检索结果-内蒙古大学图书馆

Field robotics 2025年 1卷 1-22页

作者： Henry Williams Jamie Bell Mahla Nejati Salome Hussein Nicky Penhall JongYoon Lim Mark Hedley Jones Ho Seok Ahn Stuart Bradley Peter Schaare Paul Martinsen Melissa Broussard Matthew Seabright Mike Duke Alistair Scarfe Bruce MacDonald Centre for Automation and Robotic Engineering Science University of Auckland Auckland New Zealand Plant and Food Research Waikato Hamilton New Zealand School of Engineering University of Waikato Hamilton New Zealand Robotics Plus Ltd Newnham Innovation Park Tauranga New Zealand

The growing popularity of kiwifruit orchards in New Zealand is increasing the already high demand for traditional pollinators (bees), with alternatives currently too costly for most growers due to high labour requirements or inefficient usage of expensive pollen. A novel pollinating robot has been previously described to provide a more efficient, reliable and cost-effective means of addressing this problem. However, the pollinator suffered from a low fruit-set rate of 40% overall, well below commercial requirements of 80% to 90%. This paper presents two new developments for that system: a new, off the shelf spray nozzle (SS1504) to increase the overall pollen delivery and an automated height controller to keep the spray manifolds at a consistent distance below the canopy while avoiding obstacles. Furthermore, we have designed and conducted a more controlled, real-world evaluation of the pollination system to compare both nozzle variants and measure the commercial viability of the pollination platform. Final results show that, operating from a mobile platform at 2.5kmh −1 , the new nozzle could consistently achieve a fruit-set rate only 16 ± 2% below the control samples in each test orchard (82 ± 2% and 72 ± 4% absolute). Pollen consumption remains high, however, with estimates of up to 4.6 kg ha −1 , thus preventing the system from being economically viable. While cost-effectiveness awaits substantial efficiency improvements, our work has demonstrated an automated pollinator that can produce commercial-grade kiwifruit.

关键词： Pollination (plants) Robots Manifolds Reliability Machine vision Spraying Costs Cameras Robot vision systems Insects

来源：评论

学校读者我要写书评

暂无评论

Leg Transmission Mechanism for Enhanced Load-Carrying Capacity: Knee Joint Torque Optimization Design

Leg Transmission Mechanism for Enhanced Load-Carrying Capaci...

引用

IEEE International Conference on Development and Learning, ICDL

作者： Quan Huang Yixuan Guo Haoyun Yan Yuquan Leng Shoubin Liu Chenglong Fu School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems and Guangdong Provincial Key Laboratory of Human Augmentation and Rehabilitation Robotics in Universities Southern University of Science and Technology Shenzhen China School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen China

This study proposes an optimized design for the leg transmission structure of a quadruped robot, aiming to enhance the load-bearing capacity of the knee joint. Firstly, the dynamic simulation of the single leg's load-lifting process in the quadruped robot is conducted, indicating higher torque demands on the knee joint during this process. Therefore, a leg transmission mechanism, combining a ball screw mechanism and a crank-slider mechanism, is designed to effectively amplify the torque of the knee joint motor. Subsequently, a virtual prototype of the quadruped robot, incorporating this design, is constructed using Adams software. The foot trajectory of the robot is pre-planned, and the joint trajectories are obtained through inverse kinematics, using them as the driving functions for the quadruped robot to perform actions such as load lifting, static standing, and diagonal walking gait. Finally, the knee joint torque and corresponding motor driving torque of the quadruped robot's legs are measured and compared. The results demonstrate that the driving torque of the knee joint motor is effectively amplified by the leg transmission mechanism, with the maximum amplification observed during the initial stage of load lifting, reaching a magnification factor of nearly 7.66 times. This verifies the effectiveness of the proposed leg transmission mechanism in enhancing the load-bearing capacity of the knee joint.

关键词：

来源：评论

学校读者我要写书评

暂无评论

CANSAT: A Miniature Satellite for Remote Environmental Monitoring

CANSAT: A Miniature Satellite for Remote Environmental Monit...

引用

North Karnataka Subsection Flagship International Conference (NKCon), IEEE

作者： Varun R Doddamani Aditi S K Mrutyunjaya Pujar Abhay J Nayak B B Kotturshettar Deptartment of Automation and Robotics KLE Technological University Hubli India School of Electronics and Communication KLE Technological University Hubli India School of Mechanical Engineering KLE Technological University Hubli India

ISBN: (数字)9798350364569

ISBN: (纸本)9798350364576

The CANSAT, a soda can-sized satellite equipped with advanced sensors, represents a significant advancement in remote environmental monitoring technology by developing and deploying a miniature satellite designed to gather real-time environmental data from the lower atmosphere. This research paper explores the possibilities of utilizing lightweight materials and precise sensors to offer a practical alternative to traditional data collection methods, which often involve significant risks and logistical challenges. The CANSAT is deployed from a specific altitude, descending with the aid of a parachute. The findings underscore the feasibility and efficiency of the CANSAT in environmental monitoring, highlighting its contributions to sustainability and technological innovation.

关键词： Temperature sensors Temperature measurement Satellites Microcontrollers Humidity measurement Materials reliability Sensor systems Real-time systems Environmental monitoring Sustainable development

来源：评论

学校读者我要写书评

暂无评论

Aggregating Single-wheeled Mobile Robots for Omnidirectional Movements

arXiv

引用

arXiv 2023年

作者： Wang, Meng Su, Yao Li, Hang Li, Jiarui Liang, Jixiang Liu, Hangxin China Department of Advanced Manufacturing and Robotics College of Engineering Peking University China Department of Robot Engineering School of Automation Science and Electrical Engineering Beihang University China

— This paper presents a novel modular robot system that can self-reconfigure to achieve omnidirectional movements for collaborative object transportation. Each robotic module is equipped with a steerable omni-wheel for navigation and is shaped as a regular icositetragon with a permanent magnet installed on each corner for stable docking. After aggregating multiple modules and forming a structure that can cage a target object, we have developed an optimization-based method to compute the distribution of all wheels’ heading directions, which enables efficient omnidirectional movements of the structure. By implementing a hierarchical controller on our prototyped system in both simulation and experiment, we validated the trajectory tracking performance of an individual module and a team of six modules in multiple navigation and collaborative object transportation settings. The results demonstrate that the proposed system can maintain a stable caging formation and achieve smooth transportation, indicating the effectiveness of our hardware and locomotion designs. © 2023, CC BY.

关键词： Permanent magnets

来源：评论

学校读者我要写书评

暂无评论

Research on SLAM Dynamic Target Removal Method Based on Convolutional Neural Network

Research on SLAM Dynamic Target Removal Method Based on Conv...

引用

Signal Processing and Intelligent Computing (SPIC), International Conference on

作者： Lijuan Qin Xiaohan Wang Zeqi Ma Ting Wang School of Information Science and Engineering Shenyang Ligong University Shenyang China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Science Shenyang China

ISBN: (数字)9798350368888

ISBN: (纸本)9798350368895

Integrating object detection into the ORB-SLAM2 system, using object detection algorithms to annotate objects with motion attributes in the environment, and then relying solely on the keyframes of static objects for map construction, can effectively remove the impact of dynamic objects on semantic map construction. This article uses YOLO4 for dynamic object detection in SLAM system, and uses this object detection algorithm to remove dynamic objects from environment. Simulation experiment shows that 3D semantic map effect of dynamic object removal is good. It is of great significance to increase perception ability of mobile robots to environment.

关键词： Visualization Three-dimensional displays Simultaneous localization and mapping Heuristic algorithms Semantics Dynamics Signal processing algorithms Object detection Mobile robots Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Integration of Convolutional Neural Networks for Real-Time Monitoring of Soil Health in Precision Agriculture 8

Integration of Convolutional Neural Networks for Real-Time M...

引用

8th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2024

作者： Sunil, Tummapudi Pachiappan, Krishnagandhi Senthilrajan, S. Nagendar, Y. Maaliw, Renato R. Pavin, C. Malla Reddy Engineering College Malkajgiri Department of Cse Hyderabad India Nandha Engineering College Electrical and Electronics Engineering Tamil Nadu Erode India Rajalakshmi Engineering College Department of Robotics& Automation Tamil Nadu Chennai India Sr University Department of School of Computer Science and Artificial Intelligence Telangana Warangal India Southern Luzon State University Department of Cse Quezon Lucban Philippines Yar Tech Services Biomedical Engineer Hyderabad India

ISBN: (纸本)9798350367904

Convolutional Neural Networks (CNNs) represent a revolutionary breakthrough in improving crop productivity and sustainability when integrated into real-time monitoring systems for soil health in precision agriculture. CNNs are used in a novel way to analyze soil parameters directly from high-resolution photos taken by in-field sensors, such as moisture content, p H levels, and nutrient concentration. To forecast soil health measures, a CNN model was trained and validated using a collection of soil samples. The model achieved an accuracy rate of approximately 9 2 %. The CNN-based technique shortens the time needed for soil health evaluation by almost 80 % when compared to conventional approaches that involve manual sampling and laboratory analysis, allowing for quick corrective actions in the field. Additionally, more accurate and timely soil health monitoring was found to boost crop output prediction accuracy by 15 %. An up to 20 % decrease in the amount of resources used, especially water and fertilizers, can be achieved by using real-time data processing to make educated decisions about irrigation, fertilizing, and pest management. The CNN model offers scalability and adaptability across a range of crop varieties and soil conditions, and it can be easily integrated into current agricultural IoT frameworks. All things considered, using CNNs for soil health monitoring offers an economical and effective way to improve the accuracy and output of contemporary farming methods. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Traffic Police Gesture Command Recognition Based on Convolutional Neural Network AlexNet

Traffic Police Gesture Command Recognition Based on Convolut...

引用

Signal Processing and Intelligent Computing (SPIC), International Conference on

作者： Lijuan Qin Shiyi Wang School of Information Science and Engineering Shenyang Ligong University Shenyang China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Science Shenyang China

ISBN: (数字)9798350368888

ISBN: (纸本)9798350368895

Traffic police gesture signal recognition is of great significance in traffic management and urban intelligent transportation system, this paper researches the automatic recognition technology of traffic police command gesture signal based on the deep learning method, in the process of model training, the training set is used to train AlexNet, and the model is evaluated by the test set. The experimental results show that the model achieves high accuracy in the recognition of traffic police gesture signals. Finally, based on the trained model, a traffic police gesture signal recognition system is designed in MATLAB platform to realize the gesture signal recognition function on local images. The system can be used as a practical application tool for gesture signal recognition in traffic management, providing support for improving the efficiency and safety of urban traffic command.

关键词： Training Image recognition Accuracy Law enforcement Signal processing Mathematical models Intelligent transportation systems System analysis and design Testing Matlab

来源：评论

学校读者我要写书评

暂无评论

Research on Kinect Segmentation Algorithm Based on Pig Point Cloud

Research on Kinect Segmentation Algorithm Based on Pig Point...

引用

Signal Processing and Intelligent Computing (SPIC), International Conference on

作者： Lijuan Qin Qingtang Wang Xinyu He Ting Wang School of Information Science and Engineering Shenyang Ligong University Shenyang China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Science Shenyang China

ISBN: (数字)9798350368888

ISBN: (纸本)9798350368895

Since arrival of new era of socialism with Chinese characteristics, living standards and quality of life of people have gradually improved. Farmers hope to obtain physical signs of livestock without causing stress reactions, and this demand is gradually increasing. Moreover, animal protection personnel hope to gradually increase requirement for measuring physical characteristics of animals without disturbing them. Therefore, method proposed in this article enables breeders and animal protection personnel to achieve hope of non-contact measurement to obtain animal signs. Contactless measurement has always been one of main research directions in machine vision, using point cloud segmentation method to filter out background point cloud ground and railing of pigs under complex conditions. Point cloud segmentation is a prerequisite for all basic applications, not only for point cloud reconstruction but also for segmentation and classification applications. In point cloud segmentation, a random sampling consensus algorithm (RANSAC) combined with conditional Euclidean clustering segmentation algorithm is proposed. Using single choice point cloud segmentation to divide entire point cloud into two parts, effectively obtaining target point cloud information.

关键词： Point cloud compression Signal processing algorithms Clustering algorithms Object segmentation Consensus algorithm Filtering algorithms Classification algorithms Personnel Protection Stress

来源：评论

学校读者我要写书评

暂无评论

Preparation and 3D printing of high-thermal-conductivity continuous mesophase-pitch-based carbon fiber/epoxy composites

引用

Journal of Zhejiang University-Science A(Applied Physics & engineering) 2023年第2期24卷 162-172页

作者： Haiguang ZHANG Kunlong ZHAO Qingxi HU Jinhe WANG Rapid Manufacturing Engineering Center School of Mechatronical Engineering and AutomationShanghai UniversityShanghai 200444China Shanghai Key Laboratory of Intelligent Manufacturing and Robotics Shanghai UniversityShanghai 200072China National Demonstration Center for Experimental Engineering Training Education Shanghai UniversityShanghai 200444China Nano-Science&Technology Research Center School of ScienceShanghai UniversityShanghai 200444China

To meet the requirements of spacecraft for the thermal conductivity of resins and solve the problem of low thermal conduction efficiency when 3D printing complex parts,we propose a new type of continuous mesophase-pitch-based carbon fiber/thermoplastic polyurethane/epoxy(CMPCF/TPU/epoxy)composite filament and its preparation process in this *** composite filament is based on the high thermal conductivity of CMPCF,the high elasticity of TPU,and the high-temperature resistance of *** tensile strength and thermal conductivity of the CMPCF/TPU/epoxy composite filament were *** CMPCF/TPU/epoxy composites are formed by 3D printing technology,and the composite filament is laid according to the direction of heat conduction so that the printed part can meet the needs of directional heat *** experimental results show that the thermal conductivity of the printed sample is 40.549 W/(m·K),which is 160 times that of pure epoxy resin(0.254 W/(m·K)).It is also approximately 13 times better than that of polyacrylonitrile carbon fiber/epoxy(PAN-CF/epoxy)*** study breaks through the technical bottleneck of poor printability of *** provides a new method for achieving directional thermal conductivity printing,which is important for the development of complex high-performance thermal conductivity products.

关键词： Thermal conductivity 3D printing Continuous mesophase-pitch-based carbon fiber(CMPCF) Thermoplastic polyurethane(TPU) Epoxy composite filament

来源：评论

学校读者我要写书评

暂无评论

Development of Insulation Coating Robot for Distribution Network Lines Maintenance

Development of Insulation Coating Robot for Distribution Net...

引用

International Conference on Mechanical Design, ICMD 2021

作者： Yue, Xiang Wang, Hongguang Wang, Lin Liu, Yanhua State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China College of Engineering Shenyang Agricultural University Shenyang110866 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China School of Mechanical Engineering Changshu Institute of Technology Changshu215500 China

ISBN: (纸本)9789811673801

At present, the surface of overhead power lines in high-voltage power grid is directly exposed to the external environment, which leads to poor stability of the transmission and distribution network and prone to tripping accidents. In order to solve this problem, this paper analyzes the characteristics of line inspection robot at home and abroad, and develops a double arm wheeled electric working robot which can coat insulating paint on overhead lines of distribution network. The dual arm wheeled mechanical structure of the robot is designed. It is mainly composed of walking mechanism, cleaning mechanism, coating device and control box. The robot can move stably and reliably on the overhead line through the cooperation of driving wheel and clamping wheel. Coating device is mainly composed of liquid pump drive system, coating system bracket, insulating paint pipeline and nozzle, which can continuously coat insulating paint on overhead line. The master–slave electronic control system of the robot body and the upper computer control platform are developed. Based on the coupling model of overhead line and robot, the quasi-static mechanical model of robot body is established. Finally, simulation and experiments are carried out and the results show the correctness of the robot station. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Robots

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：