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检索条件"任意字段=International Conference on Advances in Science, Engineering and Robotics Technology"

共 47675 条记录，以下是421-430 订阅

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Eco-friendly Smart Sensor Adjustment using Deep Reinforcement Learning Approach 2

Eco-friendly Smart Sensor Adjustment using Deep Reinforcemen...

引用

2nd international conference on advances in Computation, Communication and Information technology, ICAICCIT 2024

作者： Reethika, A. Lavanya, S. Sheetal, Attar Mahay Vanitha, C.N. Priyadharsini, S. Jenolin rex, M. Department of Electronics and Communication Engineering Sri Ramakrishna Engineering College Coimbatore India Department of Computer Science and Engineering Sri Ranganathar Institute of Engineering and Technology Coimbatore India Department of Computer Science and Engineering CMR Institute of Technology Bengaluru India Department of Computer Science and Engineering Kongu Engineering College Erode India Department of Electronics and Communication Engineering KPR Institute of Engineering and Technology Coimbatore India Department of Computer Science and Engineering Mahendra College of Engineering Salem India

ISBN: (纸本)9798331541217

Today's networking and telecommunications industries greatly benefit from the growth of highly sturdy and energy-effective Internet of Things through communication sensors. Device efficiency may be increased while sensor energy consumption is reduced by calibrating sensors to use less power. Reinforcement learning (RL), which has garnered significant interest from researchers, is being widely applied to achieve intelligent automation in several academic disciplines today. Resource optimization has not received much attention in research, despite the Internet of Things using a large variety of sensors. By investigating a revolutionary approach to power conservation with the use of reinforcement learning, the creative study aims to produce a novel generation of Internet of Things with standardized power sources to optimize source consumption. A closed-grid, numerous power source controlling system for sensor consumption has been revealed. Our recommended strategy, which uses Deep Q learning, can help Internet of Things sensors optimize their operation. This study focused only on energy-effective sensor and simulation results show that the planned approach works well. © 2024 IEEE.

关键词： Telecommunication industry

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Path Planning for Manipulator Based on Optimized Particle Swarm Algorithm

Path Planning for Manipulator Based on Optimized Particle Sw...

引用

2024 IEEE international conference on robotics and Biomimetics, ROBIO 2024

作者： Cui, Huanhuan Xu, Xiangrong Miao, Haining Wang, Weijing Rodic, Aleksandar Petrovic, Petar B. Wang, Haiyan Xu, Shanshan School of Mechanical Engineering Anhui University of Technology Ma'anshan Anhui243002 China School of Computer Science and Technology Anhui University of Technology Ma'anshan Anhui243002 China University of Belgrade Faculty of Mechanical Engineering Belgrade11120 Serbia School of Osaka Medical Engineering Ma'anshan University Ma'anshan Anhui243100 China

ISBN: (纸本)9781665481090

To solve the problems of premature convergence and easy to fall into local optimality search of traditional particle swarm algorithm (PSO) in robotic arm path planning. In this paper, Gaussian perturbation and natural selection strategy are introduced, and an adaptive inertia weight is constructed to improve the convergence speed and global search ability of the particle swarm algorithm as well as the ability to jump out of the local optimum, and also to make it more adaptable to the complex working environment. The effectiveness of the algorithm is verified by using MATLAB to establish a simulation model of the robotic arm. Under the same experimental conditions, compared with the traditional particle swarm algorithm, the optimized algorithm achieves significant improvement in convergence speed, convergence accuracy and global search ability, which provides strong support for the research and practical application in the field of robotic arm path planning. © 2024 IEEE.

关键词： Robotic arms

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Fast-Repair RRT∗ : Path Planning Algorithm for Mobile Robots in Semi-static Environment 7

Fast-Repair RRT∗ : Path Planning Algorithm for Mobile Robot...

引用

7th international conference on robotics, Control and Automation engineering, RCAE 2024

作者： Zhan, Zihui Zhu, Chen Xiamen University of Technology School of Opto-Electronic and Communication Engineering Xiamen China

ISBN: (纸本)9798350355642

Path planning algorithms have become particularly critical with the increasing demand for mobile robots to perform complex tasks, especially for automated navigation in scenes such as warehousing and logistics. In response to this need, this paper proposes a sampling-based path planning algorithm (Fast-Repair RRT*). The algorithm is designed to achieve path repair during local changes in the environment, and it does not require global path replanning. It is divided into two stages: initial path generation and path repair. First, an improved RRT∗ algorithm is used to generate the initial path. Then, a path repair method is introduced when the initial path is infeasible. This method is able to obtain feasible paths in a timely manner, and the path considers factors like path length, smoothness, and memory usage. Compared with other planning algorithms, Fast-Repair RRT∗ is able to generate higher quality initial paths. Through simulated experiments conducted in a semi-static environment, and the experiments confirmed the effectiveness and efficiency of the algorithm in path repair in such environments. © 2024 IEEE.

关键词： Repair

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Trans-Domain Sea-Air Integrated Robot 3

Trans-Domain Sea-Air Integrated Robot

引用

3rd IEEE international conference on Recent advances in Systems science and engineering, RASSE 2023

作者： Jacob, Philip C Thomas, Anish Adi Shankara Institute of Engineering and Technology Department of Robotics and Automation Kalady India Saintgits College of Engineering Department of Electronics Engineering Kottayam India

ISBN: (纸本)9798350341676

The Trans-Domain Sea-Air Robot (TSAR) design with trans-domain capabilities or converting a normal drone to hybrid technology. It is still a major challenge to achieve miniaturization and enhance the maneuverability and overwater reliability of transmission. Trans-Domain robot is proposed in this work which achieves free trans-domain motion and has the advantages of small size, high maneuverability and high reliability for autonomous water vehicle operation. The proposed has a dc motor-propellers platform which satisfies the power and small diameter requirements and the blades reduce water drag and facilitate transportation. Further, a stable and efficient trans-domain attitude adjustment system is presented which effectively realizes trans-domain attitude switching. Based on the characteristics of the body additional ES32 with a camera was been given in order to image processing for human body detection and fish shoal localization. The Sea-Air Integrated Robot is a conceptual design for a multi-purpose robotic system that can operate both on land and water. The robot is designed to be a versatile platform that can perform a wide range of tasks, from surveillance and inspection to scientific research and rescue operation. The TSAR has many potential applications, including environmental monitoring, oil and gas exploration, search and rescue operations, and military surveillance. Its modular design and ability to operate in multiple environments make it a versatile platform that can be adapted to a wide range of tasks. © 2023 IEEE.

关键词： Maneuverability

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Dual Purpose IoT Enabled Smart Cleaner Hexabot with Edge Detection Mechanism

Dual Purpose IoT Enabled Smart Cleaner Hexabot with Edge Det...

引用

2024 international conference on advances in Computing Research on science engineering and technology, ACROSET 2024

作者： Shaikh, Mohammad Shahnawaz Bhushanwar, Kush Khodifad, Nilesh Ali, Syed Ibad Parul Institute of Engineering and Technology Parul University Vadodara India

ISBN: (纸本)9798350388800

IoT enabled dual purpose low cost portable Hexaboat for table and floor cleaning is a bluetooth controlled autonomous device. It comprises protection from falling though the table while cleaning as well as obstacle detection feature to detect obstacle coming in the path while cleaning. Hexagon shape of this smart cleaning robot exhibits its uniqueness to approach sharp corners for cleaning. It provides Bluetooth controlled mop and sanitizing facility. It consist dedicated tank for water and sanitizer. Motion of Hexabot is autonomous as well as Bluetooth controlled. Garbage collection feature through multiple nodes made over whole perimeter of Hexabot shows its enhanced capability of garbage collection. Two exhaust fans offer excellent sucking of garbage from sharp corners also. It is battery operated device, mounted with rechargeable battery. It is compact in design and portable device, easily handled and carried. © 2024 IEEE.

关键词： Bluetooth

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Predefined-Time Tracking Control of Second-Order Multi-agent Systems with State Constraints 2

Predefined-Time Tracking Control of Second-Order Multi-agent...

引用

2nd international conference on Mechatronics, Control and robotics, ICMCR 2024

作者： Guo, Chaoqun Hu, Jiangping Park, Ju H. Kumar Ghosh, Bijoy University of Electronic Science and Technology of China School of Automation Engineering Chengdu China Yeungnam University Department of Electrical Engineering Gyeongsan Korea Republic of Texas Tech University Department of Mathematics and Statistics Lubbock United States

ISBN: (纸本)9798350396096

The predefined-time tracking control of an uncertain second-order multi-agent system is studied in this paper. To tackle both the unconstrained and constrained situations simultaneously, a uniform nonlinear transformation function is proposed. In addition, a time base generator (TBG) function is constructed to facilitate designing a predefined-time control. Moreover, to simplify the computational complexity of the controller design, a predefined-time characteristic filter is proposed by utilizing the TBG function. And also based on the TBG function, an adaptive law is developed to estimate the unknown norms of the fuzzy weights. Consequently, a predefined-time tracking controller based on the TBG technique is designed to achieve the state constraints and consensus tracking. At last, to validate the predefined-time control strategy for the uncertain nonlinear multi-agent system, the simulations are presented. © 2024 IEEE.

关键词： Multi agent systems

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A High-precision Calibration Method for Microsurgical Robots: Combining Iterative Least Squares and PSO-Optimized Support Vector Machine 11

A High-precision Calibration Method for Microsurgical Robots...

引用

11th international conference on Mechatronics and robotics engineering, ICMRE 2025

作者： Pang, Linjun Li, Haiming Gao, Peiyuan Li, Haotian Zhang, He Zhao, Jie Harbin Institute of Technology State Key Lab of Robotics and Systems Harbin China

ISBN: (纸本)9798331509293

Microsurgical robot calibration is essential for achieving high precision in surgical operations. This paper proposes a high-precision calibration approach combining Iterative Least Squares (ILS) for geometric error correction and Particle Swarm Optimization-optimized Least Squares Support Vector Machine (PSO-LSSVM) for non-geometric error compensation. Experimental results show that the proposed method reduces positioning errors from 3.2541 mm to 0.2310 mm through geometric calibration, achieving a 92.90 % accuracy improvement, and further reduces the error to 0.0749 mm after non-geometric error compensation. These results underscore the effectiveness of the proposed approach in enhancing the precision of robotic systems used in microsurgery, © 2025 IEEE.

关键词： Error compensation

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VGG-16 based Deep Learning Approach for Plant Species Detection

VGG-16 based Deep Learning Approach for Plant Species Detect...

引用

2024 international conference on advances in Modern Age Technologies for Health and engineering science, AMATHE 2024

作者： Praveen, Bandi Isravel, Deva Priya Malar Dhas, Julia Punitha Karunya Institute Of Technology And Sciences Division Of Data Science And Cyber Security Coimbatore India Karunya Institute Of Technology And Sciences Division Of Computer Science And Engineering Coimbatore India

ISBN: (纸本)9798350371567

Automated plant species detection has gained interest due to the potential benefits in agriculture to significantly increase crop yields, decrease the use of chemicals, and promote sustainable agriculture practices. A deep learning model, for plant species identification is a promising approach. This paper presents a condensed version of the VGG-16 deep learning model for identifying plant species. The original VGG-16 model's complexity and computational overhead are minimized by lowering the number of convolutional layers, which lowers the amount of parameters and calculations needed while keeping a high level of accuracy in the identification of various plant species. The streamlined VGG-16 model obtains an improved accuracy rate in categorizing distinct plant species after being trained on a big dataset of plant species that includes a variety of images of different plants. The condensed VGG-16 model offers a viable method for precise and effective plant species identification. This study's methodology and results advances the area of plant species detection by offering a deeper learning model that is more effective and useful and can be used on devices with limited resources. © 2024 IEEE.

关键词： Agriculture

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Energy-Consumption Optimization Control for Lunar Rover's Travel with Torque-Distribution-strategy in Rear Wheels

Energy-Consumption Optimization Control for Lunar Rover's Tr...

引用

2024 IEEE international conference on Control science and Systems engineering, ICCSSE 2024

作者： Li, Delun Cao, Jianfei Chen, Yiliang Xie, Zongwu Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin China Beijing Institute of Spacecraft System Engineering Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Applications Beijing China

ISBN: (纸本)9798331517199

In anticipation of future extensive lunar surface operations, lunar rovers are required to advance towards higher speeds and improved energy conservation. When traveling at high speeds on the lunar surface, the vehicle's energy expenditure is greatly amplified by the influence of the terrain, particularly in conditions where driving and steering are coupled. This paper proposes an energy-saving control strategy for lunar rovers that employs dynamic rear-axle torque distribution, with the goal of optimizing transient energy consumption during travel. To tackle the challenge of non-differentiable functions within the optimization objectives, we suggest using a zeroth-order gradient optimization method for resolution, dynamically constraining the range of control parameters to fulfill the dynamic torque distribution objectives as needed for the task. The energy-saving control effectiveness of the algorithm has been confirmed through simulation, demonstrating a minimum energy-saving ratio of at least 4%, which increases to over 11% as the speed level rises, offering a valuable technical solution for the energy optimization of lunar rovers. © 2024 IEEE.

关键词： Rovers

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State and Disturbance Estimations of Typical Nonlinear Systems in Electromechanical engineering 7

State and Disturbance Estimations of Typical Nonlinear Syste...

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7th international conference on robotics, Control and Automation engineering, RCAE 2024

作者： Ye, Tang Dan, Wang Xuliang, Zhao Sitong, Dong Yue, Xiang Guo, Shenghui State Grid Liaoning Electric Power Co. Ltd. Marketing Service Center Shenyang China Suzhou University of Science and Technology School of Electronics and Information Engineering Suzhou China

ISBN: (纸本)9798350355642

Taking a single-link flexible system driven by a DC motor as an example, the Takagi-Sugeno (T-S) fuzzy model is used to study the state and disturbance estimation methods for nonlinear systems, which are commonly present in the field of electromechanical engineering. By analyzing the working mechanism of the system, a nonlinear model of the system is established and then expressed as a T-S fuzzy model. By utilizing system state extension, the original system is transformed into a formal generalized system to achieve both system state estimation and estimation of system output disturbances. A robust proportional-integral observer is designed to achieve system state and disturbance estimation. The solution for the observer gain matrix is obtained by solving linear matrix inequalities. The system is studied separately with and without disturbance, and the correctness and effectiveness of the proposed method are verified through simulation results. © 2024 IEEE.

关键词： AC motors

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