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检索条件"任意字段=7th International Conference on Robotics and Automation Engineering, ICRAE 2022"

共 413 条记录，以下是51-60 订阅

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Research on Bird Tracking Algorithm Based on Infrared Target Recognition

Research on Bird Tracking Algorithm Based on Infrared Target...

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international conference on robotics and automation engineering (icrae)

作者： Hanwu Luo Wenzhen Li Shikuan Chen Guangxin Jiang Hongguang Wang Peng Lv Junpeng Wang East Inner Mongolia Electric Power Company Limited Hohhot China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shengyang China

Frequent bird activities in substations, converter stations and other important power places could cause short circuit, tripping and other serious accidents. To ensure the smooth running of power equipment, the acousto-optic mode method is now applied to disperse birds, while the broadcast method is not aimed at bird targets, in this case, birds can adapt quickly and make the dispersal device fail. To solve the above problems, this paper proposed a bird autonomous tracking algorithm based on infrared target recognition, which realizes the recognition and positioning of bird targets through fast template matching, and carries out the research on pointing and tracking control method for a two-dimensional PTZ based on the positioning information. the simulation and experimental results show that the method can accurately identify bird targets and achieve directional tracking, which can effectively improve the defects of bird driving equipment, such as insufficient directivity and general pertinence, and greatly enhance the automation of bird driving operation in power grid stations.

关键词： Degradation Target tracking Substations Image recognition automation Target recognition Process control

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Micro-Seismic Event Detection using statistical feature extraction and machine learning techniques 7

Micro-Seismic Event Detection using statistical feature extr...

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7th IEEE international conference for Convergence in Technology, I2CT 2022

作者： Chakraborty, Mainak Das, Manisha Aruchamy, Srinivasan Indian Institute of Engineering Science and Technology School of Mechatronics and Robotics Shibpur India CSIR- Cmeri Robotics and Automation Group Durgapur India

ISBN: (纸本)9781665421683

In this paper, we propose a novel methodology for micro-seismic event detection using multiple statistical feature extraction and machine learning techniques. the method is based on amplitude thresholding and is grounded on the idea, that each relevant seismic event crosses a particular threshold value. We have created a unique dataset of movement, hammering and no-movement using off-the-shelve geophones and 16-bit analog to digital converter. the data is sampled at 10000Hz. Each recorded dataset is of duration 2 min. the data recorded is passed through amplitude thresholding method. Multiple statistical features like root mean square, standard deviation, variance, minimum value and maximum value are extracted from the dataset in both time and frequency domain. k-fold cross validation is done to obtain validation accuracy. We have explored various machine learning algorithms and the results are discussed here. Among all classifiers, Random Forest algorithm achieves the overall highest accuracy of 92.76%. © 2022 IEEE.

关键词： Decision trees

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Climbing Stairs Gait Planning and Virtual Simulation for Biped Robot Based on three-Dimensional Inversed Pendulum

Climbing Stairs Gait Planning and Virtual Simulation for Bip...

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international conference on robotics and automation engineering (icrae)

作者： Wenwei Li Lili Li Lei Zhou Zelong Zhuang Ying Chen South China Robotics Innovation Research Institute Foshan China Shunde Polytechnic Foshan China

In order to explore the climbing stairs capability of a biped robot, this paper planed the climbing stairs gait based on a series of three-dimensional inversed pendulum. Firstly, an improved mechanical model of the three-dimensional inversed pendulum was explained. Secondly, according to several necessary boundary conditions, the continuous trajectory of the center of gravity and the ankle joints of the biped robot were designed based on high-order polynomial respectively. thirdly, the joint angle curves of the 10 degrees of freedom of the biped robot's legs were calculated using the geometric relations. Finally, a virtual prototype of the biped robot was built in ADAMS, and the coordinated climbing stairs movement was realized under the control of our designed climbing stairs gait. the simulation results showed that the biped robot can climb stairs successfully and exhibited a good gait stability in the virtual environment.

关键词： Legged locomotion Solid modeling Robot kinematics Simulation Prototypes Stairs Robot sensing systems

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Cyber Physical System of robotics Training Set in Rajamangala University of Technology Tawan-ok Education and Training for automation 4.0 in thailand Smart Laboratory 7

Cyber Physical System of Robotics Training Set in Rajamangal...

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7th international conference on Information Technology, InCIT 2023

作者： Singsri, Pongpat Kosiyanurak, Karin thongtan, Woramet Panya-Isara, Chawalit Suwannatat, Tassaphan Phiromlap, Srichol Rajamangala University of Technology Tawan-ok Information and Communication Technology Department Cholburi Thailand Rajamangala University of Technology Tawan-ok Mechatronics and Robotics School of Engineer and Innovation Cholburi Thailand

ISBN: (纸本)9798350358698

the design and implementation of a robotics training set with a 'repeat system' concept. the system is built upon principles of signal exchange, collaboration among multiple devices, and integrated decision-making. Two independent robots operate within the system, with a focus on object selection and placement. the training set underwent initial design phases and equipment installation, with the transition from proximity sensors to a camera for improved object classification accuracy. the hardware inventory includes robots, conveyors, sensors, PLCs, and various auxiliary components, while software tools such as PLCnext Engineer, DobotStudio Pro, Node-RED, and CiRA-CORE facilitate programming and system control. the control system involves a series of signal exchanges and workflows, including object handling, image processing, and reporting. Real-time data visualization offers insight into system operations, including object processing. Overall, this robotics training set had average cycle time of 17, 18, and 20 seconds/cycle for detecting blue, black, and yellow objects, respectively. © 2023 IEEE.

关键词： Decision making

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Distributed Reactive Navigation of Robotic Teams for Sweep Coverage of a Corridor Environment with an Obstacle Course

Distributed Reactive Navigation of Robotic Teams for Sweep C...

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international conference on robotics and automation engineering (icrae)

作者： A. Matveev K. Gordievich S. Gusev Mathematics and Mechanics Faculty Saint-Petersburg State University Saint Petersburg Russia Mathematical Robotics Science Division Sirius University Sirius City Russia

A team of mobile robots travels with an upper-bounded speed in a corridor environment, which contains obstacles. the team should sweep the corridor with a given speed, while autonomously lining up on a moving cross-section of the corridor and evenly distributing themselves over this section. the robots should also avoid collisions with one another, the obstacles, and the corridor sides. In the parts of the corridor containing obstacles, the requirement to achieve or maintain the even distribution is forcedly relaxed. However, the even distribution should be automatically restored after such a part is left behind. In its local frame, every robot has access to the corridor direction and to the relative coordinates of the objects that lie within a finite range of visibility the robots are unaware of the team size and the corridor width, are unable to distinguish between the peers or play different roles in the team. A computationally inexpensive and distributed control algorithm is presented that solves the mission. the performance of the proposed navigation law is justified by a mathematically rigorous global convergence result and is confirmed by computer simulation tests.

关键词： automation Navigation Robot kinematics Computer simulation Decentralized control Drives Mobile robots

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Environmental Awareness in Preschool Education via Educational robotics and STEAM Education 7

Environmental Awareness in Preschool Education via Education...

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7th South-East Europe Design automation, Computer engineering, Computer Networks and Social Media conference, SEEDA-CECNSM 2022

作者： Christidi, Zoe Christopoulou, Eleni Ionian University Department of Informatics Corfu Greece

ISBN: (数字)9798350398588

ISBN: (纸本)9798350398588

Nowadays there is a strong interest in the educational community and society in innovative technologies and more specifically on STEAM (Science, Technology, engineering, Art and Mathematics) education and robotics. Via STEAM education and educational robotics the learning process and the development of students' skills can undoubtedly be supported and developed. Additionally, students advance problem-solving and 21st century skills, like critical thinking, creativity and communication. the main aim of our research is to raise the environmental awareness of kindergarten students who were involved in educational robotics and STEAM education activities. this research study was completed as part of a real process, where our students, aged 4 to 6 years old, participated in eight educational activities focusing on water pollution and utilizing the programmable Blue Bot robot. Our research revealed that young students developed and acquired knowledge of programming and algorithmic thinking in a playful way through the use of the educational robot and managed to develop their cognitive and communication skills. © 2022 IEEE.

关键词： Students

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Comparison of Object Detection Technique for Applications in ETAT automation Training Set 7

Comparison of Object Detection Technique for Applications in...

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7th international conference on Information Technology, InCIT 2023

作者： Kosiyanurak, Karin Singsri, Pongpat Seangsri, Soontaree Promput, Sommart Rajamangala University of Technology Tawan-ok School of Engineering and Innovation Department of Mechatronics and Robotics Engineering Chonburi Thailand Rajamangala University of Technology Tawan-ok Faculty of Science and Technology Department of Information and Communication Technology Chonburi Thailand

ISBN: (纸本)9798350358698

Object detection is a type of artificial intelligence (AI) that is currently being developed and used widely. It can classify and detect objects in images or videos. this research aims to investigate object detection that is suitable and accurate for detecting the color of the workpieces in the training set. this study will experiment comparison of three object detection models: 1. OpenCV Python code via the thonny software. Using the BGR color separation principle, the range of color values must be specified so that the model can separate different colors. 2. V4-tiny and 3. V7-tiny are models that use model training principles in the CiRA-CORE Platform. In this study, 1,271 images of workpieces processed with the Augmentation Technique were utilized to train the model. and 240 images for testing the model. To analyze of find a suitable and accurate model for detecting the color of workpieces Because light is important in visual or object detection in real-time this study divided the experiment into two conditions: LED Lighting and without LED Lighting. the results showed that V7-tiny is an object detection model that can detect the color of the target in both lighting conditions. the V7-tiny model has an accuracy of 97.92%. © 2023 IEEE.

关键词： Object detection

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the Piranha Foraging Optimization Algorithm Oriented to Numerical Optimization Problems

The Piranha Foraging Optimization Algorithm Oriented to Nume...

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international conference on robotics and automation engineering (icrae)

作者： Shuai Cao Qian Qian Yongjun Cao Wenwei Li Lei Zhou Hongan He Weixi Huang Jianan Liang School of Information Engineering and Automation Kunming University of Science and Technology Kunming China Robotic Laboratory South China Robotics Innovation Research Institute Foshan China South Glass Technology Co. LTD Foshan China

this paper provides an efficient meta-heuristic optimization algorithm for solving continuous optimization problems in the field of numerical and engineering optimization: Piranha Foraging Optimization Algorithm (PFOA). the algorithm is inspired by the flexible and mobile foraging behavior of piranhas, which are classified into three modes of localized group attack, bloodthirsty swarming attack, and scavenging foraging, and two dynamic search behaviors of exploration and exploitation are constructed by simulating the above behaviors. PFOA allows the population to be diverse at different times of the search by means of a non-linear parameter adjustment strategy, a piranha population survival strategy and a reverse escape search strategy. Using visual means to evaluate the optimization efficiency of PFOA, this paper developed experiments on 23 standard benchmark functions and compared the results with 15 well-known meta-heuristics. Experimental results based on statistical methods such as Wilcoxon rank sum test and Friedman test in multiple dimensions (30, 50, 100 and fixed dimensions) show significant differentiation, stable and significant improvement in algorithm performance compared to other compared algorithms. the unique advantages of PFOA in terms of convergence speed and exploration utilization balance can avoid getting trapped in local optimum regions and effectively solve optimization problems with complex search spaces of multiple dimensions.

关键词： Visualization Statistical analysis Heuristic algorithms Sociology Metaheuristics Search problems Classification algorithms

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Prolonging Robot Lifespan Using Fatigue Balancing with Reinforcement Learning 7

Prolonging Robot Lifespan Using Fatigue Balancing with Reinf...

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7th international conference on Mechanical engineering and robotics Research (ICMERR)

作者： Costa, Francesco Mozaffari, Saeed Alirezaee, Reza Ahmadi, Madjid Alirezaee, Shahpour Univ Windsor Elect & Comp Engn Dept Windsor ON Canada

ISBN: (纸本)9781665490511

Over the last quarter century, industrial robots have become an indispensable element in modern manufacturing and assembly. While the costs of implementing these robot systems can be high, over time these expenditures are offset by their longevity and productivity. One of the major costs of existing robotic systems is the maintenance and replacement of individual robots. Currently, process and manufacturing robots are programmed by robotic technicians with predetermined motions based on process requirements and product specifications. these repetitive motions tend to wear out specific joints faster than others, causing total robot failure and precipitating the replacement of the entire robot. this paper leverages machine learning algorithms to modify nonproduction critical robot movements to balance the physical load at each joint, with the goal of extending the useful life of these industrial robots in a manufacturing environment. Experimental results show that Q-Learning balanced the average load on robot joints by roughly 14%.

关键词： Industrial Robots lifespan Robot Fatigue robot motor wear load balancing on robot joints Reinforcement learning in robotics

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Exoskeleton Human-Computer Interaction Based on Deep Learning and sEMG Imaging 7

Exoskeleton Human-Computer Interaction Based on Deep Learnin...

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7th international conference on Pattern Recognition and Artificial Intelligence, PRAI 2024

作者： Xu, Wanni Guan, Minghua Fu, You-Lei Xie, Weifang Xiamen Academy of Arts and Design Fuzhou University Xiamen China School of Design and Fashion Zhejiang University of Science & Technology Zhejiang China College of Big Data and Internet Shenzhen Technology University Shenzhen China

ISBN: (纸本)9798350350890

this research develops an optimized exoskeleton design for human-robot interaction, using surface electromyography (sEMG) to detect patient movement intentions and motor functions. the study involved rapid identification of human gait events, joint angles, and movements, using data from six individuals performing various movements on a 3D force platform. the exoskeleton and motion analysis system (MAS) processed this data, which was utilized for model training and validation. the evaluation was conducted using Root-mean-square error (RMSE) and Correlation Coefficient (CC). We introduced a novel sEMG analysis method leveraging deep and integrated learning to directly classify sEMG signals, achieving high classification accuracy (AUC of 0.9554). A fast-training classification technique utilizing motor-related cortical potentials and varied neural oscillations also exceeded the accuracy of existing classifiers, effectively supporting joint motion recognition and prediction. the optimized exoskeleton provides a viable and safe rehabilitation alternative for patients with neurological disabilities, offering a potential replacement for conventional therapies. © 2024 IEEE.

关键词： Exoskeleton (robotics)

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