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检索条件"任意字段=5th International Conference on Robotics and Automation Systems, Robotics 2010"

共 1356 条记录，以下是351-360 订阅

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Study Case: Teleoperated Voice Picking Robots prototype as a logistic solution in Honduras 5

Study Case: Teleoperated Voice Picking Robots prototype as a...

引用

5th international conference on Control and robotics Engineering (ICCRE)

作者： Ordonez Avila, Jose Luis Jimenez, Hector Marquez, Tania Munoz, Carlos Max Carrazco, Alberto Elena Perdomo, Maria Miselem, David Nolasco, David Univ Tecnol Ctr Amer Fac Engn San Pedro Sula Honduras

ISBN: (纸本)9781728167916

this paper provides a general description of the steps followed to construct an automated Voice Picking Robot. the proposed unit can avoid obstacles, identify objects picking and placing them at their right location. the model is equipped with wireless connectivity to allow its remote control, and it features four wheels and 45-degree rollers. the robot materials are aluminum plates, Polylactic Acid plastic, six NEMA 17 stepper motors, and the ATmega3287P microcontroller. Testing conducted on the robot functioning demonstrates that it behaves as expected and that it can become a useful technological aid in a variety of logistics, industrial, or manufacturing processes.

关键词： automation logistics robotics industrial application

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An Intrusion Signal Recognition Method for Substation Perimeter Security

An Intrusion Signal Recognition Method for Substation Perime...

引用

robotics, Control and automation Engineering (RCAE), international conference on

作者： Weijin Xu Yining Huang Zeyi Wang Yongxiang Jiang Shunjie Han Hong Jiang StateGrid Jilin Electric Power Co. Ltd. Changchun Power Supply Company Changchun China Changchun University of Technology School of Electrical and Electrical Engineering Changchun China Changchun University of Technology School of Electrical and Electronic Engineering Changchun China

ISBN: (数字)9781665459419

ISBN: (纸本)9781665459426

In order to improve the accuracy of intelligent substation perimeter alarm and reduce the false alarm rate, this paper proposes CEEMDAN combined with wavelet denoising method to preprocess the intrusion signal, using the support vector machine (SVM) as the core algorithm of the classifier, and optimizing the support vector machine (SVM) by the particle swarm (PSO) algorithm, because the particle swarm (PSO) algorithm is easy to achieve the disadvantage of local optimization. We used the gray wolf (GWO) algorithm and particle swarm algorithm (PSO) to optimize the support vector machine (SVM), experimental results show that the method has achieved a certain effect, in the perimeter intrusion signal to provide a scheme.

关键词： Support vector machines Substations automation Noise reduction Classification algorithms System identification Security

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AUV Path Planning Based on Improved Genetic Algorithm 5

AUV Path Planning Based on Improved Genetic Algorithm

引用

5th international conference on automation, Control and robotics Engineering, CACRE 2020

作者： Tao, Wei Yan, Shaokun Pan, Feng Li, Guanfang Naval Research Academy Pla Beijing China Institute of Csic Jiangsu Automation Research Lianyungang city Jiangsu Prov. China

ISBN: (纸本)9781728198880

the path planning model of AUV is established based on the improved genetic algorithm. In the model, the shortest path length is taken as the main criterion, and the boundary conditions are established with the range of collision avoidance and turning angle as constraints. the reasonable crossover and mutation adaptive probability models are designed. then, the simulation results show that the effectiveness of AUV path planning is verified by a specific example the algorithm can converge quickly, which proves the correctness and feasibility of the path planning model. © 2020 IEEE.

关键词： Autonomous underwater vehicles

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Research on Part Edge Detection Algorithm Based on Deep Learning

Research on Part Edge Detection Algorithm Based on Deep Lear...

引用

robotics, Control and automation Engineering (RCAE), international conference on

作者： Wang Zhou Weibo Yu Hongtao Yang School of Electrical and Electronic Engineering Changchun University of Technology Changchun Jilin China

ISBN: (数字)9781665459419

ISBN: (纸本)9781665459426

When the traditional edge detection algorithm is used for edge detection of parts, it will be affected by its surface reflective properties, machining and grinding tool marks, and uneven light intensity, resulting in noise points, missing edge points and reduced edge detection accuracy. this paper proposes an improved deeplabv3+ network and a part edge detection algorithm that combines the most peripheral constraint algorithm. First, the improved deeplabv3+ network is used to obtain segmented images with obvious boundaries, and then the most peripheral constraint algorithm is used for edge detection. the experimental results show that the algorithm proposed in this paper can accurately extract the complete and single-pixel edge contour of the part under the interference of factors such as uneven illumination intensity, and there are no noise points and burrs. the RMSE reaches 13.36, the PSNR reaches 25.60, and the SSIM reaches 0.9852, which meets the requirements of part edge detection accuracy.

关键词： Deep learning Image segmentation automation Image edge detection Lighting Machining Interference

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An Ensemble Algorithm Combining Multi-models and Proposed Chaotic Harris Hawks Optimization for Fire Flame Recognition

An Ensemble Algorithm Combining Multi-models and Proposed Ch...

引用

robotics, Control and automation Engineering (RCAE), international conference on

作者： Jian Wang Juan Nan Zhiyan Han School of Control Science and Engineering Bohai University Jinzhou China

ISBN: (数字)9781665459419

ISBN: (纸本)9781665459426

Fire recognition and early prevention are of great significance to reduce the loss caused by fire. In this paper, an ensemble algorithm combining multi-models and proposed chaotic Harris hawks optimization (CHHO) is proposed for fire flame recognition. the combined multi-models include decision tree (DT), K-nearest neighbor (KNN), least squares support vector machine (LSSVM) and extreme learning machine (ELM). Aiming at the problem that improper parameter will seriously affect the classification performance of the combined models, a chaotic Harris hawks optimization (CHHO) is proposed to optimize the parameters of models. Tent mapping, improved exploration mode and improved exploitation mode are introduced into CHHO to improve the performance of Harris hawks optimization (HHO). Finally, the output of each optimized model are obtained, then the final output are obtained by weighted average method. Experiment on a set of flame images shows that the proposed model is effective and has good classification performance.

关键词： Support vector machines Training Image recognition automation Extreme learning machines Fires Classification algorithms

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A Novel Fault Detection Method Based on Reconstruction Error and Clustering of Latent Variables

A Novel Fault Detection Method Based on Reconstruction Error...

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robotics, Control and automation Engineering (RCAE), international conference on

作者： Jian Wang Jing Xu Yakun Li School of Control Science and Engineering Bohai University Jinzhou China

ISBN: (数字)9781665459419

ISBN: (纸本)9781665459426

Traditional fault detection methods based on AutoEncoder (AE) usually complete fault detection by comparing reconstruction errors, and ignore a lot of useful information about the distribution of latent variables. In this paper, we propose a novel unsupervised fault detection method named One Dimension Convolutional Adversarial AutoEncoder (1DAAE), which introduce two new ideas: 1D convolution layers for autoencoder to get better features and the adversarial thought to impose the latent variables z to cluster into a prior distribution. then two anomaly scores are proposed to detect fault samples, one is based on reconstruction errors, the other is based on latent variables distribution. Finally, it is shown by experiments that the proposed method outperforms traditional AE-based, Adversarial AutoEncoder (AAE)-based, One Dimension Convolutional AutoEncoder (1DAE)-based, and 1DAAE-based algorithms on Tennessee Eastman Process.

关键词： automation Convolution Fault detection Clustering algorithms Feature extraction Robots

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A composite Literature review on Impact of Artificial Intelligence on Jobs Profiling

A composite Literature review on Impact of Artificial Intell...

引用

Advances in Science and Technology (ICAST), international conference on

作者： Soham Shreedhar Pandit Shaikh Bilal Naseem Department of IT S.K. Somaiya College Somaiya Vidyavihar University Mumbai India

ISBN: (纸本)9781665492645

the employment impact of advances in artificial intelligence has become a major concern in today's world in recent years. It is often discussed at conferences that rapid advances in machine learning, robotics, and other AI-related technologies could lead to massive unemployment in the country. this study focuses on comparing various research papers published by different authors based on the impact of Artificial Intelligence on human jobs. Various authors investigate the extent to which computerization and automation have the potential to replace available jobs. My research paper is based on thorough examination of research papers published by different authors and also online survey done by me via google forms. We studied the current and foreseeable effects of trends in job availability and human survival due to increase in automation in almost every sector. We examine the jobs most likely to be eliminated, the financial impact of automation, and how people may still be productive in a world when robots perform the majority of the labour.

关键词： automation Employment Government Machine learning Market research Internet Artificial intelligence

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Research on Mobile Robot Path Planning Based on IHBS-A* Algorithm

Research on Mobile Robot Path Planning Based on IHBS-A* Algo...

引用

robotics, Control and automation Engineering (RCAE), international conference on

作者： Hongbo Li Hong Zheng Gang Liu Jianwei Guo College of Computer Science and Engineering Changchun University Of Technology Changchun China

ISBN: (数字)9781665459419

ISBN: (纸本)9781665459426

With the rapid development of mobile robot robots over the years, path planning has become one of the key technologies for mobile robot applications. Although the traditional A* algorithm has high search efficiency and fast computing speed, the planned paths are easy to collide with obstacles, have more inflection points and redundant nodes, and the robot keeps turning in the process of actual operation, which seriously affects the efficiency of robot operation, so this paper proposes the improved algorithm IHBS-A* (Improve heuristic, Bidirectional node and Smoothing path): for the safety problem by improving the heuristic function and introducing safety coefficient, which makes the mobile robot keep a certain For the safety problem, the heuristic function is improved and the safety factor is introduced to make the mobile robot keep a certain safety distance from the obstacles. the results show that the IHBS-A* algorithm not only retains the advantages of the fast computing speed of A*, but also makes the path safer, and the path is smoother, and shorter, which improves the efficiency of the mobile robot.

关键词： Smoothing methods automation Heuristic algorithms Turning Search problems Path planning Safety

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Design, analysis and obstacle avoidance control of a smart wheelchair 2021

Design, analysis and obstacle avoidance control of a smart w...

引用

5th international conference on robotics, Control and automation, ICRCA 2021

作者： Ahmed, Waleed Huang, Xiaohua Ali, Wilayat Nanjing University of Science and Technology School of Mechanical Engineering Nanjing China Nanjing University of Science and Technology School of Mechanical Engineering Nanjing China Nanjing University of Science and Technology School of Automation Nanjing China

ISBN: (纸本)9781450387484

the wheelchair users are generally exposed to physical and psychological health problems, e.g., pressure sores and pain in the hip joint, associated with seating posture, or being inactive in a wheelchair for a long time. A smart wheelchair with back, thigh, and leg adjustment helps in daily life activities and health preservation. the seat elevating function of a wheelchair allows the user (lower limb amputation) to reach different heights. thus, this paper proposed the design, analysis and obstacle avoidance control of a smart wheelchair with sit-sleep-seat elevation functions. A 3D model of the wheelchair is designed in SolidWorks which is later used in MSC Adams (Automated Dynamic Analysis of Mechanical systems) to examine and prove the multi-body dynamics of a wheelchair. A fuzzy algorithm-based driving control system is designed to avoid the obstacle by getting information in the form of distance from the ultrasonic sensor and user-specified direction from the joystick's operation. the driving control system mainly focuses on the direction and velocity of the wheelchair. the designed driving control system has been implemented and tested in Gazebo simulator using Robot operating System (ROS). Simulation results verify the non-accidental behavior of the smart wheelchair. © 2021 ACM.

关键词： Computer aided design

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Distributed Parameter Estimation Using Invariant Manifold Approach 5

Distributed Parameter Estimation Using Invariant Manifold Ap...

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5th international conference on automation, Control and robotics Engineering, CACRE 2020

作者： Shao, Jingping Chen, Yang-Yang Henan University of Science and Technology Department of Automation Luoyang471023 China Southeast University School of Automation Nanjing210096 China

ISBN: (纸本)9781728198880

A novelty of distributed parameter estimation strategy for a class of nonlinear system with a time-varying parameter is proposed in this paper. the approach relies upon the concepts of invariant manifold and cooperative persistent excitation condition, does not require a priori knowledge of the time-varying parameters. In addition, it is shown that the parameter estimation error is not only bounded but also can converge to a small neighborhood of the origin for sufficiently large value of gain. A numerical simulation example is presented to demonstrate the effectiveness of the proposed method. © 2020 IEEE.

关键词： Numerical methods

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