It is my great honor to publish a new journal “Journal of Advances in Artificial Life Robotics (JAALR)” together with ALife Robotics Corporation Ltd. & Robot Artificial Society. The contents of this journal are often based on articles submitted to The International Conference on Artificial Life and Robotics (ICAROB).
Autonomous robots in human-robot interaction (HRI) recently are becoming part of human life as the number of services or personal robots increasingly used in our home. In order to fulfill the gap of HRI merit, we would like to propose a system of the autonomous robot motion and grasping creation for assisting the disabled person such as the blind people for handover tasks to help blind people in pick and place tasks. In this paper, we develop the robot motion to receive the object by handing over from the blindfold human to represent the blindness. To determine the target of the object and human hand, we implement the 6DOF pose detection using a point cloud and hand detection using the Single Shot Detection model in Deep learning for planning motion using 9DOF arm robot with hand. We finally experiment and evaluate the tasks from blindfold-robot handover tasks.
The traditional water quality detection method is sampling and detection by artificial nodes, which is easily interfered by weather and environment. The presented design method is a new water quality detection device for marine and other waters. The device is spherical in shape and uses a built-in sensor and control system to detect the water quality in the form of drifting. This device has a built-in micro control system, TDS detection module, power voltage regulator module, GPS module and wireless signal transmission module. The TDS module detects the concentration of total dissolved matter in the water, and the GPS module measures the current location of the device, which sends the data to the micro control system. The micro control system sends the water quality information and the geographical location information through the wireless transmitting module, and the user can view the water quality status by the device in real time through the Internet. The power supply voltage regulator module provides the different voltages required by the entire device to achieve the function of detecting the current water quality.
To promote the research of oceanic engineering technology, an underwater robot competition has been held since 2016. The seventh competition this year consists of AUV leagues, in which vehicles developed by university teams automatically cruise in the field, and junior leagues that participate in making underwater craft. This paper presents the competition regulations for the AUV and junior leagues and the results of the competition held in October 2019.
With the chip STM32f767 igt6 (M7 series) as the core, the designed aircraft will finally realize the intelligence by using the optimized attitude algorithm (cascade PID and single-stage PID share the optimized control), omni-directional ultrasonic radar detection barrier collision prevention technology, long-distance wireless transmission technology (to realize the timely transmission of images recognition), navigation technology (the Beidou and GPS double positioning system to realize more accurate positioning), voice recognition technology, man-machine interaction technology, and wireless local area network technology. The experiment shows the result.
Augmented reality (AR) technology is a technique of superimposing information generated by a computer on perceptual information that we receive from real space. Recently, much attention has been focused on interaction techniques between users and virtual objects, such as the user directly manipulating virtual objects with his/her bare hands. On the other hand, in AR technology, since the 3-dimensional (3D) model is superimposed on the image of the real space afterwards, it is always displayed on the front side than the hand. Thus, it becomes an unnatural scene in some cases (occlusion problem). In this study, this system considers the object-context relations between the user's hand and the virtual object by acquiring depth information of the user's finger. In the evaluation experiment, it is confirmed that the hidden surface removal in this study not only makes it possible to consider the object-context relations but also can distinguish between finger boundaries and to clarify and process finger contours.
The authors have investigated a high-accuracy analysis for the electromagnetic field of anatomical human body models using the parallel finite element method. In the full-wave electromagnetic field analysis by the parallel finite element analysis with anatomical human models, efficient conversion from voxels to finite element meshes and speed-up of an analysis become important topics. In this paper, we propose parallel mesh generation method with mesh smoothing, and show to be able to generate large-scale mesh very effective. Then, we evaluated the performance of two kinds of iterative method by numerical experiments using large-scale human body model. As the results, the COCR method is very useful as the interface solver in the DDM for high-frequency electromagnetic field analysis using anatomical human model.
This note comes with information flooding of the control action of the leader in leader follower framework. In this situation, even observer for the leader velocity is built in a distributed style, the agent swarm system in a whole could not be classified into distributed one. One case study example will be borrowed to demonstrate the truth of the no free lunch principle in agent swarm systems.
It is necessary to support of computer operation for a physically disabled person. One of the possible physical movements of the physically disabled person is facial movement. Recognition of facial movement of a person makes it possible to operate a computer. Furthermore without the adjustment for a user and adjustment for the distance from a user, it is possible to reduce the burden on a user. We developed a system to resolve these problems. In our system, a web camera, dlib C++ library and OpenCV library are used to extract feature points of the face and obtain the face direction. Changing the face direction, we can move a mouse cursor. Recognizing an open mouth or closed eye, we can carry out an operation of mouse click. In this paper, we evaluated the effect on operability due to the face direction and recognition rate due to distance.
Wafer defect detection is an indispensable part of semiconductor manufacturing. In this paper, an automatic and efficient device is designed and constructed to detect wafer physical defects. Programmable logic controllers (PLCs) are used as the controller of the transmission mechanism of the device, and the servo motor is used for driving. Wafer images are captured by a CMOS camera. In addition, in order to improve the detection accuracy, the camera calibration is completed according to the mapping relationship between the pixel coordinate system and the world coordinate system. A computer is adopted for wafer image processing and displaying the final detection results. The device proposed in this paper has low cost and high reliability. It provides a new solution for wafer defect detection.
Electric motors play an important role as the primary power for conveyor and drop lifts in manufacturing systems especially in automobile manufacturing factories. Many electric motors equipped with brake systems have sensors that determine where they should stop. This brake system needs to be maintained to keep proper brake gap consistent. Measuring the brake gap of electric motors is one of the main jobs of maintenance department, but this is a difficult task because most of the motors are located in unsafe spaces, like the upper end or under the lift pit. This paper proposes a new approach to measure the brake gap of motors to reduce maintenance risks, thus saving costs. The method suggests using vibration acceleration to measure the motor gap in running production system based on mechanical model. The effectiveness of this research is indicative by experience results.