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检索条件"任意字段=Proceedings of the 2019 2nd International Conference on Control and Robot Technology"

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FPGA Interfaced IoT System for Smart Medical robot Monitoring System 2

FPGA Interfaced IoT System for Smart Medical Robot Monitorin...

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2nd international conference on Computer, Communication and control, IC4 2024

作者： Tharwin Kumar, R. Abinaya, S.P. Prakash, D. Janaki, N. Sivarajan, S. Mani, P. Puducherry Technological University Department of Electrical and Electronics Engineeri Puducherry India Velammal Engineering College Department of Information and Technology Chennai India S. A Engineering College Department of Electronics and Communication Engineering Chennai India Vels Institute of Science Technology and Advanced Studies Department of Electrical and Electronics Engineering Tamilnadu Chennai India Vel Tech Multi Tech Dr. Rangarajan Dr Sakunthala Engineering College Avadi Department of Electrical and Electronic Engineering Chennai India K. Ramakrishnan College of Technology Electronics and Communication Engineering Trichy India

ISBN: (纸本)9798350387933

New and improved technology for illness prevention, early detection, and treatment are being encouraged by rising health consciousness and rising medical care costs. The creation of a low-cost initial verification platform layout depends on the FPGA-based system. It has been suggested in the past that sensor nodes built on the FPGA platform would be entry-level IoT devices. The goal of this paper is to create an IoT-based smart health tracking system. The system was created to use wearable technologies and FPGA to gather health data. This technology employs a robot's sensors as an intelligent sensor interface. A multi-sensor healthcare platform may be coupled with the FPGA-based IoT low-end programmable pulse sensor interface architecture to monitor a person's pulse vital sign. Three sensors the heartbeat sensor, temperature sensor, and blood pressure sensor are employed in this system to collect patient data. It has the ability to constantly track a patient's vital signs. Patients' conditions are communicated to loved ones and medical personnel via SMS and the Blynk website. In an Internet of Things context, the complexity of the code may be minimized by using reconfigurable smart sensor interface with a robot. © 2024 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Design of remote inspection system for high-level canal of hydropower station based on cluster centralized control of quadrotor UAV 2

Design of remote inspection system for high-level canal of h...

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2nd international conference on Artificial Intelligence and Autonomous robot Systems, AIARS 2023

作者： Wan, Xin Liu, Min Guoneng Daduhe Big Data Service Co. Ltd Chengdu610049 China

ISBN: (纸本)9798350324358

With the gradual popularization of smart power plants, the demand for comprehensive monitoring and perception of power plant production is gradually increasing through advanced sensor measuring devices and network communication technology. Among all kinds of UAV (unmanned aerial vehicle), quadrotor helicopter is an excellent tool to perform this task because of its unique characteristics of landing/taking off without runway, hovering and free flight, easy to carry and portability. In this paper, a remote inspection system for high-level canals of hydropower stations is designed, which is based on automatic hangar UAV and uses AI algorithm to automatically identify dangerous entities. The platform integrates interface display, user role authority management, inspection task flow, alarm flow, flood discharge inspection flow, inspection history review, intelligent analysis and other functions. And the algorithm development and design of flocking control for quadrotor aircraft group are realized from mathematical derivation. The test results show that the system can receive all the data in time, so that it can respond to possible equipment accidents in time, and the practical application effect is good. The reliability of this system is verified. © 2023 IEEE.

关键词： Inspection

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Research on Distributed control of Energy Storage Based on Big Data Algorithm 2

Research on Distributed Control of Energy Storage Based on B...

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2nd international conference on Artificial Intelligence and Autonomous robot Systems, AIARS 2023

作者： Lu, Guanghua Wang, Zenghai Sun, Yingxue Ma, Lijun Yang, Jie State Grid Information & Telecommunication Co. Ltd Beijing100032 China

ISBN: (纸本)9798350324358

At present, the distribution of distributed power resources in China is extremely uneven, which brings many problems to the planning and operation of distribution network. It is worth pondering how to effectively alleviate the current situation of unbalanced development of distributed generation, and promote the renewal of China's energy pattern with new forms. The continuous development of big data technology has brought many new ideas and challenges to the analysis and control of power system. With the development of distributed power, energy storage, monitoring and protection devices, the traditional distribution network has gradually evolved into an active distribution network with considerable controllability. The control strategy of distributed energy storage (DES) system based on consistency algorithm is proposed to reduce the loss of energy storage system during charging and discharging. In this system, each agent represents a DES system in the microgrid. At the end of this paper, the extended IEEE33 active distribution network is taken as an example to illustrate the voltage out of limit problem caused by the access to the distributed power supply. By controlling the charging and discharging state of the electric vehicle charging pile, the safe and stable operation of the distribution network is realized with less switching operations, and the feasibility and effectiveness of the data driven self-learning control method of the distribution network are verified. © 2023 IEEE.

关键词： Electric power distribution

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Fuzzy Predictive controller for Trajectory Tracking of Differential-Drive Mobile robot 2

Fuzzy Predictive Controller for Trajectory Tracking of Diffe...

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2nd international conference on Electronics, Energy and Measurement, IC2EM 2023

作者： Hedroug, Mohamed Elamine Bdirina, ElKhansa Guesmi, Kamel Laadi University of Djelfa Djelfa Algeria CReSTIC University of Reims Reims France

ISBN: (纸本)9798350314243

The aim of this paper is to develop a fuzzy predictive control approach for nonholonomic mobile robots. To achieve this objective, we introduce an innovative strategy to address specific challenges that emerge when utilizing linear models for nonholonomic mobile robots. The approach employed involves extending the error model through the integration of a Takagi-Sugeno fuzzy logic system. By considering various values of dynamic behavior, multiple linear error models are derived, providing the groundwork for formulating the T-S fuzzy model. Importantly, the resulting fuzzy model maintains alignment with the original model while simultaneously enhancing its precision. The practical effectiveness of our proposed methodology is demonstrated through its application in guiding a nonholonomic mobile robot along a predefined reference path within two distinct tracking scenarios. © 2023 IEEE.

关键词： Mobile robots

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A Hand Gestures Recognition System for Industrial robot control 2

A Hand Gestures Recognition System for Industrial Robot Cont...

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2nd international conference on Digital Society and Intelligent Systems, DSInS 2022

作者： Liu, Tiansong Shi, Yuli Zhang, Jun Jiangsu Union Technical Institute Changzhou Liu Guojun Branch Changzhou China

ISBN: (纸本)9781510663244

In order to improve the interactivity of industrial robot, this paper has designed a hand gestures recognition system for industrial robot control. The system contains two MPU6050 modules, Arduino Uno, computer and a ABB IRB 120 industry robot. Two MPU6050 modules collects the human hands movement signals which will be transmitted to Arduino Uno to process. The upper computer can receive signals processed and send commands through serial port. Also, the upper computer can send signals which include the robot movement mode parameters, speed parameters, direction parameters and so on to ABB IRB ***, the movements of the robot can be controlled by the movement of both hands where the prototypes were worn. The experimental results show that the correct rate of gesture recognition of the system higher than is 99% and the system works well, which achieves the expected purpose. © 2023 SPIE.

关键词： Industrial robots

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Hardness Recognition of Fruit and Vegetable Based on robot Tactile Perception 2

Hardness Recognition of Fruit and Vegetable Based on Robot T...

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2nd international conference on robotics, Artificial Intelligence and Intelligent control, RAIIC 2023

作者： Lan, Huijuan Zhang, Dunfeng Wei, Jingyi Liang, Shuang Southwest University of Science and Technology School of Information Engineering Mianyang China Southwest University of Science and Technology Robot Technology Used for Special Environment Key Laboratory of Sichuan Province Mianyang China School of Northwestern Polytechnical University Xian China

ISBN: (纸本)9798350328004

Aiming at the inaccurate recognition of fruit and vegetable hardness in the damage-free grasping operation of picking robot, we propose a method called proper orthogonal decomposition-artificial neural network (POD-ANN) in this paper. First, the symmetrical clamping mechanism of two fingered manipulator is constructed, and the pressure series data set is established through the fingertip flexible tactile sensor. Second, the classification and recognition results of the collected tactile feature sequences are compared with support vector machine (SVM) and K - nearest neighbor (KNN) algorithms. The comparison results show that the POD-ANN algorithm achieves a recognition rate of 88.1% on the two finger robotic arm platform, which has higher recognition accuracy compared to the other two methods. Simultaneously, it also shows great potential in tactile classification tasks. © 2023 IEEE.

关键词： Hardness

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Study on the mechanical system of a docking robot with fork-holding of two sides for palletized goods on a conveyor line 24

Study on the mechanical system of a docking robot with fork-...

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2024 2nd international conference on robotics, control and Vision Engineering, RCVE 2024

作者： Cao, Chongzhen Wu, Yusen Liang, Fuxing Wang, Fengqin Sun, Chao Hu, Shunyu School of Mechanical and Electronic Engineering Shandong University of Science and Technology China

ISBN: (纸本)9798400716706

Aiming at the problem that pallets with free jack is perpendicular to the direction of the conveyor line and the terminal connection site of the conveyor line is limited, a connection robot with fork-holding of two sides for palletized goods was designed. The scheme and workflow of the robot were designed;The structure of a connection robot with fork-holding of two sides was designed in detail, including holding fork, lifting mechanism, walking mechanism;The stress and strain of the robot were analyzed by finite element analysis software to investigate the robot stiffness, At a given load, the maximum stress is 204.17 MPa and the maximum deformation is 5.53mm;According to the prototype test, the maximum deformation of the fork is 5.9mm relative to the theoretical position when the load is borne, and the deformation is reduced to 1.8mm after the load is removed. The walking system walks in a straight line with the front and back of the walking system, and the left and right deviation is about 4.2mm. The rigidity of the fork and the gantry structure meet the requirements of use. © 2024 ACM.

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Kane Formulation Based Dynamic Modelling and Neural Network Adaptive Sliding Mode control for a Redundantly Actuated Parallel robot 2nd

Kane Formulation Based Dynamic Modelling and Neural Network ...

引用

2nd international conference of Mechanical System Dynamics, ICMSD 2023

作者： Cui, Manjun Liang, Dong Zhang, Junpeng Jia, Huizhou College of Mechanical Engineering Tiangong University Tianjin China Tianjin Key Laboratory of Modern Electromechanical Equipment Technology Tiangong University Tianjin China

ISBN: (纸本)9789819980475

The research object of this paper is a redundantly actuated parallel robot named RAParM-I. First, Kane formulation together with Lagrange multiplier is applied to analyse the rigid body dynamics of RAParM-I parallel robot, and a compact rigid body dynamic model of the parallel robot is obtained. Then, this article designs a kind of adaptive sliding mode controller based on Radial Basis Function (RBF) neural network and exponential reaching law to solve the issue that it is difficult to establish precise dynamic model of real prototype of the robot in practical engineering. This method uses RBF neural network to approximate uncertainties caused by modeling errors. Finally, the trajectory tracking control simulation experiment of the parallel robot under redundant actuation mode is carried out using the presented control scheme, and the results are compared with those of the traditional PD feedback control scheme. The simulation result suggests that the control performance of adaptive sliding mode controller based on RBF neural network and exponential reaching law is obviously better than the PD control. The research of this paper lay a sound foundation for the fabrication and practical application in electronic packaging of the parallel robot in future. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Dynamic models

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Design of Intelligent control System for Cantilever Roadheader Based on BP Neural Network Algorithm 2

Design of Intelligent Control System for Cantilever Roadhead...

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2nd international conference on Artificial Intelligence and Autonomous robot Systems, AIARS 2023

作者： Huang, Yuejuan Huo, Chunyan Li, Tianshu Zeng, Fanju Ding, Juan Harbin Huade University Harbin150025 China

ISBN: (纸本)9798350324358

Cantilever roadheader has many advantages. When working in roadway, it can continuously excavate, avoid blasting vibration, and reduce overbreak. Due to the influence of dust and water mist in the working face during construction, it is difficult to control and make decisions on roadheader, which is easy to cause over-excavation and under-excavation, and it is difficult to ensure the forming quality of roadway, so it is urgent to improve the intelligent level of tunneling operation. In order to enrich the autonomous rectification control strategy of roadheader and approach the target of industrial application, this paper establishes a tracking control model with the goal of convergence of posture deviation of the fuselage, and proposes a tracking control method of roadheader based on parameter optimization of back propagation neural network (BPNN) for the purpose of improving the convergence efficiency of the model. The simulation results show that the trajectory tracking algorithm based on improved BPNN has small errors and excellent accuracy, which can reach more than 94% after many iterations. The control model based on BPNN is simple and easy to realize, and the posture deviation of the machine body can converge to zero in limited tracking steps and the speed adjustment process is stable, which proves that the trajectory tracking effect under the control of this model is good. © 2023 IEEE.

关键词： Quality control

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An Innovative Inverse Kinematics for Bionic robot Arms Based on Directional Tangent Matrix 2

An Innovative Inverse Kinematics for Bionic Robot Arms Based...

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2nd international conference on Automation, robotics and Computer Engineering, ICARCE 2023

作者： Ju, Yiran Yu, Meng University of British Columbia Department of Electrical and Computer Engineering VancouverV6T 1Z4 Canada College of Astronautics Nanjing University of Aeronautics and Astronautics Nanjing China

ISBN: (纸本)9798350308341

In this paper, we present an innovative inverse kinematics (IK) for Bionic robot Arms using what we call Directional Tangent Matrix (DTM). We start by revisiting the concept of fixed-axis rotation, introducing the DTM as an alternative to the well-known direction cosine matrix (DCM). Then, the DTM is used for creating kinematic equations of general robot arms, simplifying these equations into a more manageable form: a second-order polynomial with four unknowns. We focus on solving these equations for robot arms with roughly parallel Joint Axes#3#4#5. The solutions we find are then applied in realtime to the actual robot arms using polynomial continuation method. Our approach offers a new way to develop and control Bionic robot Arms, which could be more efficient and flexible compared to existing methods. © 2023 IEEE.

关键词： Inverse kinematics

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