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检索条件"机构=Department of Robotics Engineering Program"

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Pose Synchronization for Semi-Autonomous Dynamic Robotic Swarms with a Passivity-Short Human Operator 49

Pose Synchronization for Semi-Autonomous Dynamic Robotic Swa...

引用

49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Kanazawa, Reo Murao, Toshiyuki Kawai, Hiroyuki Kanazawa Institute of Technology Graduate Program in Mechanical Engineering Ishikawa Japan Kanazawa Institute of Technology Department of Robotics Ishikawa Japan

ISBN: (纸本)9798350331820

This paper presents a pose synchronization method for semi-autonomous dynamic robotic swarms with a passivityshort human operator. In the human-robot network, a human operator sends a command signal to and receives visual information from only a part of the robotic group. In this setting, the proposed dynamic control scheme achieves not only pose synchronization of all mobile robots but also convergence to the reference pose that the human operator specifies. The main advantage of the proposed method is to guarantee convergence of not only the position but also the orientation to the reference ones in the human-robot network. Finally, we provide human-in-the-loop simulation results through the human operation using a tablet PC to illustrate the performance of the proposed control method. © 2023 IEEE.

关键词： Synchronization

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Vision based people tracking using stereo camera and camshift

Vision based people tracking using stereo camera and camshif...

引用

6th International Conference on Intelligent robotics and Applications, ICIRA 2013

作者： Park, Kang-Il Park, Chan-Ik Lee, Jangmyung Interdisciplinary Program in Robotics Pusan National University Korea Republic of Department of Electrical Engineering Pusan National University Korea Republic of

ISBN: (纸本)9783642408519

In this paper proposes a visual manipulation method that incorporates computation of 3D object position from characteristic disparity of stereo image. First, we proceed to an image revision work using the calibration. To obtain the characteristic disparity, a set of characteristic points, essential to obtain characteristics like center points or corner points are determined from the CAMShift center of left and right images. By iterative computation and tracking in real time, the algorithm is able to robustly provide accurate 3D position of target objects. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Calibration

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A robotics engineering M.S. degree

A robotics engineering M.S. degree

引用

2010 ASEE Annual Conference and Exposition

作者： Gennert, Michael Michalson, William Demetriou, Michael Computer Science Department Robotics Engineering Program Worcester Polytechnic Institute United States Worcester Polytechnic Institute United States

There is an increasing demand for creative scientific, engineering, and management talent to meet national needs. We believe that the best way to educate professionals for leadership roles is in a unified multi-disciplinary curriculum. This paper describes one such program, a Master of Science degree in robotics engineering at Worcester Polytechnic Institute, whose goal is to prepare men and women for technical leadership in the robotics industry and research in robotics. The program, launched in fall 2009, develops competence in electro-mechanical-computational systems and an awareness of management systems. It constitutes a multi-disciplinary effort by faculty in Arts & Sciences (Mathematics and Computer Science), engineering (Electrical & Computer engineering and Mechanical engineering), and Management. The program is organized around a technical coursework core with select science and engineering electives. Technical strength is supplemented by organizational and management principles embodied in context courses in Systems engineering and Management. The program culminates in individual capstone projects that take the form of a thesis, directed research, or practicum with written report. In all cases, a public oral presentation is required. A B.S./M.S. option allows the program to be completed in a single additional year of work past the Bachelor's degree. By using existing courses where appropriate, we were able to start the program by developing only two new courses, Foundations of robotics and Robot Dynamics, supplemented by special topics, independent study, and other project work. We anticipate adding new courses as the program grows, additional faculty join the program, and as we introduce a Ph.D. in robotics engineering. Initial response to the program by students and industry has been very positive, and the program shows great promise to contribute significantly to meeting future engineering workforce needs. © American Society for engineering Education,

关键词： Curricula

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Ground following locomotion of a robot inspired by pill bugs

Ground following locomotion of a robot inspired by pill bugs

引用

2011 IEEE International Conference on robotics and Biomimetics, ROBIO 2011

作者： Park, Jongwon Kim, Young Kook Jung, Won Suk Kim, Kyung-Soo Kim, Soohyun Department of Mechanical Engineering KAIST Daejeon 305-701 Korea Republic of Robotics Program KAIST Daejeon 305-701 Korea Republic of

ISBN: (纸本)9781457721373

This paper introduces 'Ground Following Locomotion' as a means to traverse rough terrain inspired by pill bugs(Armadillidium vulgare). The locomotion of pill bugs is unique and effective on irregular terrain. Pill bugs bend their bodies actively along with the terrain to maintain traction force and the behavior enables them to overcome irregular terrain easily. This biological principle can be applied to small robots to overcome rough terrain by adjusting relative positions of body modules. Analysis and simulations will be conducted to compare performance of adjustable joint model(ground following locomotion) and fixed joint model and the results will show that the performance of ground following locomotion is effective to overcome vertical obstacles. The principle described here could be applied to small ground robots to improve mobility on rough terrains. © 2011 IEEE.

关键词： Robots

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Automatic Cataract and Cholesterol Detection System Based on Recurrent Neural Network (RNN): A Comparison with Convolutional Neural Network (CNN) and Siamese Neural Network (SNN) 1

引用

19th International Conference of Intelligent Unmanned Systems, ICIUS 2023

作者： Lie, Zener S. Widodo, Jatmiko A. F. Hanesi, Isabel K. P. Moningka, Matthew R. N. Mariana, Y. Astuti, Winda Akmeliawati, Rini Automotive and Robotics Program Computer Engineering Department BINUS ASO School of Engineering Bina Nusantara University Jakarta11480 Indonesia Product Design program Industrial Engineering Department BINUS ASO School of Engineering Bina Nusantara University Jakarta11480 Indonesia Robotics and Automation Research Group School of Electrical and Mechanical Engineering The University of Adelaide North Terrace Campus Adelaide Australia

ISBN: (数字)9789819765911

ISBN: (纸本)9789819765904

In Indonesia, the majority of blindness cases, approximately 81%, are attributed to cataract. Additionally, 35% of the population has higher cholesterol levels than the standard normal range. The lack of specialized medical equipment, such as the slit-lamp (Ruparelia in Dalhousie Med J 49(1), [1]) bio-microscope, and trained professionals, especially in rural areas, make it difficult to detect these conditions through eye examinations. To address this issue, a supervised machine learning method, the Recurrent Neural Network (RNN), has been utilized to create an iris scanner system that can identify cataract and high cholesterol in a patient. This system will classify eyes into three categories, i.e., cataract, high cholesterol, and normal iris. The computer simulations indicate that this technique is more accurate and requires less training time compared to the existing Convolutional Neural Network (ANN) and Siamese Neural Network (SNN)-based method, while achieving 100% accuracy. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Convolutional neural networks

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Hole filled 3D map using mobile robots in the urban environment

Hole filled 3D map using mobile robots in the urban environm...

引用

2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2011

作者： Park, Sang Un Shim, Inwook Chung, Myung Jin Department of Electrical Engineering KAIST Daejeon 350-701 Korea Republic of Robotics Program KAIST Daejeon 350-701 Korea Republic of

ISBN: (纸本)9781457707223

3D mapping and expression of the environment are very important with various applications in many different fields. Among the various sensors (vision sensor, infrared sensor, and LiDAR (Light Detection and Ranging) sensor), we used the LiDAR sensor in this paper because its accuracy is good and easy to handle. There exist holes in the result of 3D reconstruction. When these holes are filled, improved results of localization, and path planning are expected. We propose a contour based sampling algorithm to fill holes. It uses the information from regions near the holes for the prediction, and the results confirm that the filled regions look similar to the real environment. © 2011 IEEE.

关键词： Motion planning

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3D mapping in urban environment using geometric featured voxel

3D mapping in urban environment using geometric featured vox...

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2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2011

作者： Shim, Inwook Choe, Yungeun Chung, Myung Jin Robotics Program KAIST Daejeon 350-701 Korea Republic of Department of Electrical Engineering KAIST Daejeon 350-701 Korea Republic of

ISBN: (纸本)9781457707223

In recent year, much progress has been made in outdoor 3D mapping. However, 3D mapping in real time is still a daunting challenge in urban environment. This paper addresses the problem of 3D mapping from 3D laser scans in urban environments in real time. To do this, we proposed geometric featured voxel which can efficiently represent 3D urban structure without loss of geometric properties. For evaluation of the proposed voxel, we use Oakland dataset. © 2011 IEEE.

关键词： Mapping

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Preliminary Characterization of a Plastic Piezoelectric Motor Stator Using High-Speed Digital Holographic Interferometry 1

引用

SEM Annual Conference and Exposition on Experimental and Applied Mechanics, 2020

作者： Zhao, Z. Carvalho, P.A. Tang, H. Pooladvand, K. Gandomi, K.Y. Nycz, C.J. Furlong, C. Fischer, G.S. Robotics Engineering Program Worcester Polytechnic Institute WorcesterMA United States Mechanical Engineering Department Worcester Polytechnic Institute WorcesterMA United States

ISBN: (数字)9783030597733

ISBN: (纸本)9783030597726

Precise surgical procedures such as deep brain tumor ablation may benefit from intra-operative image guidance using magnetic resonance imaging (MRI). However, the MRI’s strong magnetic fields and constrained space pose the need for robotic devices to assist the surgeon. Piezoelectric motors are often used to actuate these robots. The piezoelectric resonant motor (PRM) is a class of such motors that consist of a bonded piezoelectric ring stator and a frictionally coupled rotor. Steady-state excitation at certain frequencies leads to specific mode shapes on the stator with surface waves having both in-plane and out-of-plane displacement components that cause the coupled rotor to spin. High-speed digital holography (HDH) can be used to measure time variant displacements with nanometer and microsecond resolution. We present initial measurements acquired at 67 k frame per second (fps) of two custom-designed plastic stator components operating at drive frequencies of 6.788 kHz and 6.980 kHz, respectively. Circumferential motion of the traveling surface waves with out-of-plane peak-to-peak displacement of approximately 100 nm peak-to-peak amplitude and a settling time of 2.99 ms was observed. Results demonstrate that plastic stators may be a promising alternative to metallic stators for use in the MRI environment. © 2021, The Society for Experimental Mechanics, Inc.

关键词： Stators

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DeepCat: A Deep Learning Approach to Understand Your Cat's Body Language 11

DeepCat: A Deep Learning Approach to Understand Your Cat's B...

引用

11th International Japan-Africa Conference on Electronics, Communications, and Computations, JAC-ECC 2023

作者： Fawzy, Arwa Hassan, Ahmed Gad, Ahmed Zaky, Ahmed B. El-Hussieny, Haitham Alexandria Egypt program Alexandria Egypt Benha University Faculty of Engineering at Shoubra Electrical Engineering Department Egypt Egypt-Japan University of Science and Technology Department of Mechatronics and Robotics Engineering Alexandria Egypt

ISBN: (纸本)9798350369328

Pet owners experience difficulty in understanding their pets' body language and its implications for animal welfare, given that animals cannot utilize human speech to communicate their emotions and health conditions. However, previous experiments for analyzing cat behavior have demonstrated that cats are precisely expressive. DeepCat, a deep-learning approach developed in this study, translates cats' body language signals, enabling owners to discern their feline companions' intended messages and emotional states. Our DeepCat model was trained on a dataset comprising 10,000 cat images, implementing automatic labeling to track key features, including the tail, eyes, and mouth. Presented as a Flutter application, DeepCat can function everywhere, allowing owners to easily monitor their cats and make informed decisions in situations that require caution. This paper discusses the potential benefits and limitations of DeepCat and provides suggestions for future research in this domain. © 2023 IEEE.

关键词： Emotion Recognition

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Inpatient Monitoring System: Temperature, Oxygen Saturation, Blood Pressure, Heart Rate, and Infusion Automation Based on ESP 32, IoT, and Mobile Application 7

Inpatient Monitoring System: Temperature, Oxygen Saturation,...

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7th International Conference of Computer and Informatics engineering, IC2IE 2024

作者： Joseph, Irvanda Anthony, Patrick Astuti, Winda Lie, Zener Sukra Iwan Solihin, Mahmud Bina Nusantara University Binus Aso School of Engineering Automotive and Robotics Program Computer Engineering Department Jakarta11480 Indonesia Ucsi University Department of Mechanical and Mechatronics Engineering Kuala Lumpur Malaysia

ISBN: (纸本)9798331505530

The implementation of a patient monitoring system and infusion automation which aims to ensure regular and periodic monitoring of inpatient conditions are applied in this system. This embedded system is applied in hospitals and addresses the uneven distribution of healthcare workers in Indonesia, particularly in remote areas. Currently, manual checks by nurses can lead to errors and reduced patient comfort. The improvement supervision is developed in this work. The system monitored body temperature, oxygen saturation, blood pressure, heart rate, and automated infusions. All the embedded systems are connected to Internet of Things (IoT) and a real-time database accessible through an application and web. This system allows doctors and hospital authorities to make decisions based on patient condition history. The testing phase of the system shows four data acquisition devices (temperature, oxygen saturation, blood pressure, and heart rate), an ESP 32, and Firebase as a database, have ability to capture and send real-time data every five seconds and can be accessed by doctors, patients, and hospital authorities. © 2024 IEEE.

关键词： Remote patient monitoring

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