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检索条件"主题词=Control Engineering Computing"

共 1552 条记录，以下是261-270 订阅

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A Practical Bayesian Optimization Approach for the Optimal Estimation of the Rotor Effective Wind Speed

A Practical Bayesian Optimization Approach for the Optimal E...

引用

American control Conference

作者： Nikolaos Moustakis Sebastiaan Paul Mulders Jens Kober Jan-Willem van Wingerden Delft University of Technology (TU Delft) CD 2628 The Netherlands Delft Center for Systems and Control (DCSC) Department of Cognitive Robotics (COR)

ISBN: (纸本)9781538679012;9781538679265

Modern wind turbines require careful tuning of controller and estimator parameters. However, tuning requires expert control experience, and is therefore in practice often performed by a trial-and-error brute-force approach. The contribution of this work is twofold. Firstly, a framework for tuning the parameters for conventional control and estimator architectures with Bayesian optimization is proposed. Secondly, the proposed scheme is applied to the problem of tuning Kalman filter parameters for the estimation of the rotor effective wind speed. For accomplishing the beforementioned task, the Bayesian optimization machine learning algorithm uses entropy search as utility function. The NREL 5-MW reference wind turbine is used in high-fidelity simulation software to show the efficacy of the proposed methodology. The Bayesian optimized Kalman filter configuration, is shown to estimate the rotor effective wind speed with a root mean square error smaller than 5 %, with respect to the actual effective wind speed over all load cases.

关键词： Bayes methods control engineering computing entropy Kalman filters learning (artificial intelligence) mean square error methods power engineering computing power system control rotors search problems wind turbines

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Explosive detection system based on Leddar sensor and Self-Organizing Maps in controled environments

Explosive detection system based on Leddar sensor and Self-O...

引用

CHILEAN Conference on Electrical, Electronics engineering, Information and Communication Technologies (CHILECON)

作者： Fernando Morales Marcela Jamett es estudiante del programa de Magíster en Ciencias de la Ingeniería con Mención en Ingeniería Eléctrica Universidad de Santiago de Chile es académico asistente del Departamento de Ingeniería Eléctrica de la Universidad de Santiago de Chile

ISBN: (纸本)9781728131863

An explosives detection/identification system is presented to be used by a humanoid robot that must manipulate them, using a Leddar sensor and a SOM (Self-Organizing Map) network as data acquisition and processing tools, respectively. By creating a sensor/PC interface, a database with 16 distance measurements is created for each sample. These samples were of 2 kinds: explosives (object of detection, cylindrical) and a test object (rectangular). In total, the SOM network was trained with 100 vectors of 16 distances, achieving the separation of the 2 clusters, which is evidenced in the validation where 100% of the samples of the “explosive” pattern are grouped to the upper right side of the neurons output.

关键词： control engineering computing data acquisition humanoid robots object detection robot vision self-organising feature maps self-organising feature maps Humanoid robots control engineering computing robot vision Object detection Data Collection Methods EXPLOSIVES Detection systems data acquisition and processing GRHL3 gene

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Path Planning of a Networked Robot Using Camera Feedback to Minimize Computational Time

Path Planning of a Networked Robot Using Camera Feedback to ...

引用

IEEE International Conference on Signal Processing, computing and control (ISPCC)

作者： Ratish Kumar Rajiv Kumar Madhav J. Nigam Jaypee University of Information Technolgoy Waknaghat Solan H.P. India

ISBN: (纸本)9781728139890

Networked control System (NCS) is a feedback control system with control loops closed via a communication network. Now-a-days, NCS is being used to simplify various tasks in space exploration, aviation, transportation, disaster management and healthcare sector etc. NCS provides us the greater autonomy of remote monitoring in geographically distributed mobile robots. In the field of robotics, NCS facilitated robots are being used to execute various challenging tasks. In this paper various camera monitored optimum path planning for Networked control Robot have been presented. It has been observed that performance of these tasks highly depends upon the computational time taken by the controller. The computational time is the time required by a controller to execute the path planning of the robot from the images captured by camera-sensors. Therefore, in order to minimize total end-to-end delay between camera-sensor and moving robot, the computational time taken by the controller at remote end must be as minimum as possible for the real-time performance. The simulations of various image processing approaches have been performed using Matlab 2019a. In order to decide a suitable path planning approach, experimental results have been illustrated and discussed in Section III.

关键词： cameras control engineering computing feedback image sensors mobile robots networked control systems path planning robot vision Path planning computational time Mobile robots control engineering computing Networked control systems Cameras robot vision Sensors (image) Feedback Robot Feedback control systems controllers

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Image-Sequence-Based Mobile Robot Localization 8

Image-Sequence-Based Mobile Robot Localization

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8th IEEE Annual International Conference on Cyber Technology in Automation, control, and Intelligent Systems (IEEE-CYBER)

作者： Dong, Xingliang Yuan, Jing Sun, Fengchi Sun, Qinxuan Huang, Yalou Nankai Univ Coll Comp & Control Engn Tianjin Peoples R China Nankai Univ Coll Software Tianjin Peoples R China

ISBN: (纸本)9781538670576

Considering the structural similarity of environments, an image-sequence-based mobile robot localization algorithm is proposed, which utilizes image sequences to represent different places in environments. To achieve localization of the mobile robot, the mobile robot is allowed to explore the environments in advance. The RGB image data stream acquired by the mobile robot is partitioned into different image sequences according to the moving distance of the mobile robot. Then, each of image sequences is sent into an LSTM (Long Short Term Memory) network to learn the characteristics of each image sequence. The final cell states of the LSTM will be treated as the features of the image sequence. When the mobile robot travels in the environments once again, the newly acquired image sequence will be sent into this well-trained LSTM network to extract the features of the image sequence. By matching features among different image sequences, the mobile robot can recognize which place it may locate in. Finally, experimental comparisons with single-frame-based localization algorithms are conducted to verify the performance of the proposed algorithm from the localization accuracy.

关键词： control engineering computing image colour analysis image matching image sequences learning (artificial intelligence) mobile robots path planning recurrent neural nets robot vision image sequences Mobile robots control engineering computing recurrent neural nets image colour analysis robot vision image matching Path planning Environments

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Theatrical Performances Using Robots As Actors

Theatrical Performances Using Robots As Actors

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Research in Equity and Sustained Participation in engineering, computing, and Technology (RESPECT)

作者： Denise Szecsei University of Iowa Iowa City IA 52242 USA

ISBN: (纸本)9781728108223

The University of Iowa's Robot Theater Project uses robots to promote STEM education to underrepresented students. Students write scripts and program robots to give live performances on stage. In this paper, we introduce the project, describe the framework used to coordinate the behavior of multiple robots in a scene, and discuss the challenges with live performances involving robot actors from different manufacturers.

关键词： control engineering computing educational robots multi-robot systems robot programming STEM control engineering computing Robot programming multi-robot systems Robot Stems Stemming Scanning transmission electron microscopy actor Educational robots Cooperating robots

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A Reconfigurable Multipurpose System on Chip Platform for Metal Detection

A Reconfigurable Multipurpose System on Chip Platform for Me...

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IEEE GCC Conference & Exhibition

作者： Naram Mhaisen Omran Abazeed Youssef Al-Hariri Naveed Nawaz Abbes Amira Dept. of Computer Science and Engineering Qatar University Doha Qatar

ISBN: (数字)9781538694770

ISBN: (纸本)9781538694787

Modern day robotics is fast developing and evolving in various areas of multi sensor applications like body sensor networks and mine detection. A flexible platform that can be easily integrated into variety of sensors is very essential in any complex environment. A reconfigurable hardware provides a suitable platform to identify and improve existing models used in metal detection industry. In this paper, we propose and implement a metal detection module using Terasic Spider Robot, planned to be used in landmine detection operations. A hardware circuit model to detect metal was designed for the metal detection module and embedded on the TSR. The on board control system was implemented using a reconfigurable DE0 Nano System on Chip platform that can further process the information from the metal detector using efficient algorithm. The movement of the TSR was controlled remotely by Bluetooth using a smartphone app designed specifically for this application. The design also intimates the user with a message on detecting the metal. The design was implemented successfully and the metal detection module detected buried metals at a depth of maximum 7cm.

关键词： Bluetooth control engineering computing landmine detection metal detectors mobile computing mobile robots reconfigurable architectures sensor fusion smart phones system-on-chip telecontrol metal detectors system-on-chip landmine detection control engineering computing Bluetooth Smartphone REMOTE control Reconfigurable architectures Sensor fusion Mobile computing Mobile robots Metals terminate and stay resident Platform

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Floating Robot control System for Monitoring Water Quality Levels in Citarum River

Floating Robot Control System for Monitoring Water Quality L...

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IEEE International Conference on Internet of Things and Intelligence System (IOTAIS)

作者： Reza Putra Pratama Angga Rusdinar Ig. Prasetya Dwi Wibawa School of Electrical Engineering Telkom University Bandung Indonesia

ISBN: (纸本)9781728125176

Water is the primary need of every living thing, with the availability of water for living things, it is very helpful for daily needs. Especially river water in Indonesia has been heavily polluted, the pollution can come from industrial, household, agricultural and fishery waste. Therefore, the purpose of this research is to make a robotic solution to monitor river water quality regularly and can be monitored in real-time. The results obtained from this test are spherical robots and for fuzzy logic controller systems use 5 membership functions for yaw parameters with a sensor reading angle limit value [-90°, 90°]. For the pitch parameter, there are 3 membership functions with the limitation of sensor reading angle value [-32°, 32°]. There is a moving average as a filter to process the reading value of the gyroscope with a sample value of 10 times the reading because the response is following the actual reading and minimal noise. Dispatch of robot control commands can be sent and received in real-time. Haversine Formula calculation results have an accuracy of 92.67076% compared to the calculation of the distance from google maps.

关键词： control engineering computing fuzzy control fuzzy logic fuzzy set theory gyroscopes hydrological techniques river pollution rivers water quality Gyroscopes control engineering computing hydrological techniques River pollution Fuzzy Set Theory Water Quality Fuzzy control rivers Fuzzy logic reading robot control system spherical robot River waters

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Vision-Based Trainable Robotic Arm for Individuals with Motor Disability

Vision-Based Trainable Robotic Arm for Individuals with Moto...

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IEEE Annual Ubiquitous computing, Electronics & Mobile Communication Conference (UEMCON)

作者： Durga Sundaram Abhishek Sarode Kiran George Computer Engineering California State University Fullerton Fullerton California Electrical Engineering California State University Fullerton Fullerton California

ISBN: (纸本)9781728138862

This paper presents a trainable robotic arm with vision-based guidance capability. The arm can be trained to perform object manipulation tasks such as picking up an object from a location. The vision-based guidance, that utilizes a low-cost integrated webcam, augments the trainable arm's capability to pick up objects; it assists in situations in which the object to be manipulated is displaced from the location the arm was originally trained to pick up. The experimental results from 10 trails demonstrate the vision-based trainable arm's potential to be utilized as a robotic assistant for individuals with physical functioning difficulties.

关键词： control engineering computing handicapped aids manipulators medical robotics robot vision video cameras control engineering computing medical robotics robot vision handicapped aids Video cameras Manipulators robotic arm Arm spiral arm Object Manipulation

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Robotic Solutions for Eldercare

Robotic Solutions for Eldercare

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IEEE Annual Ubiquitous computing, Electronics & Mobile Communication Conference (UEMCON)

作者： Vanessa DeFreese Tyler Wright Ivy Robalino Gregg Vesonder School of Systems and Enterprises Stevens Institute of Technology Hoboken NJ

ISBN: (纸本)9781728138862

This paper seeks to study the capabilities of robotics to provide healthcare and support to an increasing elderly population. Two different types of robots, the TurtleBot 2 and NAO V5, are put in a variety of simulated eldercare scenarios to test their compatibility and performance. The robots will attempt to alert the elderly patient when it is time to take their medication and provide their daily dose. They will also monitor the patient's habits and attempt to locate them if they are not detected moving over a period of time. If the robot assesses that an emergency scenario is taking place, they will contact a human care provider. Future experiments are also proposed using real elderly people to test their satisfaction with the robots.

关键词： collision avoidance control engineering computing geriatrics health care human-robot interaction medical robotics mobile robots control engineering computing medical robotics Human machine interaction Collision avoidance Geriatrics Mobile robots Health Care Robot aged person

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UAV Autonomous Reconnaissance Route Planning Based on Deep Reinforcement Learning

UAV Autonomous Reconnaissance Route Planning Based on Deep R...

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IEEE International Conference on Unmanned Systems (ICUS)

作者： Tonghua Xu Nan Wang Hong Lin Zhaomei Sun College of Intelligence Science and Technology National University of Defense Technology Changsha China

In order to improve the autonomous reconnaissance efficiency of unmanned aerial vehicle (UAV) in an uncertain environment, situation and observation information acquired by UAV are input into the replay buffer. Model-free training is performed on the data of the replay buffer by deep reinforcement learning (DRL) method, so as to generate the corresponding network model. The reward function is designed for UAV regional reconnaissance missions to further improve the generalization ability of the model. The simulation results show that the UAV autonomous reconnaissance route planning algorithm based on DRL has a high degree of sustainable coverage and its patrol path is unpredictable.

关键词： aerospace computing autonomous aerial vehicles control engineering computing learning (artificial intelligence) path planning aerospace computing control engineering computing Unmanned Aerial Vehicle drone honey bees Path planning Reconnaissance route planning learning (artificial intelligence) Learning

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