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检索条件"任意字段=International Symposium on Computational Intelligence in Robotics and Automation"

共 3103 条记录，以下是11-20 订阅

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Evaluation of the Use of an Intelligent System in the Calibration of a Refined Car-Following Model 22

Evaluation of the Use of an Intelligent System in the Calibr...

引用

IEEE Joint 22nd international symposium on computational intelligence and Informatics / 8th IEEE international Conference on Recent Achievements in Mechatronics, automation, Computer Science and robotics (CINTI-MACRo)

作者： Pop, Madalin-Dorin Prostean, Octavian Micea, Mihai V. Politehn Univ Timioara Comp & Informat Technol Dept Timisoara Romania Politehn Univ Timioara Automat & Appl Informat Dept Timisoara Romania

ISBN: (纸本)9798350398823

This paper aims to extract the computational logic of a hybrid method for online calibration of car-following models and apply it to a refined car-following model that incorporates the behavior of vehicles moving on the adjacent traffic lanes. This calibration method combines the concept of Kalman filters with the Takagi-Sugeno Fuzzy Inference System (T-S FIS). Furthermore, this paper analyzes the influence of the lane change behavior on the calibration process. The testing of the hybrid calibration method in the case of a refined car-following model uses real traffic data and it is followed by a discussion of the results based on day/night traffic behaviors.

关键词： computational intelligent system fuzzy inference refined car-following model Takagi-Sugeno Kalman filter online calibration lane change behavior

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IMU-Aided Event-based Stereo Visual Odometry

IMU-Aided Event-based Stereo Visual Odometry

引用

IEEE international Conference on robotics and automation (ICRA)

作者： Niu, Junkai Zhong, Sheng Zhou, Yi Hunan Univ Neuromorph Automat & Intelligence Lab NAIL Sch Robot Changsha Peoples R China

ISBN: (纸本)9798350384581;9798350384574

Direct methods for event-based visual odometry solve the mapping and camera pose tracking sub-problems by establishing implicit data association in a way that the generative model of events is exploited. The main bottlenecks faced by state-of-the-art work in this field include the high computational complexity of mapping and the limited accuracy of tracking. In this paper, we improve our previous direct pipeline Event-based Stereo Visual Odometry in terms of accuracy and efficiency. To speed up the mapping operation, we propose an efficient strategy of edge-pixel sampling according to the local dynamics of events. The mapping performance in terms of completeness and local smoothness is also improved by combining the temporal stereo results and the static stereo results. To circumvent the degeneracy issue of camera pose tracking in recovering the yaw component of general 6-DoF motion, we introduce as a prior the gyroscope measurements via pre-integration. Experiments on publicly available datasets justify our improvement. We release our pipeline as an open-source software for future research in this field.

关键词： Mapping

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A Rapidly-Exploring Random Tree Algorithm with Reduced Random Map Size 9

A Rapidly-Exploring Random Tree Algorithm with Reduced Rando...

引用

9th international Conference on automation, robotics and Applications (ICARA)

作者： Lonklang, Aphilak Botzheim, Janos Eotvos Lorand Univ Dept Artificial Intelligence Fac Informat H-1117 Budapest Hungary

ISBN: (纸本)9781665489218

Mobile robots have been widely used in automated factory applications such as raw material delivery and product storage transportation. Path planning algorithms have been proposed to generate a feasible global approach. The path result must be free from obstacle regions and shortest. Previously we proposed an Improved Rapidly-Exploring Random Tree (Improved RRT*) algorithm. The algorithm consists of the pre-processing step for feasible mapping, primary processing with RRT* for path generating, and post-processing with Bacterial Mutation and Node Deletion operators. This paper aims to improve further the capability of the Improved RRT* algorithm by reducing the overall computation time. The proposed method reduces the complexity of the random map after each iteration by deleting the used nodes. In this way, the computational time could be reduced.

关键词： Path Planning Algorithm RRT Bacterial Mutation Node Deletion

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automation Using Robots, Machine Learning, and Artificial intelligence to Enhance Production and Quality 2

Automation Using Robots, Machine Learning, and Artificial In...

引用

2nd international Conference computational and Characterization Techniques in Engineering and Sciences, IC3TES 2024

作者： Sajja, Guna Sekhar Reddy Addula, Santosh University of the Cumberlands Department of Information Technology WilliamsburgKY United States

ISBN: (纸本)9798350364699

Automating everyday jobs, expanding production, and improving quality are all examples of how the integration of robotic automation and machine intelligence (AI) is causing activities to change. The purpose of this study is to examine the relationship between artificial intelligence (AI) and robotics, specifically focusing on how machine intelligence (ML) algorithms and AI approaches enable androids to do complicated jobs with greater efficiency and precision. Through the automation of everyday and repetitive tasks, organizations can redirect their workers into activities that are more important and innovative. Automated systems that are driven by artificial intelligence can learn and adapt from data, therefore rebuilding their performance over time and ensuring logical quality. This strategy not only increases productivity but also decreases the number of mistakes and the expenses associated with it. It is important to note that the associations of these gadgets stretch across a variety of fields, including manufacturing, healthcare, management, and departments that interact with consumers. This highlights the potential for wider financial and friendly advantages. A discussion of the difficulties and opportunities associated with the integration of mechanics is presented in the last section of the study. Particular attention is paid to the relevance of ongoing innovation and ethical considerations in the configuration of artificial intelligence and robotics. © 2024 IEEE.

关键词： Adversarial machine learning

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Lightning NeRF: Efficient Hybrid Scene Representation for Autonomous Driving

Lightning NeRF: Efficient Hybrid Scene Representation for Au...

引用

IEEE international Conference on robotics and automation (ICRA)

作者： Cao, Junyi Li, Zhichao Wang, Naiyan Ma, Chao Shanghai Jiao Tong Univ AI Inst MoE Key Lab Artificial Intelligence Shanghai Peoples R China Tusimple Beijing Peoples R China

ISBN: (纸本)9798350384581;9798350384574

Recent studies have highlighted the promising application of NeRF in autonomous driving contexts. However, the complexity of outdoor environments, combined with the restricted viewpoints in driving scenarios, complicates the task of precisely reconstructing scene geometry. Such challenges often lead to diminished quality in reconstructions and extended durations for both training and rendering. To tackle these challenges, we present Lightning NeRF. It uses an efficient hybrid scene representation that effectively utilizes the geometry prior from LiDAR in autonomous driving scenarios. Lightning NeRF significantly improves the novel view synthesis performance of NeRF and reduces computational overheads. Through evaluations on real-world datasets, such as KITTI-360, Argoverse2, and our private dataset, we demonstrate that our approach not only exceeds the current state-of-the-art in novel view synthesis quality but also achieves a five-fold increase in training speed and a ten-fold improvement in rendering speed. Codes are available at https://***/VISION-SJTU/Lightning-NeRF.

关键词： Rendering (computer graphics)

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Literature Review on Advanced Cloud robotics for Enhanced Industrial automation 3

Literature Review on Advanced Cloud Robotics for Enhanced In...

引用

3rd international Conference on Electronics and Renewable Systems, ICEARS 2025

作者： Manonmani, A. Akash, S. Aswinraj, A. Manikandan, A. Saveetha Engineering College Department of Electronics and Instrumentation Engineering Chennai India

ISBN: (纸本)9798331509675

Cloud robotics is transforming industrial automation by combining cloud computing with robotic systems. This paper reviews recent advancements in cloud robotics and their industrial applications, highlighting the synergy between cloud infrastructure and robotic platforms. Key technologies like artificial intelligence, machine learning, and the Internet of Things are explored for their roles in enhancing scalability, computational efficiency, and real-time data processing. The paper also addresses challenges such as latency and data security, proposing solutions to overcome them. The findings suggest that cloud robotics can significantly improve productivity, cost-efficiency, and flexibility in manufacturing and other sectors, with future research directions aimed at promoting its broader adoption. © 2025 IEEE.

关键词： Cloud platforms

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Scan-to-BIM: Unlocking current limitations through Artificial intelligence 41

Scan-to-BIM: Unlocking current limitations through Artificia...

引用

41st international symposium on automation and robotics in Construction, ISARC 2024

作者： Maxime, Queruel Stefan, Bornhofen Aymeric, Histace Laure, Ducoulombier Bouygues Construction - Research and Development Department ETIS UMR 8051 CY Cergy Paris Université ENSEA CNRS F-95000 France

ISBN: (纸本)9780645832211

This paper discusses the current methods of Scan-to-BIM, a process which allows creating a digital representation of existing buildings for a planning methodology called Building Information Modeling (BIM). The study covers all stages of the process, from point cloud generation and pre-processing to BIM modeling and formatting. We review the work already done in this area both conventionally and with the addition of Artificial intelligence approaches which have significantly improved the efficiency and accuracy of the process. With a particular focus on Artificial intelligence, we explore how these advanced technologies transform and optimize every step, offering innovative insights and significant improvements over conventional methods. Through this investigation, we aim to provide insights into the capabilities and constraints of the Scan-to-BIM workflow, and to shed light on academic advancements and industrial perspectives. © 2024 ISARC. All Rights Reserved.

关键词： Artificial intelligence

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KRIS: A Robot for Material Transport in Relief Situations

KRIS: A Robot for Material Transport in Relief Situations

引用

2024 international symposium on Safety Security and Rescue robotics

作者： Mallwitz, Martin Weissenrieder, Daniel Origanti, Vamsi Krishna Becker, Tom Sixt, Milan Ralalage, Malika Navaratna Helapita Bernhard, Felix Schoo, Christian Genis, Miguel Martinez Bermpohl, Fabian Maas Genannt Yueksel, Mehmed Kirchner, Frank German Res Ctr Artificial Intelligence DFKI GmbH Robot Innovat Ctr D-28359 Bremen Germany Univ Bremen Dept Math & Informat D-28359 Bremen Germany Fed Agcy Tech Relief THW Bonn Germany

ISBN: (纸本)9798331510961;9798331510954

This paper presents KRIS, a semi-autonomous robot developed for material transport in disaster relief situations. In collaboration with the German Federal Agency for Technical Relief (THW) and the German Research Center for Artificial intelligence (DFKI), KRIS addresses the limitations of manual transport in hazardous environments. The robot is designed for enhanced mobility in rough terrain, featuring modes such as manual control, gesture-based person-following, and autonomous shuttle operation. The system is equipped with advanced sensors, including LiDAR and RGB-D cameras, and employs AI-driven gesture recognition for hands-free operation. Two field tests evaluated KRIS's usability in realistic disaster settings, demonstrating its ability to transport heavy equipment while reducing physical strain on rescue personnel. The findings highlight the potential of KRIS to improve efficiency and safety in disaster relief operations.

关键词： Disasters

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Transparent Slide Detection and Gripper Design for Slide Transport by Robotic Arm 22

Transparent Slide Detection and Gripper Design for Slide Tra...

引用

作者： Kucarov, Marianna Dimitrova Takacs, Matyas Molnar, Bela Kozlovszky, Miklos BioTech Doctoral Sch Appl Informat & Appl Math Budapest Hungary Obuda Univ Doctoral Sch Appl Informat & Appl Math Budapest Hungary 3DHistech Ltd Doctoral Sch Appl Informat & Appl Math Budapest Hungary 3DHistech Ltd Univ Res & Innovat Ctr EKIK Budapest Hungary Obuda Univ Univ Res & Innovat Ctr EKIK Budapest Hungary 3DHistech Ltd Budapest Hungary Obuda Univ John von Neumann Fac Informat Budapest Hungary

ISBN: (纸本)9798350398823

Transparent slide detection, pick and place automation are obtained in order to boost speed, accuracy and smooth workflow between slide coverslipping and digital scanning operation in digital pathology. Fully automatic, precise, robust solution has been developed by robotic arm using computer vision and image processing techniques. Magazine (slide holder) and gripper design, camera selection and mapping to robot base coordinate system are all guided. Python based software algorithms for slide detection and 3D position determination applied in dynamically changeable environment are also explained step by step. Complete automatic process control method is implemented and tested for different types of slide.

关键词： Digital Pathology Transparent Slide Detection 3D position Computer vision Image processing Robot automation

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Glycemic control metrics for in silico testing of artificial pancreas systems 22

Glycemic control metrics for in silico testing of artificial...

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作者： Novak, Kamilla Kovacs, Levente Drexler, Daniel Andras Eigner, Gyorgy Obuda Univ Physiol Controls Res Ctr Becsi St 96-B H-1034 Budapest Hungary Obuda Univ John von Neumann Fac Informat Biomat & Appl Artificial Intelligence Inst Becsi St 96-B H-1034 Budapest Hungary Obuda Univ Appl Informat & Appl Math Doctoral Sch Becsi St 96-B H-1034 Budapest Hungary

ISBN: (纸本)9798350398823

People with diabetes, clinicians and researchers alike need appropriate metrics to manage diabetes, assess the quality of blood glucose control, and guide the development of new therapies and control methods. In this paper, we review some commonly used metrics with their advantages and disadvantages. We analyze the glucose data of a CGM user to compare the results of different metrics and determine which of these gives the most complete picture of glycemic control in silico trials of artificial pancreas systems.

关键词： Glucose

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