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15th International Conference on Pattern Recognition, ICPR 2000

作者： Aparicio, Javier Iglesia García-Bermejo, Jaime Gómez University of Valladolid ETSIT Dep. of Systems Engineering and Automatic Control Spain

ISBN: (纸本)0769507506

Modeling reflectance properties from real objects is useful for solving many practical problems, ranging from industrial inspection to computer graphics. In particular, building computer graphics models directly from real objects has recently received increased attention, because it is useful in many important fields such as CAD, entertainment (3-D games, movies) and virtual museums. This paper describes an automatic way to recover actual reflectance parameters, from range and intensity (or color) data acquired from objects. The proposed approach is based on Phong reflection model, since this model is usually preferred for computer graphics. © 2000 IEEE.

关键词： Reflection

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3D UAV Registration of Large Scale Environment Using Structure From Motion Based Approach 28

3D UAV Registration of Large Scale Environment Using Structu...

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28th International Conference on Information, Communication and Automation Technologies, ICAT 2022

作者： Velagic, Jasmin Balta, Haris Faculty of Electrical Engineering Dep. of Automatic Control and Electronics Sarajevo Bosnia and Herzegovina Siemens Energy Nuremberg Germany

ISBN: (纸本)9781665466929

This paper treats the problem of 3D outdoor environment mapping using images acquired by Unmanned Aerial Vehicle (UAV). The main focus is on the generation of 3D model for large scale environments. In order to perform 3D model reconstruction and mapping from 2D aerial images we employed a Structure from Motion (SfM) based approach. The obtained results using this approach for different scenarios, the rubble field and village, are presented. The generated UAV 3D point cloud data are compared with the ground truth using the least square method, where the ground truth represents a reference model with high accuracy geodetic precision. The comparison of the 3D environment models with the rubble field and village scenarios and the ground truth data is also given. © 2022 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Efficient News Synopsis Generation with T5 Transformers 12

Efficient News Synopsis Generation with T5 Transformers

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12th IEEE International Conference on Intelligent Systems, IS 2024

作者： António, João Mihaylova, Lyudmila Georgieva, Petia Aveiro Portugal University of Sheffield Dep. of Automatic Control and Systems Engineering Sheffield United Kingdom Institute of Telecommunications Aveiro Portugal

ISBN: (纸本)9798350350982

In this paper we propose a Text-To-Text Transfer Transformer-based (T5) model to generate concise, human-like synopses of Merger and Acquisition (M&A) economic news. Leveraging recent advancements in artificial intelligence and natural language processing, we have focused our resources on the creation of a specific summarizer, opting for a translation of all news into English to ensure consistency and mitigate complexity. The implementation of Graphics processing unit (GPU) resources for model training played a crucial role in optimizing the learning process, allowing us to effectively utilize the time window provided by platforms such as Google Colab Pro and Free. Through iterative fine-tuning, our model was trained to generate high-quality, human-like synopses of M&A events. Our findings underscore the enhanced transparency and interpretability of the proposed generative AI-driven text summariser, suggesting promising avenues for future exploration and development in this field. © 2024 IEEE.

关键词： Graphics processing unit

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World Modeling and Position Estimation for a Mobile Robot using Self-Organizing Networks

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IFAC Proceedings Volumes 2000年第25期33卷 113-118页

作者： R. Marqués E. Zalama J.G. García-Bermejo J.R. Perán Dep. of Systems Engineering and Automatic Control University of Valladolid (Spain)

In this paper a system for estimating position and orientation of a mobile robot in a non-structured environment, by means of self-organizing neural networks, is described. After perfonning an initiat learning phase, the system is able to incrementally build a representation of the environment. Position and orientation of the robot can then be obtained, upon data coming from the odometric system and sensors (ultrasound sensors, infrared sensors and 2D-Iaser sensor). The system has been implemented and tested on a NOMAD 200 robot. Experimental results are reported, which show the robot to be able to navigate without losing its way, and to adapt to changes in the environment.

关键词： Mobile Robots Navigation Learning Systems Neural Networks

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Assessment of diabetics with various degrees of autonomic neuropathy using power spectral analysis

Assessment of diabetics with various degrees of autonomic ne...

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2012 International Conference on Biomedical engineering and Biotechnology, iCBEB 2012

作者： Chiu, Chuang-Chien Kuo, Yi-Jiun Liau, Ben-Yi Yeh, Shoou-Jeng Dep. of Automatic Control Engineering Feng Chia University Taichung Taiwan Dep. of Biomedical Engineering Hungkuang University Taichung Taiwan Section of Neurology and Neurophysiology Taichung Cheng-Ching General Hospital Taichung Taiwan

ISBN: (纸本)9780769547060

n this study, we investigate the feasibility of using power spectral density (PSD) analysis to assess the healthy subjects and diabetics with mild, moderate and severe autonomic neuropathy. Continuous cerebral blood flow velocity (CBFV) was measured using transcranial Doppler ultrasound (TCD), and continuous arterial blood pressure (ABP) was measured using Finapres device under supine and hyperventilation conditions. Four groups of subjects were recruited in this study including 11 healthy adults (56.4±8.1 years), 15 diabetics with mild autonomic neuropathy (50.8±15.7 years), 21 diabetics with moderate autonomic neuropathy (61.8±9.0 years), and 25 diabetics with severe autonomic neuropathy (61.4±10.0 years). According to the results of PSD, it can be speculated that while the diabetic autonomic neuropathy of a patient becomes more serious, the function of cerebral auto regulation (CA) tends to be more imbalance. In conclusion, sympathetic activity was different on diabetics with autonomic neuropathy from supine to hyperventilation by the analysis of power spectrum. Sympathetic activity was increased to reduce CBFV from supine to hyperventilation. Due to hyperventilation make oxygen increase in the brain, cerebral auto regulation can make sympathetic activity increased. Therefore, power spectral analysis can be a useful tool to investigate autonomic neuropathy in diabetics. © 2012 IEEE.

关键词： Power spectral density

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Algorithm for efficient 3D reconstruction of outdoor environments using mobile robots

Algorithm for efficient 3D reconstruction of outdoor environ...

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2011 IEEE International Conference on Robotics and Automation, ICRA 2011

作者： Fentanes, Jaime Pulido Zalama, Eduardo Gómez-García-Bermejo, Jaime CARTIF Foundation Spain Universidad de Valladolid Spain CARTIF Centro Tecnológico Dep. Of Robotics and Computer Vision Boecillo Valladolid Spain Dep. Of Systems Engineering and Automatic Control Industrial Engineering School Spain

ISBN: (纸本)9781612843865

In this paper, an algorithm for the reconstruction of an outdoor environment using a mobile robot is presented. The focus of this algorithm is making the mapping process efficient by capturing the greatest amount of information on every scan, ensuring at the same time that the overall quality of the resulting 3D model of the environment complies with the specified standards. With respect to existing approaches, the proposed approach is an innovation since there are very few information based methods for outdoor reconstruction that use resulting model quality and trajectory cost estimation as criteria for view planning. © 2011 IEEE.

关键词： Mobile robots

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Motivation and Competitive Learning in a Social Robot

Motivation and Competitive Learning in a Social Robot

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IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Dominguez, Salvador Zalama, Eduardo Garcia-Bermejo, Jaime G. Pulido, Jaime CARTIF Foundation Robotics Computer Vision and Real Time Division Boecillo Valladolid Spain University of Valladolid (Spain) Dep. of Systems Engineering and Automatic Control Industrial Engineering School Spain

ISBN: (纸本)9781424420575

This paper describes the motivation and learning subsystems of Arisco which is a mechatronic head with interactive capacity which includes high expressivity through gesturing, voice recognition, text to speech generation, visual tracking, and internet information retrieval. The general architecture is first described in the paper. Then, the learning capacity of Arisen is addressed. It learns and performs associations between different stimulus responses through several dynamic neural networks, guided by motivational drives. A number of experiments are discussed, covering stimulus competition, habituation, classical and operant conditioning.

关键词： Social robot learning interaction computer vision motivation

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Data-driven predictive current control for synchronous motor drives 12

Data-driven predictive current control for synchronous motor...

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12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020

作者： Carlet, Paolo Gherardo Favato, Andrea Bolognani, Saverio Dorfler, Florian University of Padova Electric Drives Laboratory Dep. of Industrial Engineering Padova Italy Eth Zurich Automatic Control Laboratory Zurich8092 Switzerland

ISBN: (纸本)9781728158266

Data-driven control techniques have become increasingly popular in recent years due to the availability of massive amounts of data and several advances in data science. These control design methods bypass the system identification step and directly exploit collected data to construct the controller. In this paper, we investigate the application of data-driven methods to the control of electric motor drives, and specifically to the design of current controllers for three-phase synchronous permanent magnet motor drives. Two of the most promising data-driven algorithms are presented, namely the Subspace Predictive control algorithm and the Data-Enabled Predictive control algorithm. The theory behind these techniques is first reviewed in the optimization-based control framework. Standard algorithms are slightly modified to fulfill the requirements of the specific application, and then simulated in the MATLAB Simulink environment. Some key aspects of real-time implementation are studied, providing a proof-of-concept demonstration of the applicability of these algorithms. The data-driven design is proposed for three different topologies of synchronous motors, proving the flexibility of the approach. © 2020 IEEE.

关键词： Model predictive control

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Decoupled feedforward-feedback periodic event-triggered control for disturbance rejection ⁎

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IFAC-PapersOnLine 2020年第2期53卷 2708-2713页

作者： Ernesto Aranda-Escolástico María Guinaldo José Luis Guzmén Sebastián Dormido Dep. of Software and Systems Engineering UNED Dep. of Computer Sciences and Automatic Control UNED Dep. of Informatics ceiA3 CIESOL University of Almería

In this paper, feedforward and feedback controllers are studied considering decoupled periodic event-triggering mechanisms for output and disturbance sensors. Stability and robustness conditions for linear systems are obtained considering transportation delays and actuator saturation following the Lyapunov-Krasovskii procedure. A numerical example shows that the proposed control strategy reduces the communication between sensors and controller significantly, while the system performance is not deteriorated.

关键词： Event-triggered control feedforward control Lyapunov stability time delay disturbance rejection saturation

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Human robot interaction from visual perception

Human robot interaction from visual perception

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2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

作者： Amat, J. Frigola, M. Casals, A. Res. Ctr. in Biomedical Engineering UPC- CSIC Barcelona Spain Dep. Automatic Control Res. Ctr. in Biomedical Engineering Technical University of Catalonia Barcelona Spain

ISBN: (纸本)0780384636

As robotics evolves towards application fields in which humans cooperate with robots, working closer and closer, the requirements for human robot interactions increase. This paper presents new advances in gesture based guidance and control of a robot in assistant tasks. The work described includes the integration of force and vision for the quantitative and qualitative appreciation of human intention and the robot behaviors to respond in real time to these human orders.

关键词： Robots

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