with a teaching pendant,which is a complex and time-consuming *** this paper,we propose a novel method based on teleoperation which allows a...
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Traditional methods of Robot teaching require human demonstrators to program with a teaching pendant,which is a complex and time-consuming *** this paper,we propose a novel method based on teleoperation which allows a demonstrator to train robot in an intuitive *** specifically,at the beginning the demonstrator controls a robot by visual *** then a learning algorithm based on radial basis function(RBF) network is used to transfer the demonstrator's motions to the *** verify the effectiveness of this developed methods,several simulation experiments have been carried out which based on Microsoft Kinect Sensor and the Virtual Robot Experimentation Platform(V-REP).The experimental results show that this method has achieved satisfactory *** the help of this method,the robot can not only complete the task autonomously after teaching,but also can learn the details of demonstrator's behavior.
The long-term goal of artificial intelligence （AI） is to make machines learn and think like human beings. Due to the high levels of uncertainty and vulnerability in human life and the open-ended nature of problems t...
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The long-term goal of artificial intelligence （AI） is to make machines learn and think like human beings. Due to the high levels of uncertainty and vulnerability in human life and the open-ended nature of problems that humans are facing, no matter how intelligent machines are, they are unable to completely replace humans. Therefore, it is necessary to introduce human cognitive capabilities or human-like cognitive models into AI systems to develop a new form of AI, that is, hybrid-augmented intelligence. This form of AI or machine intelligence is a feasible and important developing model. Hybrid-augmented intelligence can be divided into two basic models： one is human-in-the-loop augmented intelligence with human-computer collaboration, and the other is cognitive computing based augmented intelligence, in which a cognitive model is embedded in the machine learning system. This survey describes a basic framework for human-computer collaborative hybrid-augmented intelligence, and the basic elements of hybrid-augmented intelligence based on cognitive computing. These elements include intuitive reasoning, causal models, evolution of memory and knowledge, especially the role and basic principles of intuitive reasoning for complex problem solving, and the cognitive learning framework for visual scene understanding based on memory and reasoning. Several typical applications of hybrid-augmented intelligence in related fields are given.
The space telescope stands for the highest level of a nation's aerospace industry, with its manufacturing and launch remaining a worldwide conundrum. The concept of modularized space telescope is proposed herein, ...
The space telescope stands for the highest level of a nation's aerospace industry, with its manufacturing and launch remaining a worldwide conundrum. The concept of modularized space telescope is proposed herein, the main structure of the sub-mirror module is designed briefly and the assembly scheme of the main telescope is also provided. Besides, the kinematic equation and working conditions of the space robotic arm used for assembly are given, with the cubic B-spline curves formulating the joint space trajectory. Then, with minimizing the moving time as the objective of optimization, displacement, speed and acceleration as the constraint conditions, a mathematical model for time-optimal trajectory planning is established and the genetic algorithm is used to work out solutions. The emulation result shows that the joint space trajectory of the robotic arm obtained on the premise that all the restraint conditions are met can minimize the robotic arm's moving time.
As a kind of one-dimensional nanostructure, silicon nanowires have a very wide range of applications in photovoltaic devices, electrical devices, and biosensors. The morphology control of nanowire arrays greatly affec...
As a kind of one-dimensional nanostructure, silicon nanowires have a very wide range of applications in photovoltaic devices, electrical devices, and biosensors. The morphology control of nanowire arrays greatly affects the performance of nanowire arrays. In this paper, we introduce the light-assisted MACE method to prepare nanowire arrays. Through a large number of experiments, the effects of different light intensities and light wavelengths on the morphology of the formed silicon nanowire arrays are analyzed. At the same time, the degree of aggregation of nanowires is taken as the characterization parameter of the morphological characteristics, the change rule of clustering density and the change rule of the etching rate under different illumination power and wavelength conditions are qualitatively analyzed. Finally, we make a preliminary exploration and analysis of the reasons for this appearance.
In this paper, a new robust position controller is proposed for Series Elastic Actuators (SEAs) by using Sliding Mode control (SMC) and a second order Disturbance Observer (DOb). The latter estimates not only disturba...
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