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检索条件"任意字段=3rd International Conference on Informatics in Control, Automation and Robotics"

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A surgical dataset from the da Vinci Research Kit for task automation and recognition

A surgical dataset from the da Vinci Research Kit for task a...

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Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), international conference on

作者： Irene Rivas-Blanco Carlos J. Pérez Del-Pulgar Andrea Mariani Giuseppe Tortora Antonio J. Reina Dept. Systems Engineering and Automation University of Malaga Malaga Spain Dept. Excellence in Robotics & AI The BioRobotics Institute Scuola Superiore Sant’Anna Pisa Italy Smart Medical Theatre Lab ABzero srl Pisa Italy

The use of large datasets is essential in surgical robotics to advance in the field of recognition and automation of surgical tasks. Furthermore, public datasets allow the comparison of different algorithms and methods to evaluate their performance. The objective of this work is to provide a complete dataset of three common training surgical tasks performed with the da Vinci Research Kit (dVRK). The dataset contains a total of 206 trials performed by twelve different subjects. For each trial, the dataset includes 154 kinematic variables from the dVRK (both master and slave sides) together with the associated video recorded with a camera. All the data has been carefully timestamped and provided in a readable csv format. A MATLAB interface integrated with ROS for using and replicating the data is also provided.

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Fault-tolerant V formation control of a leader-follower based multi-robot system in an unknown occluded environment

Fault-tolerant V formation control of a leader-follower base...

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international conference on control, Instrumentation, Energy and Communication (CIEC)

作者： Arijit Kumar Haldar Dibyendu Roy Madhubanti Maitra Electrical Engineering Department Jadavpur University Kolkata India Autonomous systems & Robotics ARTC Agency for Science Technology and Research Singapore

This paper presents a novel self-organized flocking algorithm for a multi-robot system that employs the traditional leader-follower approach to produce and maintain V formation while navigating toward an objective location. To achieve self-organization for mimicking the bird flocking characteristics, a circular region-based shaped control strategy followed by an equilateral triangle fitting scheme is described. The control logic has been devised in such a manner that the multi-robot system can orient its inter-agent formation along the direction of the incoming navigational path. The system also includes a fault-tolerant feature in which, if the leader agent becomes weary during navigation, it will be automatically replaced by its immediate follower agent, mimicking the self-healing function of the bird flocking schemes. To demonstrate the efficacy of the proposed technique, simulation results (with and without fault-tolerant aspect) are furnished in this article.

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Pipeline inertial measurement mileage correction method based on pipeline junction detection 3

Pipeline inertial measurement mileage correction method base...

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2023 3rd international conference on Measurement control and Instrumentation, MCAI 2023

作者： Chen, Xiaopan Wang, Ningbo Chen, Zhipeng Yin, Yu Jia, Peng Yu, Chuanyong Wang, Likui Yu, Jianwei Lv, Shiwang State Grid Xinyuan Henan Tianchi Pumped Storage Co. Ltd. China Guangdong Key Laboratory of Urban Informatics Shenzhen University China College of Civil and Transportation Engineering Shenzhen University China

A pipeline measurement robot(PMR) is an important tool for pipeline shape measurement and disease detection. Flexible pipelines in the horizontal plane inside dams are used for internal deformation monitoring, which is characterized by small caliber, no ground marking assistance, and higher accuracy requirements, so the accuracy of the data fusion algorithm needs to be improved. In this paper, we propose a pipeline inertial measurement odometry correction method based on pipeline junction detection, which establishes a reference model of pipeline junction locations, detects pipeline junction gap locations along the measurement route using k-mean clustering, corrects odometer data based on the difference between the detected and reference locations, fuses IMU and odometer data and evaluates the internal compliance accuracy. The proposed method is validated using the measured data of the internal pipeline of Tianchi Dam, and the results show that the method proposed in this paper reduces the root-mean-square error (RMSE) by about 46% compared with the results without detection correction and direct fusion. Therefore, the method has good results and practical applications. © Published under licence by IOP Publishing Ltd.

关键词： Pipelines

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3rd EAI international conference on Cognitive Computing and Cyber Physical Systems, IC4S 2022

3rd EAI International Conference on Cognitive Computing and ...

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3rd EAI international conference on Cognitive Computing and Cyber Physical Systems, IC4S 2022

ISBN: (纸本)9783031289743

The proceedings contain 22 papers. The special focus in this conference is on Cognitive Computing and Cyber Physical Systems. The topics include: Performance Evaluation of Fast DCP Algorithm for Single Image Dehazing;Non Destructive Analysis of Crack Using Image Processing, Ultrasonic and IRT: A Critical Review and Analysis;ioT Enabled Driver Compatible Cost-Effective System for Drowsiness Detection with Optimized Response Time;Voice Based Objects Detection for Visually Challenged Using Active RFID Technology;depth Estimation and Navigation Route Planning for Mobile Robots Based on Stereo Camera;Water Level Forecasting in Reservoirs Using Time Series Analysis – Auto ARIMA Model;water Quality Monitoring Using Remote control Boat;study of Smart City Compatible Monolithic Quantum Well Photodetector;frequency Reconfigurable Antenna for 5G Applications at n77 and n78 Bands;solar Energy Prediction using Machine Learning with Support Vector Regression Algorithm;analysis of Acoustic Channel Model Characteristics in Deep-Sea Water;A Comprehensive Review on Channel Estimation Methods for Millimeter Wave MIMO Systems;comparison of Acoustic Channel Characteristics in Shallow and Deep-Sea Water;price Estimation of Used Cars Using Machine Learning Algorithms;Machine Learning Framework for Identification of Abnormal EEG Signal;alzheimer’s Disease Detection Using Ensemble of Classifiers;publishing Data Objects in Data Aware Networking;youTube Comment Analysis Using Lexicon Based Techniques;Information Theoretic Heuristics to Find the Minimal SOP Expression Considering Don’t Care Using Binary Decision Diagrams;single Image Dehazing Through Feed Forward Artificial Neural Network.

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Sugar Cane Yield Prediction Using Drone Data Processed by LSTM Algorithm 3

Sugar Cane Yield Prediction Using Drone Data Processed by LS...

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3rd international conference on Mechatronics, control and robotics, ICMCR 2025

作者： Arakawa, Kotetsu Shimizu, Ryusei Kikuchi, Shota Capi, Genci Hosei University Graduate School of Science and Engineering Dept. of Mechanical Eng. Tokyo Japan

ISBN: (纸本)9798331544546

Sugarcane is an essential crop in southwestern Japan, particularly in Okinawa and Kagoshima, where it sustains local economies and supports large-scale sugar production. Traditional yield prediction relies on labor-intensive field surveys and is increasingly challenged by a shortage of skilled labor, resulting in potential inaccuracies. This work proposes an innovative approach to sugarcane yield prediction by combining Long Short-Term Memory (LSTM) models with Genetic Algorithms (GA) to optimize model performance. Drone-based data collection methods are also explored, leveraging aerial imagery to provide additional predictive features. The proposed model demonstrates the effectiveness of integrating time-series and spatial data, offering a scalable and accurate solution for improving yield forecasting and supporting efficient operations in sugarcane production. © 2025 IEEE.

关键词： 3D Map building Drone navigation Sugar cane yield prediction

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robotics Arm controller with Fuel Cell-Based Stepper Motor Drive Using Double-Ended Forward Converter 3rd

Robotics Arm Controller with Fuel Cell-Based Stepper Motor D...

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3rd international conference on Emerging Trends in Expert Applications and Security, ICE-TEAS 2024

作者： Kanchana, K. Chintamani, B. Kavitha, S. Priya, R. Karpaga Sinthia, P. Malathi, M. Department of Electrical and Electronics Engineering Saveetha Engineering College Tamil Nadu Chennai India Department of Electrical and Electronics Engineering Rajalakshmi Institute of Technology Tamil Nadu Chennai India Department of Electrical and Electronics Engineering Easwari Engineering College Tamil Nadu Chennai India

ISBN: (纸本)9789819737444

robotics is a rapidly evolving technology essential in many industries and a significant pillar for all the following technologies. Selecting the best motor for the ideal robot is a problematic issue if one is developing a robot, especially for industry. Several criteria for arms control, location, and angular and linear movements must be considered when choosing electrical motors for industrial robots. Choosing the suitable motor is a crucial decision in the design of robots that requires careful consideration of factors such as the robot’s weight, wheel size, and intended use. Torque, acceleration, and speed must all be considered during the design stage. Industrial robots typically use a range of motor types for various functions. The proposed work uses a stepper motor for high-torque robotic applications and more precise angular movement. The double-ended forward converter is used to operate the stepper motor. For current regulation, loss minimization, and low-power applications, the suggested converter is strongly recommended. This converter increases functionality and has buck. The technology’s source is also mentioned: fuel cells. A mathematical model of a double-ended forward converter is presented in this paper. The suggested converter’s prototype model’s outcomes are compared and verified. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Stepping motors

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Design of Velocity control Model in Robot Vehicle Platoon

Design of Velocity Control Model in Robot Vehicle Platoon

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international conference on robotics and automation Engineering (ICRAE)

作者： Yuki Yoshida Eisuke Kita Graduate School of Informatics Nagoya University Nagoya Japan

ISBN: (数字)9798331518301

ISBN: (纸本)9798331518318

The vehicle platoon is a technology in which multiple vehicles runs in a short vehicle distance. When the velocity control algorithm is defined based on the vehicle following model, some model parameters should be determined. The aim of this study is to discuss the design of the model parameters. Three objective functions are defined by terms related to the velocity, the vehicle distance and so on. The parameters are defined by solving the optimization problem including the objective functions. Model 1, which emphasizes the velocity terms, tends to reduce the overshoot amount of velocity, but the reaction to the velocity change tends to be poor. Model 2, which emphasizes the vehicle distance, tends to react the velocity change sensitively and has a large overshoot amount. However, there is a tendency to quickly accommodate the vehicle distance. Model 3 tends to reduce vehicle distance quickly. Next, models are implemented in LEGO MindStorms EV3 and an actual machine experiment is conducted. The experimental results were similar to the results obtained by numerical simulation.

关键词： Sensitivity Velocity control Linear programming Numerical simulation Numerical models Optimization Robots

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Precision Repairs: Achieving Accuracy During Repair Missions at the international Space Station

Precision Repairs: Achieving Accuracy During Repair Missions...

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robotics, automation and Artificial Intelligence (RAAI), IEEE international conference on

作者： Suhail Haque Rafi Md Mubin Ul Islam Chowdhury Mazharul Islam Rakib Mizanul Chowdhury Md Khalilur Rhaman BRAC University Dhaka Bangladesh Massachusetts Institute of Technology Massachusetts USA

ISBN: (数字)9798350307566

ISBN: (纸本)9798350307573

This paper proposes an autonomous approach for repairing leakage at the international Space Station (ISS) using the NASA Astrobee robot with the 3rd Kibo Robot Programming Challenge (KRPC) guidelines provided by JAXA. We bring into play image processing and analysis from the Astrobee Nav Cam data, circle detection algorithms, AR tag detection techniques, autonomous navigation, and a Visual Projective Localization And Mapping (VPLAM) approach for irradiating lasers with excellent precision at the Astrobee Robot Simulator. In addition, we discuss the various capabilities of the Astrobee Robots onboard the ISS and how they can facilitate the delivery of such an autonomous mission in emergencies. Lastly, we walk through ways to deal with randomness and uncertainty while operating, ensuring robustness and accuracy. Ultimately, we scored a precision of up to 0.03 cm on the KRPC online simulator.

关键词： Location awareness Visualization Accuracy Uncertainty NASA Lasers Maintenance engineering

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Mitigation Methods of Reducing DDOS Attack Frequency on Blockchain

Mitigation Methods of Reducing DDOS Attack Frequency on Bloc...

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Advance Computing and Innovative Technologies in Engineering (ICACITE), international conference on

作者： R. Sathees Kumar Phanikanth Chintamaneni Madarapu Naresh Kumar Ankita Joshi Bajila Swathi Joshuva Arockia Dhanraj Department of CSE Narasaraopeta Institute of Technology JNTUK University Narasaraopet Andhra Pradesh Department Of CSE Koneru Lakshmaiah Education Foundation Scientist B National Informatics Centre Ministry of Electronics and Information Technology (MEITY) New Delhi National Informatics Centre Ministry of Electronics and Information Technology (MEITY) New Delhi Uttaranchal Institute of Technology Uttaranchal University India School of Computer Science and Artificial Intelligence SR University Warangal Telangana India Department of Mechatronics Engineering Centre for Automation and Robotics (ANRO) Hindustan Institute of Technology and Science Padur Chennai India

A serious risk to genuine organization demands is a distributed denial of service (DDoS) attack. The main DDoS attack was archived in 1996, however, from that point forward, their intricacy and refinement have consistently expanded. A 2 TBps attack on a crucial foundation, including the monetary area, was accounted for in August 2020 during the Coronavirus pandemic. In the accompanying two years, it is anticipated that the number of attacks would twofold, stretching around 15 million. Since its beginning, many relief plans have been made, however, the intricacy is rising, requiring modern arrangements in view of new innovation. A potential and common-sense method for DDoS relief is blockchain. The point of the review is to give an exhaustive examination of the fundamental and intrinsic properties of blockchain, including their decentralization, inside and outer trust lessness, unchanging nature, honesty, obscurity, and evidence, which have demonstrated to be a fantastic contender for battling this destructive cyber threat.

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automation of Anti-Corruption Expertise of Quality Management of Regulatory Legal Acts Using Artificial Intelligence

Automation of Anti-Corruption Expertise of Quality Managemen...

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informatics, Electronics, and Radio Engineering (PIERE), international conference Problems of

作者： Dmitry L. Kosov Viktor M. Belov Information Security dept. Siberian State University of Geosystems and Technologies Novosibirsk Russian Federation Information Security dept Siberian State University of Geosystems and Technologies Novosibirsk Russian Federation

ISBN: (数字)9798331516321

ISBN: (纸本)9798331516338

In this article, we consider the quality management system of legislation in the Russian Federation: we define its basic elements, the main tools for quality control (management) in the form of legal examinations, and propose a general simple classification of controlled factors in legal examinations. As an example for conducting quality control of legislation, we selected the most important legal examination - anti-corruption examination. Anti-corruption examination is aimed at identifying corruption-generating factors in regulatory legal acts, which are defects in norms and legal formulas that contribute to the manifestations of corruption. Corruption-generating factors, as a rule, have their own attributes (indicators) in anti-corruption examinations, allowing them to be identified in the texts of regulatory legal acts. Within the framework of general trends in automation, informatization, and digitalization, we considered the use of artificial intelligence for the purposes of conducting anti-corruption examination, which, in some cases of “routine work”, could provide all possible assistance to specialists in the field of legal examinations and their digitalization. In this regard, a step-by-step algorithm for pre-training artificial intelligence has been formulated using examples from regulatory legal acts containing corruption-generating factors; a classification of corruption-generating factors has been carried out; a scale of artificial intelligence errors in detecting corruption-generating factors has been developed; frequency characteristics of artificial intelligence errors have been determined; preliminary conclusions have been obtained on the possibility of using artificial intelligence in anti-corruption expertise.

关键词： automation Law Knowledge based systems Legislation Quality control Oral communication Market research Classification algorithms Artificial intelligence informatics

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