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

共 47854 条记录，以下是1281-1290 订阅

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Optimizing Robotic Arm Efficiency: Synergizing Aerodynamics with Arduino Control for Enhanced Six Degrees of Freedom 2nd

Optimizing Robotic Arm Efficiency: Synergizing Aerodynamics ...

引用

2nd international conference on Modern Research in Aerospace engineering, MRAE 2023

作者： Mohan, Akshay Akurathi, Mohan Kumar Vashisht, Priyanka Jatain, Aman Department of Computer Science & Engineering Amity University Haryana Gurgaon India Manav Rachna University Faridabad India

ISBN: (纸本)9789819713059

The combination of robotics and aerodynamics has proven to be an interesting field of study, leading to advances in many fields. This brief presents a new approach to the design and control of a robotic arm that focuses on aerodynamics. The robotic arm uses an Arduino microcontroller for simplicity and ease of use. The aerodynamic design of the robot arm is designed to increase efficiency and effectiveness by reducing weight and improving lift. By using the aerodynamic structure, the structure of the arm is streamlined to reduce air resistance, resulting in more fluid and clear power. The choice of heavy and durable materials further contributes to the aerodynamic performance. The control of the robotic arm is used by the Arduino microcontroller, which provides various platforms to work and interact with various sensors and actuators. Control algorithms include real-time feedback from position and force sensors to make precise and responsive movements. Aerodynamic design principles are incorporated into the controller, which can adjust the configuration of the robotic arm according to atmospheric conditions. This research contributes to the field of robotics by demonstrating the benefits of integrated aerodynamics and Arduino-based control in the creation of human arms. These findings lead to the development of more efficient robotic systems and provide valuable insights for future research at the intersection of robotics and aerodynamics. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Robotic arms

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Passive Dynamic Walking of A Novel Tensegrity Robot Combines Contradictory Properties: Stability and Flexibility 8

Passive Dynamic Walking of A Novel Tensegrity Robot Combines...

引用

8th IEEE international conference on Advanced robotics and Mechatronics, ICARM 2023

作者： Zheng, Yanqiu Asano, Fumihiko Yan, Cong School of Information Science Japan Advanced Institute of Science and Technology Ishikawa Nomi923-1292 Japan Ritsumeikan University Department of Mechanical Engineering Shiga Kusatsu525-8577 Japan

ISBN: (纸本)9798350300178

Achieving stability and flexibility simultaneously is a challenging task for mobile robots. This study proposes a novel passive walking robot with a tensegrity structure inspired by the rimless wheel, so we call it a rimless-wheel-like tensegrity walker (RTW). Benefited from the advantages of the tensegrity structure and the rimless wheel, it can provide both stability and flexibility. First, we give the dynamics model of the robot with semicircular feet. Second, a stable gait is generated by numerical simulation. It is discovered that it presents a stable limit cycle gait based on a flexible tensegrity structure. Furthermore, the RTW combines flexibility from tensegrity structure and stability from a rimless wheel, therefore, it can be capable of achieving an efficient and stable gait in multi-terrain environments. © 2023 IEEE.

关键词： Stability

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A Robust Multi-Sensor Fusion Localization for Small-Scale Biomimetic Robots

A Robust Multi-Sensor Fusion Localization for Small-Scale Bi...

引用

2024 IEEE international conference on robotics and Biomimetics, ROBIO 2024

作者： Li, Shengming Zhang, Yulai Chen, Zuowei Jiang, Dixuan Yu, Zhiqiang Shi, Qing School of Mechatronical Engineering Beijing Institute of Technology Beijing China Beijing Institute of Technology Ministry of Education Key Laboratory of Biomimetic Robots and Systems Beijing China School of Medical Technology Beijing Institute of Technology Beijing China Yangtze Delta Region Academy of Beijing Institute of Technology Zhejiang China

ISBN: (纸本)9781665481090

Robust localization is an important foundation for quadruped robots to achieve motion performance and application potential in real-world scenarios. Vision-based methods commonly suffer from undesired performance, especially in low-lighting conditions. To solve this problem, we present a multi-sensor fusion localization approach for slippery surfaces and poor visual quality conditions. The proposed approach creates an adaptive feature extraction framework that only extracts effective local features rather than global ones, improving data processing speed while ensuring sufficient feature extraction. Besides, we implement leg and inertial odometry based on motor encoders and IMU mounted on a small-scale robotic rat. The approach with information fusion has been proved with high robustness by reducing localization error by over 20% and processing time by 15.8%. The evaluation across multiple stages has been done and the results demonstrate competitive performance on both public benchmarks and a miniature quadruped robot, which shows high versatility for small-scale biomimetic robots in real-world scenarios. © 2024 IEEE.

关键词： Multipurpose robots

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An Efficient License Plate Recognition Model Through Deep Learning Integration with YOLO and OCR Techniques

An Efficient License Plate Recognition Model Through Deep Le...

引用

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

作者： Supriya, N. Chiranjevi, Dukuru Shariff, Md Imam Khader Sowjanya, Bodasingi Desanamukula, Venkata Subbaiah Lakshmanarao, A. School Of Engineering Malla Reddy University Hyderabad India Aditya University Department Of It Surampalem India Raghu Engineering College Department Of Cse Dakamarri Visakhapatnam India Centurion University Of Technology And Management Department Of Cse Andhra Pradesh Vizianagaram India Lakireddy Bali Reddy College Of Engineering Department Of Cse Mylavaram India Aditya University Department Of Information Technology Surampalem India

ISBN: (纸本)9798350371567

In this paper, a two-step approach for Number Plate Recognition (NPR) was developed, leveraging the capabilities of You Only Look Once (YOLO) for efficient object detection and EasyOCR for accurate alphanumeric extraction. YOLO played a pivotal role in swiftly detecting and localizing vehicle number plates, forming a robust foundation for subsequent processing. The application of EasyOCR followed, facilitating precise character recognition on the localized plates and resulting in high-quality alphanumeric extraction. Our methodology, encompassing YOLO followed by EasyOCR and harnessing a dataset from Roboflow, yielded noteworthy results, underscoring the efficacy of this sequential approach in achieving reliable NPR. This combination of YOLO, EasyOCR, and the diverse dataset contributed to accurate and efficient recognition of vehicle number plates, showcasing the potential for real-world applications. This study contributes to the advancement of NPR systems by presenting a streamlined yet effective solution for automated license plate recognition, enriched by the inclusion of a comprehensive dataset from Roboflow. © 2024 IEEE.

关键词： Object detection

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Analysis of the Impact of Geosynchronous Satellite Motion on Vehicle-borne SAR Imaging

Analysis of the Impact of Geosynchronous Satellite Motion on...

引用

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

作者： Ma, Tengyu Chen, Zhiyang Li, Yuanhao Hu, Cheng Beijing Key Laboratory of Real-Time Information Processing Technology of Embedded Beijing100081 China School of Information and Electronic Beijing Institute of Technology Beijing100081 China Advanced Technology Research Institute Beijing Institute of Technology Jinan250300 China

ISBN: (纸本)9798331517199

Vehicle-borne synthetic aperture radar (SAR) has the advantages of flexible configuration, convenient deployment, and long endurance, making it an effective means for high-resolution imaging of space targets such as geosynchronous (GEO) satellites. Due to the long distance between the SAR platform and the GEO satellite, it requires extremely long synthetic aperture time to achieve high-resolution imaging. In this case, GEO satellite motion cannot be ignored, which causes defocusing in SAR imaging. To address this issue, this paper derived an accurate slant range model between the GEO satellite and the vehicle-borne SAR platform. Based on this, the impact of GEO satellite motion on SAR imaging and the impact boundary are analyzed. The accuracy of the slant range model and the impact boundary is verified through simulation. © 2024 IEEE.

关键词： GEO satellite motion error analysis vehicle-borne SAR

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Research on visual odometry scheme based on semi-feature method

Research on visual odometry scheme based on semi-feature met...

引用

2024 international conference on Optical and Photonic engineering, icOPEN 2024

作者： Peng, Hongxing Chen, Hu Chen, Shuji Zou, Xiangjun Wang, Hongjun Xiong, Juntao College of Mathematics and Informatics South China Agricultural University Guangzhou510642 China Foshan-Zhongke Innovation Research Institute of Intelligent Agriculture and Robotics Foshan China College of Intelligent Manufacturing and Modern Industry Xinjiang University Xinjiang China College of Engineering South China Agricultural University Guangzhou510642 China

ISBN: (数字)9781510688117

ISBN: (纸本)9781510688100

This paper introduces a visual odometry scheme based on a semi-feature method aimed at enhancing the efficiency of front-end tracking in visual SLAM systems. By integrating direct and feature-based methods, our approach improves tracking speed while maintaining pose estimation accuracy. We replace traditional pose estimation with a direct method for regular frames and utilize feature-based methods for keyframes, optimizing computational resources without significant loss in performance. Experimental validation on the EuRoC dataset shows substantial improvements in real-time tracking efficiency compared to conventional feature-based methods. © 2025 SPIE.

关键词： Computer vision

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Trends in Human-Robot Collaboration and Sustainable Automation for the Construction Industry 8th

Trends in Human-Robot Collaboration and Sustainable Automati...

引用

8th international conference on Information and Communication technology for Competitive Strategies, ICTCS 2023

作者： Patel, Swasti N. Sharma, Rahul Patel, Nirav M. Department of Computer Science and Engineering PIT Parul University Gujarat Waghodia India Department of Civil Engineering Parul Institute of Engineering and Technology Parul University Gujarat Waghodia India

ISBN: (纸本)9789819702091

The construction industry plays a pivotal role in global infrastructure development;however, it faces challenges related to efficiency, safety, and environmental impact. The advent of robotics and automation has opened new avenues for addressing these challenges through human-robot collaboration and sustainable automation. This research article explores the evolving trends in human-robot collaboration within the construction sector, focusing on the integration of advanced robotics, artificial intelligence, and sustainable practices. The article delves into case studies, technological advancements, and their impact on construction efficiency, safety, and environmental sustainability. Through comprehensive analysis, this article sheds light on the potential benefits, challenges, and future directions of human-robot collaboration and sustainable automation in the construction industry. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Construction industry

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Image segmentation algorithm based on multi-granularity clustering 7

Image segmentation algorithm based on multi-granularity clus...

引用

7th international conference on Mechatronics and Intelligent robotics, ICMIR 2023

作者： Xia, Shuyin Xia, Cenjun Dai, Dawei Ni, Jinyuan School of Computer Science and Technology Chongqing University of Posts and Telecommunication ChongQing400065 China School of Computer Science and Engineering Chongqing University of Technology Chongqing400054 China

ISBN: (数字)9781510668089

ISBN: (纸本)9781510668072

This article proposes an image processing algorithm based on multi-scale clustering, which can improve the probability of a classifier correctly classifying an image even after it has been subjected to noise attacks. The algorithm mainly involves performing multi-scale clustering on the pixels of the image based on features such as color space, distance, texture, etc., and then incorporating the clustering results into the training of the classifier. By directly extracting the main feature information from the image for training, the algorithm prevents large classification errors due to changes in certain pixel values, thus reducing the impact of attacks on other pixels in the image and greatly improving the robustness of the image. Therefore, this algorithm is a robust and efficient denoising method. © 2023 SPIE. All rights reserved.

关键词： Pixels

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A Magnetic Micro Robotic Trajectory Controller Design for Cell Trapping 8

A Magnetic Micro Robotic Trajectory Controller Design for Ce...

引用

8th IEEE international conference on Advanced robotics and Mechatronics, ICARM 2023

作者： Wang, Fanghao Jing, Daoyuan Zhang, Youchao Guo, Xiangyu Liu, Chuanjie Zhou, Mingchuan College of Biosystems Engineering and Food Science Zhejiang University Robotic Micro-nano Manipulation Lab Hangzhou China

ISBN: (纸本)9798350300178

Cell trapping is considered a complicated and challenging task due to the small scale of manipulation involved. Image guided robotic micro manipulation is among the novel and promising solutions that may enhance human capabilities. In this paper we demonstrate 3-degree-of-freedom (3-DOF) wireless magnetic control of an untethered microrobot (2-DOF position and 1-DOF pointing orientation). An accurate orientation control model has been employed to determine the microrobot's orientation in 2D space. In addition, multiple orientation experiments were conducted to verify the proposed model. Finally, a feedback control algorithm including a Proportional-Integral-Derivative controller (PID) is conducted to eliminate external disturbance during the trajectory tracking task. This system was primarily designed to control magnetic microrobots for cell trapping in vitro. © 2023 IEEE.

关键词： robotics

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A Method for Robot to Detect the Facial Landmarks with Masks 9

A Method for Robot to Detect the Facial Landmarks with Masks

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9th international conference on Electrical engineering, Control and robotics, EECR 2023

作者： Wang, Di Shi, Boqiang Gao, Yin Wang, Shuo University of Science and Technology Beijing School of Mechanical Engineering Beijing China Hefei University of Technology School of Mechanical Engineering Hefei China

ISBN: (纸本)9781665491204

As the epidemic intensifies aroun d the world, more and more people are wearing masks, which also makes it more difficult for robots to recognize key points of faces. Because of the distribution of face data with masks is completely different from the distribution of face data without masks, the accuracy of existing face points detection algorithms in academia and business is greatly reduced. Inthis paper, we present a facial keypoints detection algorithm with masks, which is as accuracy as the keypoints detection algorithm without masks. We propose 1) a low-cost facial landmark detection method with masks. 2) a realtime network that enhances the cognitive ability of each layer's receptive field. This solution can be implemented at low-cost and has high accuracy, contributing to the epidemic prevention and control work. © 2023 IEEE.

关键词： Disease control

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