The authors would like to express their gratitude to Mr. Yaojie He for his assistance in performing the experiments reported in this paper. This work was supported in part by the National Natural Science Foundation of China (No. 61673117).

1. Construction of the Machine

<ol>
	<li>Assemble the chassis as illustrated, securing mechanical components using appropriate fasteners. (Figure 1) 
	NOTE: The chassis, which comprises the baseboard, motor, wheels, etc., is the primary component of the robot responsible for its motion. Thus, during assembly, keep the bracket straight.</li>
	<li>Tin the wire lead and both the positive and negative electrodes. Solder two wire leads onto the two ends of the motor, connecting the red lead to the positive electrode and the black lead to the negative electrode.</li>
	<li>Assemble the shaft sleeve, the motors and the wheels.
	<ol>
		<li>Connect the motor to the shaft sleeve and secure it with a screw.</li>
		<li>Insert the shaft sleeve into the center of the wheel hub.</li>
		<li>Install the completed structure onto the chassis.</li>
	</ol>
	</li>
	<li>Drill two holes, 3 mm in diameter, in the center of chassis, to allow for installation of the motor driving module. Connect the motor to the motor driving module.</li>
	<li>Drill one hole 1 cm from both the left and right edges of the chassis for installation of the bracket for the infrared sensors on the bottom.</li>
	<li>Install two fasteners onto the center of the two sides of the chassis. 
	NOTE: To ensure normal operation of the infrared sensors, ensure that the connecting piece is perpendicular to the chassis.</li>
	<li>Drill a hole, 18 mm in diameter, through each of the two structural components for the installation of sensors. (Figure 2A)</li>
	<li>Install the motor drive to the underside of chassis. (Figure 2B) Install one infrared sensor pointing at each of the four directions, respectively, of the chassis. (Figure 2C)</li>
	<li>Install the steering gear in symmetry. Because of the large torque generated by the operation of the steering gear, ensure that the bolts are installed in a manner that provides a firm and impervious joint.</li>
	<li>Install four infrared sensors on the center of the machine.</li>
	<li>Place the 14.8 V power supply in the center of the machine, and affix the Microcontroller Unit (MCU) to the battery pack.</li>
	<li>Affix four range sensors to the upper part of machine. Adjust the angle between each sensor and the ground to 60&#176;, to guarantee detection accuracy relative to the working table.</li>
	<li>Install the dual-axis tilt sensor, which is used to detect cases when the machine fails to reach its target in the working area.</li>
	<li>Use a screwdriver to attach the robot arm to the front of the machine. (Figure 3)</li>
</ol>
2. Debugging the Steering Engine and Driver Module
<ol>
	<li>Double-click to open the debugging software (e.g., Robot Servo Terminal2010). Connect computer to the debug board with a Universal Serial Bus (USB) converting cable. (Figure 4)</li>
	<li>Set the steering engine&#39;s baud rate to 9600 bits/s, the rate limitation to 521 rad/min, the angular limitation to 300&#176; and voltage limitation to 9.6 V in the working interface.</li>
	<li>Set the working mode of the robot steering gear to &#34;steering engine mode.&#34;</li>
	<li>Apply asynchronous half-duplex communication as the connection between the controller and steering engines. This way, the controller can control more than 255 steering engines from a single Universal Asynchronous Receiver/Transmitter (UART) interface. (Figure 5) 
	Caution: There may be, at most, 6 steering engines connected to a single wire. Too many steering engines will lead to overheating and large voltage drop, resulting in unusual behavior such as resetting and abnormal data communication, etc. (Figure 6)</li>
	<li>Apply asynchronous half-duplex communication as the connection between the controller and the motor driving module. (Figure 7)</li>
	<li>Set the ID number of the two driving modules and the four steering engines. ID3 and ID4 are left blank for future updating purposes. (Figure 8) 
	NOTE: ID1: leftward driving module; ID2: rightward driving module; ID5: left-front steering engine; ID6: right-front steering engine; ID7: left-rear steering engine; ID8: right-rear steering engine.</li>
	<li>Cascade the steering engines one by one and connect the cascade to the controller.</li>
	<li>Connect the sensors to their respective controller interfaces. It should be noted that the sensor whose connector bears a triangular mark is the ground (GND). 
	NOTE: AD1: front infrared photoelectric sensor on underside; AD2: right infrared photoelectric sensor on underside; AD3: rear infrared photoelectric sensor on underside; AD4: left infrared sensor on underside; AD5: front infrared distance measuring sensor; AD6: right infrared distance measuring sensor; AD7: rear infrared measuring sensor; AD8: left infrared distance measuring sensor; AD9: left-front anti-fall infrared photoelectric sensor; AD10: right-front anti-fall infrared photoelectric sensor; AD11: right-rear anti-fall infrared photoelectric sensor; AD12: left-rear anti-fall infrared photoelectric sensor.</li>
</ol>
3. Debugging the Sensors
<ol>
	<li>Rotate the regulating knob on the tail of the infrared sensors to adjust the detection range of the sensors. When the robot is positioned in the center of the working table, the logic level of the top four infrared sensors is 1. When the machine moves to the edge of the working table, the logic level of the infrared sensor on the corresponding side will be 0. (Figure 9A) 
	NOTE: The robot can determine its location in the working table by analyzing the logic level of the infrared sensors. For example, if the logic levels of the left and front sensors are 0, the robot must be in the upper-left region of the working table.</li>
	<li>Compare the measured values of the distance sensor to their baseline values for calibration. (Figure 9B) 
	NOTE: The distance sensor is an analog sensor. As the distance varies, the sensor&#39;s signal strength feedback and corresponding measured values will also vary. The measured values will be relayed to the host machine via digital sensors so that the robot can identify changes in its surroundings.</li>
	<li>Debug the tilt-angle sensor.
	<ol>
		<li>Position the tilt-angle sensor horizontally and record its measured values.</li>
		<li>Incline the sensor toward two different directions and record its measured values. If the measured values are within the error range, the sensor can be regarded as being in regular operation.</li>
	</ol>
	</li>
</ol>
4. Control Scheme
<ol>
	<li>Construct the simulation model of the DC motor, based on the DC motor voltage balance equation, flux linkage equation and torque balance equation.
	<ol>
		<li>Establish voltage balance equation given by 
		<img alt="Equation 1" src="/files/ftp_upload/56422/56422eq1.jpg" /> 
		where ud is direct axis voltage, uq is quadrature axis voltage. Rd and Rq denote direct axis resistance and quadrature axis resistance respectively. <img alt="Equation 2" src="/files/ftp_upload/56422/56422eq2.jpg" />,<img alt="Equation 3" src="/files/ftp_upload/56422/56422eq3.jpg" />,<img alt="Equation 4" src="/files/ftp_upload/56422/56422eq4.jpg" />,<img alt="Equation 5" src="/files/ftp_upload/56422/56422eq5.jpg" />, represent direct axis current, direct axis current, direct axis flux and quadrature axis flux.</li>
		<li>Establish flux linkage equation given by 
		<img alt="Equation 6" src="/files/ftp_upload/56422/56422eq6.jpg" /> 
		where <img alt="Equation 7" src="/files/ftp_upload/56422/56422eq7.jpg" /> and <img alt="Equation 8" src="/files/ftp_upload/56422/56422eq8.jpg" /> denote the coefficient of direct axis self-inductance and quadrature axis self-inductance respectively. <img alt="Equation 9" src="/files/ftp_upload/56422/56422eq9.jpg" />and <img alt="Equation 10" src="/files/ftp_upload/56422/56422eq10.jpg" /> are coefficient of mutual inductance. <img alt="Equation 11" src="/files/ftp_upload/56422/56422eq11.jpg" />, <img alt="Equation 12" src="/files/ftp_upload/56422/56422eq12.jpg" /> represent electromagnetic torque and load torque.</li>
		<li>Establish torque balance equation calculated by <img alt="Equation 13" src="/files/ftp_upload/56422/56422eq13.jpg" />.</li>
		<li>Build simulation model of the DC motor. (Figure 10)</li>
	</ol>
	</li>
	<li>Apply double closed-loop control of the DC motor. Utilize the output of the speed regulator as the input to the current regulator to regulate the motor&#39;s torque and current. 
	Note: Diagram of the structure of the current regulation system. (Figure 11) 
	The transfer function of the PI current regulator is shown as <img alt="Equation 14" src="/files/ftp_upload/56422/56422eq14.jpg" />, where <img alt="Equation 15" src="/files/ftp_upload/56422/56422eq15.jpg" />is the proportional coefficient of the current regulator and <img alt="Equation 16" src="/files/ftp_upload/56422/56422eq16.jpg" /> is the lead time constant of the current regulator. It can be obtained by the scale coefficient <img alt="Equation 17" src="/files/ftp_upload/56422/56422eq17.jpg" />, and the integral coefficient <img alt="Equation 18" src="/files/ftp_upload/56422/56422eq18.jpg" />.
	<ol>
		<li>Apply double closed-loop control of the DC motor. (Figure 12)</li>
	</ol>
	</li>
	<li>Apply four-quadrant motion control of the DC motor. (Figure 13)
	<ol>
		<li>Utilize an H-bridge driving circuit to achieve four-quadrant motion of the DC motor by modulating the on-off of Metal-Oxide-Semiconductor Field-Effect Transistor (MOSFET). (Figure 14) 
		Note: When Q1 and Q4 are turned on and the motor is in the forward electric state and the first quadrant running state. When Q3 and Q4 are turned on, the motor is in the energy braking state and the second quadrant running state. When Q2 and Q3 are turned on, the motor is in the reverse electric state and the third quadrant motion state. When Q1 and Q2 are turned on, the motor is in the reverse energy braking state and the fourth quadrant motion state.</li>
	</ol>
	</li>
	<li>Apply pulse width modulation (PWM) to regulate the speed of the DC motor. Modulate the DC voltage pulse width (duty cycle) applied to the motor armature by controlling the on-off of the electric switch when the voltage of DC motor power supply remains essentially unchanged, thus modulating the average value and the rotation speed input to armature voltage of the motor.</li>
</ol>
5. Write the Program
<ol>
	<li>Use the USB download line to import a Binary (BIN) file generated by KEIL5 into the controller.</li>
	<li>Select the program to be executed.</li>
</ol>
6. Application Scenario
<ol>
	<li>Apply color recognition to categorize cargo in a factory. (Figure 15)
	<ol>
		<li>Use an optical camera to collect images and verify the scanned color using the number of the bounced two-dimensional array.</li>
		<li>Lift the object with the mechanical arms.</li>
		<li>Issue a command to transport the object to the designated location using the camera and driving motor of the robot.</li>
	</ol>
	</li>
	<li>Search quickly to clear the designated areas. (Figure 16)
	<ol>
		<li>Use the four optical sensors on the robot to detect the locations of surrounding obstacles.</li>
		<li>Command the steering engine to lift the mechanical shovel and clear obstacles in the designated areas.</li>
		<li>Use the genetic algorithm to determine the most effective search path.</li>
	</ol>
	</li>
	<li>Use self-recognition to prevent falling from the workbench to separate workers from the machine working area and ensure worker safety.
	<ol>
		<li>Modify signals based on the difference in altitude between the four upper optical sensors, which recognize the workbench and the ground.</li>
		<li>Analyze the mutable signals to determine the location of the edges of the workbench.</li>
		<li>Command the machine to avoid the edges of the workbench.</li>
	</ol>
	</li>
</ol>

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The authors have nothing to disclose.

In this paper, we designed a type of intelligent robot that can be built autonomously. We implemented the proposed intelligent search algorithm and autonomous recognition by integrating several software programs with hardware. In the protocol, we introduced basic approaches for configuring the hardware and debugging the intelligent robot, which may help users design a suitable mechanical structure of their own robot. However, during actual operation, it is necessary to pay attention to stability of the structure, its ope...

Robots are complex, intelligent machines that combine knowledge of several disciplines, including mechanics, electronics, control, computers, sensors and artificial intelligence 1,2. Increasingly, robots are assisting or even replacing humans in the workplace, especially in industrial production, due to the advantages robots possess in performing repetitive or dangerous tasks. The design of the intelligent robot protocol in the current study is based on a closed-loop control strategy, specifically path planning based on a genetic algorithm. Furthermore, the functional modules have been strictly divided3,4, which may provide a solid foundation for future optimization work, so that the robots have a strong capacity for upgrades.
The modular implementation of the robotic platform is based primarily on the following methods: multi-dimensional combination control strategy in motor control module5,6, and intelligent exploration based on a genetic algorithm in the optimization algorithm module.
We use double closed-loop control of the DC motor and four-quadrant motor operation in the motor control module. Double closed-loop speed control means that the output of the speed regulator serves as the input of the current regulator, allowing it to control the current and torque of the motor. The advantage of this system is that the torque of the motor can be controlled in real-time based on the difference between the given speed and the actual speed. When the difference between given and actual speeds is relatively large, the motor torque increases and the speed changes faster to drive the motor speed toward the given value as quickly as possible, which makes for rapid speed regulation7,8,9. Conversely, when the speed is relatively close to the given value, it can automatically reduce the torque of the motor to avoid excessive speed, allowing the speed to achieve the given value relatively quickly with no error6,10. Since the equivalent time constant of the electric current loop is relatively small, the four-quadrant motor11,12 can respond more quickly to suppress the impact of interference when the system is subject to external interference. This allows it to improve the stability and anti-jamming ability of the system.
We choose a genetic intelligent optimization algorithm with the highest efficiency based on the results of a simulation run in MATLAB. A genetic algorithm is a stochastic parallel search algorithm based on the theory of natural selection in genetics. It constitutes an efficient method for finding the global optimal solution in the absence of any initial information. It regards the solution set of the problem as a population, thereby increasing the quality of the solution via continuous selection, crossover, mutation and other genetic operations. With regard to path planning by intelligent robots, difficulty arises as a result of insufficient initial information, complicated environments and nonlinearity. Genetic algorithms are better able to solve the problem of path planning because they possess global optimization ability, strong adaptability and robustness in solving nonlinear problems; there are no specific restrictions on the problem; the calculation process is simple; and there are no special requirements for the search space 13,14.

<table border="1" fo:keep-together.within-page="1" fo:keep-with-next.within-page="always">
	<tbody>
		<tr>
			<td>structural parts</td>
			<td>UPTECMONYH HAR</td>
			<td>L1-1</td>
			<td></td>
		</tr>
		<tr>
			<td>structural parts</td>
			<td>UPTECMONYH HAR</td>
			<td>L2-1</td>
			<td></td>
		</tr>
		<tr>
			<td>structural parts</td>
			<td>UPTECMONYH HAR</td>
			<td>L3-1</td>
			<td></td>
		</tr>
		<tr>
			<td>structural parts</td>
			<td>UPTECMONYH HAR</td>
			<td>L4-1</td>
			<td></td>
		</tr>
		<tr>
			<td>structural parts</td>
			<td>UPTECMONYH HAR</td>
			<td>L5-1</td>
			<td></td>
		</tr>
		<tr>
			<td>structural parts</td>
			<td>UPTECMONYH HAR</td>
			<td>L5-2</td>
			<td></td>
		</tr>
		<tr>
			<td>structural parts</td>
			<td>UPTECMONYH HAR</td>
			<td>U3A</td>
			<td></td>
		</tr>
		<tr>
			<td>structural parts</td>
			<td>UPTECMONYH HAR</td>
			<td>U3B</td>
			<td></td>
		</tr>
		<tr>
			<td>structural parts</td>
			<td>UPTECMONYH HAR</td>
			<td>U3C</td>
			<td></td>
		</tr>
		<tr>
			<td>structural parts</td>
			<td>UPTECMONYH HAR</td>
			<td>U3F</td>
			<td></td>
		</tr>
		<tr>
			<td>structural parts</td>
			<td>UPTECMONYH HAR</td>
			<td>U3G</td>
			<td></td>
		</tr>
		<tr>
			<td>structural parts</td>
			<td>UPTECMONYH HAR</td>
			<td>U3H</td>
			<td></td>
		</tr>
		<tr>
			<td>structural parts</td>
			<td>UPTECMONYH HAR</td>
			<td>U3J</td>
			<td></td>
		</tr>
		<tr>
			<td>structural parts</td>
			<td>UPTECMONYH HAR</td>
			<td>I3</td>
			<td></td>
		</tr>
		<tr>
			<td>structural parts</td>
			<td>UPTECMONYH HAR</td>
			<td>I5</td>
			<td></td>
		</tr>
		<tr>
			<td>structural parts</td>
			<td>UPTECMONYH HAR</td>
			<td>I7</td>
			<td></td>
		</tr>
		<tr>
			<td>structural parts</td>
			<td>UPTECMONYH HAR</td>
			<td>CGJ</td>
			<td></td>
		</tr>
		<tr>
			<td>link component</td>
			<td>UPTECMONYH HAR</td>
			<td>LM1</td>
			<td></td>
		</tr>
		<tr>
			<td>link component</td>
			<td>UPTECMONYH HAR</td>
			<td>LM2</td>
			<td></td>
		</tr>
		<tr>
			<td>link component</td>
			<td>UPTECMONYH HAR</td>
			<td>LM3</td>
			<td></td>
		</tr>
		<tr>
			<td>link component</td>
			<td>UPTECMONYH HAR</td>
			<td>LM4</td>
			<td></td>
		</tr>
		<tr>
			<td>link component</td>
			<td>UPTECMONYH HAR</td>
			<td>LX1</td>
			<td></td>
		</tr>
		<tr>
			<td>link component</td>
			<td>UPTECMONYH HAR</td>
			<td>LX2</td>
			<td></td>
		</tr>
		<tr>
			<td>link component</td>
			<td>UPTECMONYH HAR</td>
			<td>LX3</td>
			<td></td>
		</tr>
		<tr>
			<td>link component</td>
			<td>UPTECMONYH HAR</td>
			<td>LX4</td>
			<td></td>
		</tr>
		<tr>
			<td>Steering gear structure component</td>
			<td>UPTECMONYH HAR</td>
			<td>KD</td>
			<td></td>
		</tr>
		<tr>
			<td>Steering gear structure component</td>
			<td>UPTECMONYH HAR</td>
			<td>DP</td>
			<td></td>
		</tr>
		<tr>
			<td>Infrared sensor</td>
			<td>UPTECMONYH HAR</td>
			<td>E18-B0</td>
			<td>Digital sensor</td>
		</tr>
		<tr>
			<td>Infrared&#160;Range&#160;Finder</td>
			<td>SHARP</td>
			<td>GP2D12</td>
			<td></td>
		</tr>
		<tr>
			<td>Gray level sensor</td>
			<td>SHARP</td>
			<td>GP2Y0A02YK0F</td>
			<td></td>
		</tr>
		<tr>
			<td>proMOTION&#160;CDS</td>
			<td>SHARP</td>
			<td>CDS&#160;5516</td>
			<td>The robot steering gear</td>
		</tr>
		<tr>
			<td>motor drive module</td>
			<td>Risym</td>
			<td>HG7881</td>
			<td></td>
		</tr>
		<tr>
			<td>solder wire</td>
			<td>ELECALL</td>
			<td>63A</td>
			<td></td>
		</tr>
		<tr>
			<td>terminal</td>
			<td>Bright wire</td>
			<td>5264</td>
			<td></td>
		</tr>
		<tr>
			<td>motor</td>
			<td>BX motor</td>
			<td>60JX</td>
			<td></td>
		</tr>
		<tr>
			<td>camera</td>
			<td>Logitech</td>
			<td>C270</td>
			<td></td>
		</tr>
		<tr>
			<td>Drilling machine</td>
			<td>XIN XIANG</td>
			<td>16MM</td>
			<td>Please be careful</td>
		</tr>
		<tr>
			<td>Soldering station</td>
			<td>YIHUA</td>
			<td>8786D</td>
			<td>Be&#160;careful&#160;to&#160;be&#160;burn</td>
		</tr>
		<tr>
			<td>screwdriver</td>
			<td>EXPLOIT</td>
			<td>043003</td>
			<td></td>
		</tr>
		<tr>
			<td>Tweezers</td>
			<td>R`DEER</td>
			<td>RST-12</td>
			<td></td>
		</tr>
	</tbody>
</table>

the modular design and production of an intelligent robot based on a closed-loop control strategy

Intelligent robots are part of a new generation of robots that are able to sense the surrounding environment, plan their own actions and eventually reach their targets. In recent years, reliance upon robots in both daily life and industry has increased. The protocol proposed in this paper describes the design and production of a handling robot with an intelligent search algorithm and an autonomous identification function.
First, the various working modules are mechanically assembled to complete the construction of the work platform and the installation of the robotic manipulator. Then, we design a closed-loop control system and a four-quadrant motor control strategy, with the aid of debugging software, as well as set steering gear identity (ID), baud rate and other working parameters to ensure that the robot achieves the desired dynamic performance and low energy consumption. Next, we debug the sensor to achieve multi-sensor fusion to accurately acquire environmental information. Finally, we implement the relevant algorithm, which can recognize the success of the robot&#39;s function for a given application.
The advantage of this approach is its reliability and flexibility, as the users can develop a variety of hardware construction programs and utilize the comprehensive debugger to implement an intelligent control strategy. This allows users to set personalized requirements based on their needs with high efficiency and robustness.

In the diagram of the double closed-loop motion control program, purple represents a given speed signal and yellow represents the value of the control system output. Figure 17 clearly shows that the double closed-loop control system is significantly more effective than an open-loop system. The actual overshoot of the output of the double closed-loop system is relatively small and the dynamic performance of the system is better. ( Figure 1...

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The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

We present a protocol on modular design and production of intelligent robots to help scientific and technical workers design intelligent robots with special production tasks based on personal needs and individualized design.

Intelligent robots are part of a new generation of robots that are able to sense the surrounding environment, plan their own actions and eventually reach ...

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11.5K Views.  Chinese Academy of Sciences. We present a protocol on modular design and production of intelligent robots to help scientific and technical workers design intelligent robots with special production tasks based on personal needs and individualized design.

Video: The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Atom Probe Tomography Studies on the Cu(In,Ga)Se2 Grain Boundaries

Compared with the existent techniques, atom probe tomography is a unique technique able to chemically characterize the internal interfaces at the nanoscale and in three dimensions. Indeed, APT possesses high sensitivity (in the order of ppm) and high spatial resolution (sub nm).
Considerable efforts were done here to prepare an APT tip which contains the desired grain boundary with a known structure. Indeed, site-specific sample preparation using combined focused-ion-beam, electron backscatter diffraction, and transmission electron microscopy is presented in this work. This method allows selected grain boundaries with a known structure and location in Cu(In,Ga)Se2 thin-films to be studied by atom probe tomography.
Finally, we discuss the advantages and drawbacks of using the atom probe tomography technique to study the grain boundaries in Cu(In,Ga)Se2 thin-film solar cells.

Atom Probe Tomography Studies on the CuIn,GaSe2 Grain Boundaries

In this work, we describe the use of the atom-probe tomography technique for studying the grain boundaries of the absorber layer in a CIGS solar cell. A novel approach to prepare the atom probe tips containing the desired grain boundary with a known structure is also presented here.

Compared with the existent techniques, atom probe tomography is a unique technique able to chemically characterize the internal interfaces at the ...

Casting Protocols for the Production of Open Cell Aluminum Foams by the Replication Technique and the Effect on Porosity

Metal foams are interesting materials from both a fundamental understanding and practical applications point of view. Uses have been proposed, and in many cases validated experimentally, for light weight or impact energy absorbing structures, as high surface area heat exchangers or electrodes, as implants to the body, and many more. Although great progress has been made in understanding their structure-properties relationships, the large number of different processing techniques, each producing material with different characteristics and structure, means that understanding of the individual effects of all aspects of structure is not complete. The replication process, where molten metal is infiltrated between grains of a removable preform material, allows a markedly high degree of control and has been used to good effect to elucidate some of these relationships. Nevertheless, the process has many steps that are dependent on individual &#8220;know-how&#8221;, and this paper aims to provide a detailed description of all stages of one embodiment of this processing method, using materials and equipment that would be relatively easy to set up in a research environment. The goal of this protocol and its variants is to produce metal foams in an effective and simple way, giving the possibility to tailor the outcome of the samples by modifying certain steps within the process. By following this, open cell aluminum foams with pore sizes of 1&#8211;2.36 mm diameter and 61% to 77% porosity can be obtained.

Replication is one of the processing techniques used for the production of porous metal sponges. In this paper one implementation of the method for the production of open celled porous aluminum is shown in detail.

Metal foams are interesting materials from both a fundamental understanding and practical applications point of view. Uses have been proposed, and in many ...

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

Brain-Robot Interaction (BRI), which provides an innovative communication pathway between human and a robotic device via brain signals, is prospective in helping the disabled in their daily lives. The overall goal of our method is to establish an SSVEP-based experimental procedure by integrating multiple software programs, such as OpenViBE, Choregraph, and Central software as well as user developed programs written in C++ and MATLAB, to enable the study of brain-robot interaction with humanoid robots.
This is achieved by first placing EEG electrodes on a human subject to measure the brain responses through an EEG data acquisition system. A user interface is used to elicit SSVEP responses and to display video feedback in the closed-loop control experiments. The second step is to record the EEG signals of first-time subjects, to analyze their SSVEP features offline, and to train the classifier for each subject. Next, the Online Signal Processor and the Robot Controller are configured for the online control of a humanoid robot. As the final step, the subject completes three specific closed-loop control experiments within different environments to evaluate the brain-robot interaction performance.
The advantage of this approach is its reliability and flexibility because it is developed by integrating multiple software programs. The results show that using this approach, the subject is capable of interacting with the humanoid robot via brain signals. This allows the mind-controlled humanoid robot to perform typical tasks that are popular in robotic research and are helpful in assisting the disabled.

The overall goal of this method is to establish an SSVEP-based experimental procedure by integrating multiple software programs to enable the study of brain-robot interaction with humanoid robots, which is prospective in assisting the sick and elderly as well as performing unsanitary or dangerous jobs.

Brain-Robot Interaction (BRI), which provides an innovative communication pathway between human and a robotic device via brain signals, is prospective in ...

Morphology Control for Fully Printable Organic&#8211;Inorganic Bulk-heterojunction Solar Cells Based on a Ti-alkoxide and Semiconducting Polymer

The photoactive layer of a typical organic thin-film bulk-heterojunction (BHJ) solar cell commonly uses fullerene derivatives as the electron-accepting material. However, fullerene derivatives are air-sensitive; therefore, air-stable material is needed as an alternative. In the present study, we propose and describe the properties of Ti-alkoxide as an alternative electron-accepting material to fullerene derivatives to create highly air-stable BHJ solar cells. It is well-known that controlling the morphology in the photoactive layer, which is constructed with fullerene derivatives as the electron acceptor, is important for obtaining a high overall efficiency through the solvent method. The conventional solvent method is useful for high-solubility materials, such as fullerene derivatives. However, for Ti-alkoxides, the conventional solvent method is insufficient, because they only dissolve in specific solvents. Here, we demonstrate a new approach to morphology control that uses the molecular bulkiness of Ti-alkoxides without the conventional solvent method. That is, this method is one approach to obtain highly efficient, air-stable, organic-inorganic bulk-heterojunction solar cells.

A method for fully printable, fullerene-free, highly air-stable, bulk-heterojunction solar cells based on Ti alkoxides as the electron acceptor and the electron-donating polymer fabrication is described here. Moreover, a method for controlling the morphology of the photoactive layer through the molecular bulkiness of the Ti-alkoxide units is reported.

The photoactive layer of a typical organic thin-film bulk-heterojunction (BHJ) solar cell commonly uses fullerene derivatives as the electron-accepting ...

Predicting Catalyst Extrudate Breakage Based on the Modulus of Rupture

The mechanical strength of extruded catalysts and their natural or forced breakage by either collision against a surface or by a compressive load in a fixed bed are important phenomena in catalyst technology. The mechanical strength of the catalyst is measured here by its bending strength or flexural strength. This technique is relatively new from the perspective of applying it to commercial catalysts of typical sizes used in the industry. Catalyst breakage by collision against a surface is measured after a fall of the extrudates through the ambient air in a vertical pipe. Quantifying the impact force is done theoretically by applying Newton's second law. Measurement of catalyst breakage due to stress in a fixed bed is done following the standard procedure of the bulk crush strength test. Novel here is the focus on measuring the reduction in the length to diameter ratio of the extrudates as a function of the stress.

Here we present a protocol to measure the modulus of rupture of an extruded catalyst and the breakage of said catalyst extrudates by collision against a surface or by compression in a fixed bed.

The mechanical strength of extruded catalysts and their natural or forced breakage by either collision against a surface or by a compressive load in a ...

A 100 KW Class Applied-field Magnetoplasmadynamic Thruster

Applied-field magnetoplasmadynamic thrusters (AF-MPD thrusters) are hybrid accelerators in which electromagnetic and gas dynamic processes accelerate plasma to high speed; they have considerable potential for future space applications with the significant advantages of high specific impulse and thrust density. In this paper, we present a series of protocols for designing and manufacturing a 100 kW class of AF-MPD thruster with water-cooling structures, a 130 V maximum discharge voltage, a 800 A maximum discharge current, and a 0.25 T maximum strength of magnetic field. A hollow tantalum tungsten cathode acts as the only propellant inlet to inhibit the radial discharge, and it is positioned axially at the rear of the anode in order to relieve anode starvation. A cylindrical divergent copper anode is employed to decrease anode power deposition, where the length has been reduced to decrease the wall-plasma connecting area. Experiments utilized a vacuum system that can achieve a working vacuum of 0.01 Pa for a total propellant mass flow rate lower than 40 mg/s and a target thrust stand. The thruster tests were carried out to measure the effects of the working parameters such as propellant flow rates, the discharge current, and the strength of applied magnetic field on the performance and to allow appropriate analysis. The thruster could be operated continuously for significant periods of time with little erosion on the hollow cathode surface. The maximum power of the thruster is 100 kW, and the performance of this water-cooled configuration is comparable with that of thrusters reported in the literature.

The goal of this protocol is to introduce the design of a 100 kW class applied-field magnetoplasmadynamic thruster and relevant experimental methods.

Applied-field magnetoplasmadynamic thrusters (AF-MPD thrusters) are hybrid accelerators in which electromagnetic and gas dynamic processes accelerate ...

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression

Unlike macroscopic process variables, near-infrared spectroscopy provides process information at the molecular level and can significantly improve the prediction of the components in industrial processes. The ability to record spectra for solid and liquid samples without any pretreatment is advantageous and the method is widely used. However, the disadvantages of analyzing high-dimensional near-infrared spectral data include information redundancy and multicollinearity of the spectral data. Thus, we propose to use partial least squares regression method, which has traditionally been used to reduce the data dimensionality and eliminate the collinearity between the original features. We implement the method for predicting the o-cresol concentration during the production of polyphenylene ether. The proposed approach offers the following advantages over component regression prediction methods: 1) partial least squares regression solves the multicollinearity problem of the independent variables and effectively avoids overfitting, which occurs in a regression analysis due to the high correlation between the independent variables; 2) the use of the near-infrared spectra results in high accuracy because it is a non-destructive and non-polluting method to obtain information at microscopic and molecular scales.

The protocol describes a method of predicting o-cresol concentration during the production of polyphenylene ether using near-infrared spectroscopy and partial least squares regression. To describe the process more clearly and completely, an example of predicting the o-cresol concentration during the production of polyphenylene is used to clarify the steps.

Unlike macroscopic process variables, near-infrared spectroscopy provides process information at the molecular level and can significantly improve the ...

Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot

This protocol presents a method for manufacturing, control, and evaluation of the performance of a soft robot that can climb inclined flat surfaces with slopes of up to 84&#176;. The manufacturing method is valid for the fast pneunet bending actuators in general and might, therefore, be interesting for newcomers to the field of actuator manufacturing. The control of the robot is achieved by means of a pneumatic control box that can provide arbitrary pressures and can be built by only using purchased components, a laser cutter, and a soldering iron. For the walking performance of the robot, the pressure-angle calibration plays a crucial role. Therefore, a semi-automated method for the pressure-angle calibration is presented. At high inclines (&#62; 70&#176;), the robot can no longer reliably fix itself to the walking plane. Therefore, the gait pattern is modified to ensure that the feet can be fixed on the walking plane.

This protocol provides a detailed list of steps to be performed for the manufacturing, control and evaluation of the climbing performance of a gecko-inspired soft robot.

This protocol presents a method for manufacturing, control, and evaluation of the performance of a soft robot that can climb inclined flat surfaces with ...

Elaborate Control of Inkjet Printer for Fabrication of Chip-based Supercapacitors

There are tremendous efforts in various fields to apply the inkjet printing method for the fabrication of wearable devices, displays, and energy storage devices. To get high-quality products, however, sophisticated operation skills are required depending on the physical properties of the ink materials. In this regard, optimizing the inkjet printing parameters is as important as developing the physical properties of the ink materials. In this study, optimization of the inkjet printing software parameters is presented for fabricating a supercapacitor. Supercapacitors are attractive energy storage systems because of their high power density, long lifespan, and various applications as power sources. Supercapacitors can be used in the Internet of Things (IoT), smartphones, wearable devices, electrical vehicles (EVs), large energy storage systems, etc. The wide range of applications demands a new method that can fabricate devices in various scales. The inkjet printing method can break through the conventional fixed-size&#160;fabrication method.

This paper provides a technique for manufacturing chip-based supercapacitors using an inkjet printer. Methodologies are described in detail to synthesize inks, adjust software parameters, and analyze the electrochemical results of the manufactured supercapacitor.

There are tremendous efforts in various fields to apply the inkjet printing method for the fabrication of wearable devices, displays, and energy storage ...

Data Communication Based on MQTT in a Polymer Extrusion Process

This work aims at building a flexible data communication structure for a polymer processing machine by employing a publisher-subscriber based protocol called Message Queuing Telemetry Transport (MQTT), which is operated over TCP/IP. Even when using conventional equipment, processing data can be measured and recorded by various devices anywhere through an Internet communication. A message-based protocol allows flexible communication that overcomes the shortcomings of the existing server-client protocol. Multiple devices can subscribe to the processing data published by source devices. The proposed method facilitates data communication between multiple publishers and subscribers. This work has implemented a system that publishes data from the equipment and additional sensors to a message broker. The subscribers can monitor and store the process data relayed by the broker. The system has been deployed and run for a film extrusion line to demonstrate the effectiveness.

This work proposes a flexible method for data communication between a film extrusion system and monitoring devices based on a message protocol called Message Queuing Telemetry Transport (MQTT).

This work aims at building a flexible data communication structure for a polymer processing machine by employing a publisher-subscriber based protocol ...

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

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Atom Probe Tomography Studies on the Cu(In,Ga)Se₂ Grain Boundaries