The proceedings contain 79 papers. The topics discussed include: categorization of cyberbullying based on intentional dimension;design and implementation of immersive virtual reality for enhanced operational efficienc...
ISBN:
(纸本)9798350372106
The proceedings contain 79 papers. The topics discussed include: categorization of cyberbullying based on intentional dimension;design and implementation of immersive virtual reality for enhanced operational efficiency and safety in oil and gas industry;lung cancer detection using combination of Gabor filter, histogram equalization and multi-layer perceptron;classification of red watermelon varieties using canny edge detection and CNN;optimization of ReLU activation function for deep learning-based breast cancer classification on mammogram images;neural network (NN), perturb and observe (PO), and hybrid NN-PO for MPPT controller in PV system;performance evaluation of support vector machine algorithm in object classification using different preprocessing methods;development of a shopping-dash trolley system using IoT platform based NodeMCU;determining image deblur, detecting faces, and enhancing appearance using image processing techniques;and optimization of renewable energy in north Sumatra using firefly algorithm method towards net zero emissions.
This paper proposes a novel dynamic robust control allocation algorithm based on second-order cone programming (SOCP) for tandem-wing UAV, with a focus on its application in reconnaissance-and-strike integrated missio...
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ISBN:
(纸本)9798350389814;9798350389807
This paper proposes a novel dynamic robust control allocation algorithm based on second-order cone programming (SOCP) for tandem-wing UAV, with a focus on its application in reconnaissance-and-strike integrated missions characterized by high-dynamic, large-maneuver flight conditions. Leveraging the inherent flight control redundancy afforded by the aircraft's unique aerodynamic configuration, the proposed method demonstrates enhanced robustness to uncertainties in the control efficiency matrix, in contrast to traditional methods such as the generalized inverse approach. The algorithm efficiently allocates control output of control rudders, minimizing deflection demands and ensuring stable control of the aircraft. The effectiveness of control allocation algorithms is rigorously validated through numerical simulations, confirming their superior performance and robustness in addressing the challenges of high-dynamic maneuvering flight.
To address the accidental fall when workers climb high-voltage towers, this paper designs a tendon-driven anti-fall exoskeleton system with the function of sensing and actuation. In the sensing part, the proposed devi...
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ISBN:
(纸本)9798350389814;9798350389807
To address the accidental fall when workers climb high-voltage towers, this paper designs a tendon-driven anti-fall exoskeleton system with the function of sensing and actuation. In the sensing part, the proposed device uses a hand pressure sensor combined with a classification algorithm to achieve a good classification effect, and can achieve an accuracy rate of 93% after data collection and annotation. In the mechanical design section, to determine the locations of anchor points, we use the finger model. Additionally, a motor-cable experimental platform is designed for the selection of a spool and test of system performance. Data collection and analysis are performed to establish the control logic. The experiments demonstrate that the system could provide 8.04 Ncm of finger joint torque within 0.2 seconds. The system can be used as a reminder during workers' climbing and significantly contributes to operational safety.
In order to speed up the sorting speed, reduce the intensity of manual labor, this project designs an automatic material sorting system based on PLC control. The system takes Siemens S7-1500 PLC as the controller, and...
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ISBN:
(数字)9798350373172
ISBN:
(纸本)9798350373172;9798350373189
In order to speed up the sorting speed, reduce the intensity of manual labor, this project designs an automatic material sorting system based on PLC control. The system takes Siemens S7-1500 PLC as the controller, and completes the software and hardware system design of six workstations in the assembly line. The system realizes the processing, assembling and sorting of cylindrical materials through feeding unit, handling unit, processing unit, handling and installation unit, installation unit, sorting unit. At the same time, the project has developed a HMI human-machine interaction system. After debugging, the system can automatically sort different color materials and achieve the expected function.
Different experiment times for the same simulation experiment affect the validity of the experimental results. In this paper, the basic principle of Monte Carlo method for determining simulation times is introduced, a...
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This paper presents two designs of polylactic acid (PLA) grippers. The two designs use hand-like structures that have four fingers for gripping. Design 1 uses longitudinal-transversal printed lines to bend the fingers...
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ISBN:
(纸本)9798350372113;9798350372106
This paper presents two designs of polylactic acid (PLA) grippers. The two designs use hand-like structures that have four fingers for gripping. Design 1 uses longitudinal-transversal printed lines to bend the fingers. The fingers have identical dimensions of 1 mm x 4 mm x 15 mm for the height, width, and length, respectively. Meanwhile, Design 2 uses a bioinspired design concept to optimize the gripping performance, where honeycombs are used as a source of inspiration. The fingers are designed with height, width, and length of 1.4 mm x 15 mm x 50 mm, respectively. The grippers are fabricated using fused deposition modeling (FDM)-based four-dimensional (4D) printing. Deformation of the fingers is achieved by activating the grippers using the temperature of the hot water, which releases the induced strain that is stored in the PLA during the printing process. The FDM printing parameters are controlled to optimize the levels of the induced strain in the fingers of the gripper. The transient responses of the grippers are analyzed using Kinovea software and MATLAB. The magnitude values of the deformation Designs 1 and 2 are similar to 10 mm and similar to 41.38 mm, while their settling time values were respectively 2.93 s and 7.46 s. The proposed grippers demonstrated their ability to grip different objects inside and outside hot water. The results show that the proposed designs are suitable for different robotics applications, especially underwater object manipulation.
This automatic feeding system for cats and dogs uses a variety of advanced hardware devices, including time module, button module, wifi module and display module. The system has a display screen, which can clearly dis...
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ISBN:
(纸本)9798350373172;9798350373189
This automatic feeding system for cats and dogs uses a variety of advanced hardware devices, including time module, button module, wifi module and display module. The system has a display screen, which can clearly display the current time, but also reflect the current working mode of the system, as well as important information such as the single feed and the amount of food remaining. The user can adjust the single feed and remaining food alarm thresholds at any time by pressing the button. In addition, the system can also be remotely fed through the mobile APP. In drinking water, the system has a water level sensing function, and users can set the water level according to their needs. The 2016 version of Altium Designer is used to draw the intelligent pet feeding monitoring system and the designed circuit diagram. After drawing the circuit diagram with this software, corresponding welding is carried out on the real object. Meanwhile, Keil uvision software is used to write the functional software.
The proceedings contain 81 papers. The topics discussed include: research on AGVS dynamic path planning method based on UGNL;development of a new-style desktop manipulator;occlusion-aware discriminative networks for v...
ISBN:
(纸本)9781450388306
The proceedings contain 81 papers. The topics discussed include: research on AGVS dynamic path planning method based on UGNL;development of a new-style desktop manipulator;occlusion-aware discriminative networks for visual object tracking;design and research of a highly adaptive autonomous wallclimbing robot;research on application of robot and IOT technology in engineering quality intelligent inspection;the design of laser rangefinder based on MCU;color restoration algorithm of Rubik's cube color block based on SVM classification;the development and prospection of automatic courier sorting robot;design of follow-up measurement module;and modeling, simulation and verification of quadrotor UAV.
Microrobots have emerged as effective tools for non-invasive tasks related to biomedical applications, such as drug delivery. Their operation in complex environments, such as in vivo applications, requires accurate re...
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ISBN:
(纸本)9798350389814;9798350389807
Microrobots have emerged as effective tools for non-invasive tasks related to biomedical applications, such as drug delivery. Their operation in complex environments, such as in vivo applications, requires accurate real-time imaging techniques. However, imaging methods usually present several challenges, such as low contrast, limited spatiotemporal resolution, and restricted depth penetration. To address these issues, deep learning (DL) offers an effective solution by automatic extraction of features from microrobot images, even with dense backgrounds. This paper reviews recent advancements to enhance biomedical imaging methods, such as optical, magnetic field-based, and ultrasound-based methods, by using DL algorithms for the detection and tracking of microrobots. It also highlights the existing challenges and offers directions for future studies in improving imaging performance and extending the scope of the application of microrobots.
automatic visual quality inspection is pivotal in both computer vision and robotics. It plays a crucial role in manufacturing, where robotic systems are increasingly employed to enhance the speed and efficiency of vis...
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ISBN:
(纸本)9798350377712;9798350377705
automatic visual quality inspection is pivotal in both computer vision and robotics. It plays a crucial role in manufacturing, where robotic systems are increasingly employed to enhance the speed and efficiency of visual quality assessments. Several inspection planning methodologies have been developed;however, they often address the inspection challenge from a singular perspective of robotics or computer vision. This work introduces a comprehensive approach that synergistically integrates principles from both domains. We present an innovative algorithm designed to generate optimal inspection poses by considering the interplay between the inspected object's geometry and the kinematics of the robotic setup used for inspection. This is accomplished by taking advantage of the concept of visibility. The effectiveness of our algorithm is demonstrated through simulations and experiments, revealing complete coverage for diverse geometries and materials with a small number of inspection poses. Moreover, we benchmark our framework against box constraints and workspace sampling techniques to generate feasible inspection poses. The results indicate superior performance in achieving extensive coverage and reducing the number of required optimal inspection poses, enhancing the overall inspection process.
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