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检索条件"任意字段=Conference on Intelligent Robots and Computer Vision XXXI - Algorithms and Techniques"

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Proceedings of the 1998 conference on intelligent robots and computer vision XVII: algorithms, techniques, and Active vision

Proceedings of the 1998 Conference on Intelligent Robots and...

引用

Proceedings of the 1998 conference on intelligent robots and computer vision XVII: algorithms, techniques, and Active vision

The proceedings contains 53 papers from the SPIE conference on intelligent robots and computer vision XVII: algorithms, techniques, and Active vision. Topics discussed include: planetary rovers for long-range Mars science and sample return;pose estimation;geometric and orthogonal moments;Shen-Castan and Canny-Deriche filters;Bayesian neural network learning;robot guidance;face recognition;wireless video monitoring and robot control;image processing for intelligent robotics;robot path planning, guidance and control;color computer vision;3D visualization for intelligent robotics;active robotic vision;and image segmentation in computer vision.

关键词： Robotics

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intelligent robots and computer vision XXIII: algorithms, techniques, and Active vision: 23-25 October, 2005, Boston, Massachusetts, USA (SPIE conference Proceedings)

Intelligent Robots and Computer Vision XXIII: Algorithms, Te...

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2005年

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ICACS 2024 - Proceedings of the 2024 8th International conference on algorithms, Computing and Systems

ICACS 2024 - Proceedings of the 2024 8th International Confe...

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8th International conference on algorithms, Computing and Systems, ICACS 2024

ISBN: (纸本)9798400718304

The proceedings contain 24 papers. The topics discussed include: autonomous floating garbage collection device using computer vision and robotics;coordinated optimization of scheduling and path planning for delivery robots in intelligent manufacturing workshops;a preliminary study of the stressed and drowsy driving prediction models using semi-supervised learning;axial capacity prediction of concrete externally strengthened by low-cost natural fiber reinforced polymer composite utilizing machine learning intelligence;enhancing brain tumor diagnosis: a cutting-edge ensemble deep learning approach;a comparative study of sentiment analysis on twitter and reddit using deep learning techniques;generative artificial intelligence for future education: current research status, hot spots, and research trends;methodological considerations for anonymizing tabular data using generative adversarial networks;and data migration in large scale storage systems with varying file sizes.

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IoT-Based Automation System for Vertical Hydroponic Farms 26

IoT-Based Automation System for Vertical Hydroponic Farms

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26th International conference on Industrial Technology, ICIT 2025

作者： Kumburage, D.K. Hewavitharana, H.V.T.G. Perera, M.N.T. Amarasinghe, Y.W.R. Jayathilaka, W.A.D.M. University of Moratuwa Dept. of Mechanical Engineering Sri Lanka

ISBN: (纸本)9798331521950

Greenhouse vertical rack hydroponic systems offer a sustainable and efficient solution for meeting the increasing global food demand. This paper introduces an IoT-integrated automated system designed to perform labor intensive and repetitive tasks in hydroponic farming. The proposed system integrates a robotic platform for transplanting and inspecting plants, as well as an intelligent controller to control and monitor greenhouse conditions and nutrient solution parameters. To enhance performance and accessibility, the system is integrated with an IoT platform, which includes a user-friendly web interface, enabling remote monitoring and control. Key features such as computer vision techniques and advanced control algorithms are implemented to maximize operational efficiency. Experimental results validate its ability to reduce labor, improve productivity, and ensure consistent crop quality. This solution highlights the potential for scalable and sustainable advancements in modern agriculture. © 2025 IEEE.

关键词： intelligent robots

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Novel 6D Pose Estimation for Pick-and-Place Tasks using Model-based Learning

Novel 6D Pose Estimation for Pick-and-Place Tasks using Mode...

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intelligent Data Communication Technologies and Internet of Things (IDCIoT), International conference on

作者： Logesh G S. Vinoth Nagarajan Pitchandi A.G. Karthikeyan Computer Science and Business Systems Bannari Amman Institute of Technology Sathyamangalam India Department of Mechatronics Akshaya College of Engineering and Technology Coimbatore India Department of Mechatronics Bannari Amman Institute of Technology Sathyamangalam India School of Mechanical Engineering REVA University Bangalore India

ISBN: (数字)9798331527549

ISBN: (纸本)9798331527556

The paper discusses the problem of creating an autonomous SCARA robot that can precisely carry out pick-and-place operations in unstructured settings. The suggested method combines computer vision and deep learning algorithms to provide accurate 6D pose estimation and reliable object detection. Combining YOLOv8 for object detection, hand-eye calibration for precise transformation to robot coordinates, and Principal Component Analysis (PCA) for orientation estimation within the generated point cloud, a novel method for estimating object pose is presented. Monocular depth estimation techniques are used to extract depth information from RGB images to create point clouds. The results demonstrate the potential of combining advanced algorithms with user-friendly design for robotics automation, showing notable gains in pose estimation accuracy and task execution efficiency.

关键词： Point cloud compression Accuracy Service robots Robot kinematics Pose estimation Object detection Manuals Calibration Reliability Principal component analysis

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IoT-Based Automation System for Vertical Hydroponic Farms

IoT-Based Automation System for Vertical Hydroponic Farms

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IEEE International conference on Industrial Technology (ICIT)

作者： D. K. Kumburage H. V. T. G. Hewavitharana M. N. T. Perera Y. W. R. Amarasinghe W. A. D. M. Jayathilaka Dept. of Mechanical Engineering University of Moratuwa Sri Lanka

ISBN: (数字)9798331521950

ISBN: (纸本)9798331521967

关键词： Productivity Automation Service robots Green products Hydroponics Agriculture Real-time systems Optimization Remote monitoring Farming

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New vision System and Navigation Algorithm for an Autonomous Ground Vehicle

New Vision System and Navigation Algorithm for an Autonomous...

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conference on intelligent robots and computer vision xxxi - algorithms and techniques

作者： Tann, Hokchhay Shakya, Bicky Merchen, Alex C. Williams, Benjamin C. Khanal, Abhishek Zhao, Jiajia Ahlgren, David J. Trinity Coll Hartford CT 06106 USA

ISBN: (纸本)9780819499424

Improvements were made to the intelligence algorithms of an autonomously operating ground vehicle, Q, which competed in the 2013 intelligent Ground Vehicle Competition (IGVC). The IGVC required the vehicle to first navigate between two white lines on a grassy obstacle course, then pass through eight GPS waypoints, and pass through a final obstacle field. Modifications to Q included a new vision system with a more effective image processing algorithm for white line extraction. The path-planning algorithm adopted the vision system, creating smoother, more reliable navigation. With these improvements, Q successfully completed the basic autonomous navigation challenge, finishing tenth out of over 50 teams.

关键词： Image Processing Robotics National Instruments LabVIEW Compact RIO Distributed Systems

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Adaptation of human routines to support a robot's tasks planning and scheduling

Adaptation of human routines to support a robot's tasks plan...

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conference on intelligent robots and computer vision xxxi - algorithms and techniques

作者： Tikanmaki, A. Feliu, Troyano S. Roning, J. Univ Oulu CSE Dept Oulu Finland

ISBN: (纸本)9780819499424

Service robots usually share their workspace with people. Typically, a robot's tasks require knowing when and where people are, to be able to schedule requested tasks. Therefore, there exists the need to take into account the presence of humans when planning their actions and it is indispensable to have knowledge of robots' environments. It means in practice knowing when (time and events duration) and where (in workspace) a robot's tasks can be performed. This research paper takes steps towards obtaining of the spatial information required to execute software to plan tasks to be performed by a robot. With this aim, a program capable to define meaningful areas or zones in the robot workspace by the use of a clustering is created tied with statistically reasoned time slots when to perform each task. The software is tested using real data obtained from different cameras located along the corridors of CSE Department of University of Oulu.

关键词： service robots learning clustering

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The 21TH Annual intelligent Ground Vehicle Competition: Robotists for the Future

The 21TH Annual Intelligent Ground Vehicle Competition: Robo...

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conference on intelligent robots and computer vision xxxi - algorithms and techniques

作者： Theisen, Bernard L. US Army TARDEC Warren MI 48397 USA

ISBN: (纸本)9780819499424

The intelligent Ground Vehicle Competition (IGVC) is one of four, unmanned systems, student competitions that were founded by the Association for Unmanned Vehicle Systems International (AUVSI). The IGVC is a multidisciplinary exercise in product realization that challenges college engineering student teams to integrate advanced control theory, machine vision, vehicular electronics and mobile platform fundamentals to design and build an unmanned system. Teams from around the world focus on developing a suite of dual-use technologies to equip ground vehicles of the future with intelligent driving capabilities. Over the past 21 years, the competition has challenged undergraduate, graduate and Ph.D. students with real world applications in intelligent transportation systems, the military and manufacturing automation. To date, teams from over 80 universities and colleges have participated. This paper describes some of the applications of the technologies required by this competition and discusses the educational benefits. The primary goal of the IGVC is to advance engineering education in intelligent vehicles and related technologies. The employment and professional networking opportunities created for students and industrial sponsors through a series of technical events over the four-day competition are highlighted. Finally, an assessment of the competition based on participation is presented.

关键词： intelligent robots autonomous systems ground vehicles vehicle control engineering education IGVC.

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Research and Development of Ro-Boat - An Autonomous River Cleaning Robot

Research and Development of Ro-Boat - An Autonomous River Cl...

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conference on intelligent robots and computer vision xxxi - algorithms and techniques

作者： Sinha, Aakash Bhardwaj, Prashant Vaibhav, Bipul Mohammad, Noor Omnipresent Robot Technologies Pvt. Ltd. (India) Manav Rachna College Of Engineering (India) Indian Institute Of Technology Guwahati (India) National Institute Of Technology Warangal (India)

ISBN: (纸本)9780819499424

Ro-Boat is an autonomous river cleaning intelligent robot incorporating mechanical design and computer vision algorithm to achieve autonomous river cleaning and provide a sustainable environment. Ro-boat is designed in a modular fashion with design details such as mechanical structural design, hydrodynamic design and vibrational analysis. It is incorporated with a stable mechanical system with air and water propulsion, robotic arms and solar energy source and it is proceed to become autonomous by using computer vision. Both "HSV Color Space" and "SURF" are proposed to use for measurements in Kalman Filter resulting in extremely robust pollutant tracking. The system has been tested with successful results in the Yamuna River in New Delhi. We foresee that a system of Ro-boats working autonomously 24x7 can clean a major river in a city on about six months time, which is unmatched by alternative methods of river cleaning.

关键词： Autonomous robot River cleaning computer vision Multiple object tracking HSV color space SURF Kalman filter

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