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Research and Simulation of Intelligent Grasping of robotic Arm Based on Machine vision Recognition

Research and Simulation of Intelligent Grasping of Robotic A...

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Power Electronics, computer Applications (ICPECA), IEEE International conference on

作者： Jinshun Dong Lixia Deng Dapeng Wan Haiying Liu School of Information and Automation Engineering Qilu University of Technology (Shandong Academy of Sciences) Jinan China

With the economic and social development of human beings, people have higher and higher requirements for the intelligence of machinery and equipment. With the vigorous development of robot vision technology, robots are becoming more and more widely used in various industries, and they also gradually have “eyes”. this not only broadens the scope of its use, but also improves its intelligence. In this paper, the PUMA-560 manipulator was simulated to realize its visual recognition and grasping functions. It has been applied to the original industrial robots. For example, the six-axis manipulator used this time is to obtain relevant information about the target and the surrounding environment through computer vision technology, so as to accurately identify the action to be carried out, and respond according to the action to guide the robot to grasp.

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Research on Lightweight Network of Human Posture Estimation for Physical Training 4

Research on Lightweight Network of Human Posture Estimation ...

引用

4th International conference on robotics and computer vision, ICRCV 2022

作者： Sun, Yaowei Li, Gang Zhao, Tongzhou Wuhan Institute of Technology School of Computer Science and Engineering Wuhan China Hebei Normal University College of Physical Education Shijiazhuang China Wuhan Institute of Technology Hubei Province Key Laboratory of Intelligent Robot Wuhan China

ISBN: (数字)9781665481700

ISBN: (纸本)9781665481700

Human posture estimate based on openpose is lightweight and allows for real-time analysis on mobile devices. Contrapose the problem that the real-time of physical training and detection process based on computer vision needs to be improved. Firstly, the MobileNets network was used to achieve model lightweight. MobileNets has the advantage of reducing more parameters and faster speed. then the image was input, and the coordinate information of human skeleton key points was obtained in real time through OpenPose network, and each key point was connected through PAFs. Finally, the joint Angle value was calculated by the selected coordinates of six bone key points, and the obtained joint Angle value was compared with the standard value to judge whether the posture detected in human physical training is normal. through experimental verification, the lightweight network can reduce the computational complexity by 8-9 times, improve the accuracy by 3%, and realize the detection function of human body physical training posture. © 2022 IEEE.

关键词： computer vision

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Drug ADMET Prediction Method Based on Improved Graph Convolution Neural Network 4

Drug ADMET Prediction Method Based on Improved Graph Convolu...

引用

4th International conference on robotics and computer vision, ICRCV 2022

作者： Xiao, Haoliang Chen, Xiangyang Wuhan Institute of Technology College of Computer Science and Engineering Wuhan China Wuhan Institute of Technology Hubei Key Laboratory of Intelligent Robot Wuhan China

ISBN: (数字)9781665481700

ISBN: (纸本)9781665481700

To improve the performance of the determination model for evaluating drug absorption, distribution, metabolism, exclusion, and toxicity (ADMET), a drug ADMET prediction model based on graph convolution network is proposed from the two chemical properties of drug solubility and toxicity. At the same time, a multilayer perceptron and an attention mechanism are introduced to improve the model by using special information such as features in molecular bonds and the difference in interaction strength between adjacent atoms. the error of the improved model is reduced by about 24% and 25% on average on two public data sets of drug solubility, and the accuracy of three public data sets of drug toxicity is increased by about 7.8% on average and 9.6 % at most. Experiments show that the good performance of this method can be used for early drug ADMET prediction, thus providing a reference for computer-aided drug design. © 2022 IEEE.

关键词： Forecasting

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Lidar-Visual-Inertial Odometry Using Point and Line Features 4

Lidar-Visual-Inertial Odometry Using Point and Line Features

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4th International conference on robotics and computer vision, ICRCV 2022

作者： Huang, Ji Zhang, Yanduo Li, Xun Wuhan Institute of Technology Hubei Key Laboratory of Intelligent Robot School of Computer Science and Engineering Wuhan China

ISBN: (数字)9781665481700

ISBN: (纸本)9781665481700

We present a robust real-time Lidar-Visual-Inertial Odometry method that introduces visual line features. Compared with the traditional multi-sensor fusion scheme based on point features, our approach introduces visual line features for pose estimation, utilizes more environmental features, and provides additional constraints on the scene structure. In our method, we first use an improved LSD algorithm for line feature extraction to achieve its real-time requirement, then extract the depth information of the point-line features by LIDAR. the extracted depth information serves as an a priori constraint for point-line bundle adjustment, and we finally use the computed pose estimation as an a priori estimation for the laser odometry to calculate the ultimate pose estimation, thus realizing a laser vision inertial odometry method using point-line features. this method can improve the accuracy of attitude estimation to some extent. Our evaluation of the M2DGR dataset shows that our method achieves higher accuracy than most open source frameworks. © 2022 IEEE.

关键词： Optical radar

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Integration of Industrial Automation and IoT Devices on the Example of the Assembly Station with the Astorino Educational robot 4th

Integration of Industrial Automation and IoT Devices on the ...

引用

4th International conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2023

作者： Ćwikla, Grzegorz Kalinowski, Krzysztof Kciuk, Marek Gold, Michal Waluśkiewicz, Marek Sladek, Michal Tlolka, Jaroslaw Woźnica, Robert Wlazlo, Aleksander Faculty of Mechanical Engineering Silesian University of Technology Konarskiego 18A Gliwice44-100 Poland Faculty of Electrical Engineering Silesian University of Technology Akademicka 10A Gliwice44-100 Poland Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 16 Gliwice44-100 Poland

ISBN: (纸本)9783031442810

the article presents an automated assembly station designed by students as part of Project Based Learning. the task of the project was to familiarize with the issues of integration of automation and control elements operating in various standards in order to implement the idea of Industry 4.0. the main elements of the station are the Astorino educational robot, gripper, servo drive and other professional elements of industrial automation and IoT systems. Raspberry PI, microcontrollers, etc. are also used. the assembly process of the product in the configuration in accordance with the user’s order is carried out at the station, quality control is carried out during the process using a vision system and various sensors. © 2024, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Data acquisition

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Real-time mouth shape recognition algorithm based on improved YOLOv7-Tiny 4

Real-time mouth shape recognition algorithm based on improve...

引用

4th International conference on Artificial Intelligence and computer Engineering, ICAICE 2023

作者： Ni, Yongjing Cao, Xue Wang, Jianchao Tang, Xinliang Hebei University of Science and Technology Hebei Shijiazhuang050091 China

ISBN: (纸本)9798400708831

In a complex environment, fast and accurate identification and positioning of the mouth and shape is the key technology of the feeding robot. Aiming at the current scene, a mouth shape recognition method for improving the YOLOv7-Tiny model is proposed. Firstly, the backbone network is partially replaced by MobileNetV3 Small feature extraction, which reduces the size of the model and the amount of parameters;secondly, the spatial pyramid pooling structure is optimized to reduce computing costs;finally, the lightweight multi-scale fusion network Tiny-BiFPN is introduced into the Neck network to solve the loss of features caused by deepening. the test shows that compared with the original model, the accuracy of the improved model has increased by 1.9%, the number of parameters has decreased by 30.59%, and the mAP@0.5value has increased by 0.3%. this research can provide technical support for the later development of feeding robots. © 2023 ACM.

关键词： computer vision

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Study on Intelligent Facial Expressions of Humanoid robot 4

Study on Intelligent Facial Expressions of Humanoid Robot

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4th International conference on Inventive Research in Computing Applications, ICIRCA 2022

作者： Swaminathan, Aravind Surendran, R. Joel Benjamin, J. Jaswant, V. Chennai Institute of Technology Department of Electronics and Communication Engineering Chennai India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Computer Science and Engineering Chennai India

ISBN: (数字)9781665497077

ISBN: (纸本)9781665497077

this study describes the development of a motion control scheme for an artificial robot head that consists of four angles of freedom that lean against the neck and rotate freely laterally. this overview describes how vision helps to coordinate such behaviors, especially how the motor system uses sensory information to find the information needed for each behaviour. this work describes the creation of a human-like facial mechanism with simplified complexity to generate a human-like facial expression. A unique feature of this face robot is that it uses far fewer actuators. Only trio servomotors were used for facial movements, and five were used for the remaining head movements. In addition, the modular architecture allows you to achieve the required number of facial expressions in a single frame. Because the robot has an audio system and a camera in each eye, it uses auditory and visual sensitivities to identify, interact, and enhance the expressive process. From computer vision and computer graphics to multimedia processing, some application areas benefit from highlight detection because the detected highlights show the visual meaning of different sections of the visual stimulus. For 360-degree visual stimuli, photos and videos need to capture the entire scene in 3D space. therefore, transferring an entire video or generating an entire scene can waste resources. In addition, if you can predict visually important areas in your image, you can process those areas in more detail. © 2022 IEEE.

关键词： Anthropomorphic robots

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A Neural Network-Based Approach to Identifying Wrinkles and Recommending Cosmetic Products 1

引用

4th International conference on Optimization Learning Algorithms and Applications

作者： Tonello, Guilherme de M. Varanda Pereira, Maria Joao Alves, Paulo Ortoncelli, Andre Roberto Inst Politecn Braganca Res Ctr Digitalizat & Intelligent Robot CeDRI Lab Sutentabilidade & Tecnol Regioes Montanha Sus Campus Santa Apolonia Braganca Portugal Univ Tecnol Fed Parana Coordenacao Engn Software Campus Dois Vizinhos Curitiba Parana Brazil

ISBN: (数字)9783031774263

ISBN: (纸本)9783031774256;9783031774263

Skincare has become a constant demand among the population, who are increasingly concerned about their health. Furthermore, environmental issues arouse the interest of the masses in natural and sustainable products. this project proposes an approach for recommending thermal-based products based on a set of information provided by the user, combined with the results of computer vision algorithms (to identify the age and occurrence of wrinkles on the user's forehead). A list of recommended products is generated Based on the profile determined for the user. To predict wrinkles, for each facial image sent by the user, we apply a pre-processing step that segments and prepares the region of interest, which a CNN will process. As a CNN, we used the VGG16 architecture trained using a transfer learning and fine-tuning strategy, which improved the results obtained, reaching an accuracy of 92% in classifying wrinkles. An algorithm provided by the Deepface tool is used to predict the user's age, based on the sent picture. Which is crossed with the user's information to determine a level of aging in order to improve the quality of the recommended products.

关键词： Deep learning Wrinkle Detection Recommendation System Skin Care

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AutoPose: Pose Estimation for Prevention of Musculoskeletal Disorders Using LSTM 4th

AutoPose: Pose Estimation for Prevention of Musculoskeleta...

引用

4th International conference on Innovative Intelligent Industrial Production and Logistics, IN4PL 2023

作者： Bassino-Riglos, Francesco Mosqueira-Chacon, Cesar Ugarte, Willy Universidad Peruana de Ciencias Aplicadas Lima Peru

ISBN: (纸本)9783031493386

Office work has become the most prevalent occupation in contemporary society, necessitating long hours of sedentary behavior that can lead to mental and physical fatigue, including the risk of developing musculoskeletal disorders (MSDs). To address this issue, we have proposed an innovative system that utilizes the NAO robot for posture alerts and camera for image capture, YoloV7 for landmark extraction, and an LSTM recurrent network for posture prediction. Although our model has shown promise, further improvements can be made, particularly by enhancing the dataset’s robustness. With a more comprehensive and diverse dataset, we anticipate a significant enhancement in the model’s performance. In our evaluation, the model achieved an accuracy of 67%, precision of 44%, recall of 67%, and an F1 score of 53%. these metrics provide valuable insights into the system’s effectiveness and highlight the areas where further refinements can be implemented. By refining the model and leveraging a more extensive dataset, we aim to enhance the accuracy and precision of bad posture detection, thereby empowering office workers to adopt healthier postural habits and reduce the risk of developing MSDs. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Bad posture computer vision LSTM NAO robot Recurrent network

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Design of wall painting robot based on machine vision 4

Design of wall painting robot based on machine vision

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4th International conference on Artificial Intelligence and Electromechanical Automation, AIEA 2023

作者： Ma, Dandan You, Fahai Electrical and Information Engineering Beihua University Jilin132021 China Power generation Operation Department of Jilin Songhuajiang Thermal Power Co. LTD Jilin132021 China

ISBN: (纸本)9781510666412

In recent years, with more and more high-rises developing, the area of public buildings in our country is growing continuously. Each commercial space needs to decorate independently. the demand for the wall spraying robots is becoming more and more large, and the requirement is becoming more and more high. the spraying method proposed in this paper is based on the normal vector of the wall. the spray gun adjusts its attitude according to the normal vector of the wall, making the axis of the spray gun coincide with the normal vector of the wall, which can achieve better spraying effect. A sliding mode control algorithm based on adaptive adjustment is proposed, which combines adaptive motion control with sliding mode variable structure control to achieve the optimal trajectory tracking effect. © 2023 SPIE.

关键词： computer vision

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