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Fully tunable Fabry-Pérot cavity based on MEMS Sagnac loop reflector with ultra-low static power consumption

Microsystems & Nanoengineering 2024年第4期10卷 355-365页

作者： Young Jae Park Man Jae Her Youngjae Jeong Dong Ju Choi Dong Uk Kim Min Gi Lim Myung Seok Hong Hyug Su Kwon Kyoungsik Yu Sangyoon Han Department of Robotics and Mechatronics Engineering Daegu Gyeongbuk Institute of Science and Technology(DGIST)Daegu 42988Republic of Korea School of Electrical Engineering Korea Advanced Institute of Science and Technology(KAIST)Daejeon 34141Republic of Korea Agency for Defense Development DaejeonRepublic of Korea

The Fabry-Pérot interferometer,a fundamental component in optoelectronic systems,offers interesting applications such as sensors,lasers,and *** this work,we show a tunable Fabry-Pérot cavity consisting of tunable Sagnac loop reflectors(SLRs)and phase shifters based on electrostatic microelectromechanical(MEMS)*** fabrication process of the device is compatible with the standard wafer-level silicon photonics fabrication *** electrostatic actuation mechanism provides well-balanced,scalable pathways for efficient tuning *** extinction ratio of the continuously tunable SLRs’reflectivity is larger than 20 *** 2πphase shifting is achieved,and response times of all the components are less than 25μ*** actuators have extremely low static power,measuring under 20 fW and the energy needed for tuning is both below 20 pJ.

关键词： tunable tuning interferometer

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Waste Sorting Automation with Visual Sensor and RFID 3

Waste Sorting Automation with Visual Sensor and RFID

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3rd International Conference on advanced Electrical Engineering, ICAEE 2024

作者： Seray, Seif Eddine Bey, Ishak Akli, Isma University of M'hammed Bouguerra Department of Control and Power Boumerdes Algeria Center for Development of Advanced Technologies Robotics and Industrial Automation Division Algiers Algeria

ISBN: (纸本)9798350349351

The quantity of domestic wastes is constantly increasing, resulting on overload of wastes. Recycling became imperative for ecologic and economical considerations in order to apply circular economy rules. In general, humans are recruited in waste sorting plants for performing the dangerous and tedious sorting tasks. The automation is, thus, necessary. This paper deals with the problem of waste sorting automation. The proposed solution consists of waste recognition and classification using YOLOv8, and human presence detection using RFID (Radio frequency Identification) tags. The proposed solution is validated in simulation. The virtual robot performs a task in order to simulate the behavior of a real robot with high fidelity, depending on the information coming from the RFID tags and a visual sensor. © 2024 IEEE.

关键词： Radio frequency identification (RFID)

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Exploring the Usability of Quantum Machine Learning for EEG Signal Classification 13th

Exploring the Usability of Quantum Machine Learning for E...

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13th International advanced Computing Conference, IACC 2023

作者： Singh, Devansh Kanathey, Yashasvi Waykole, Yoginii Mishra, Rohit Kumar Walambe, Rahee Aqeel, Khan Hassan Kotecha, Ketan Symbiosis Institute of Technology Symbiosis International University Pune India Centre for Development of Advanced Computing Delhi India SIU Pune India Department of Applied Artificial Intelligence and Robotics Aston University Birmingham United Kingdom

ISBN: (纸本)9783031566998

The classification of Electroencephalogram (EEG) signals into distinct frequency bands is a critical task in understanding brain function and diagnosing neurological disorders. The information obtained from frequency-specific classification has multiple applications, such as frequency-based wheelchair control, frequency-based 36-stroke brain operated keyboard for paralysed patients etc. In this work, a method based on machine learning to develop the frequency-based classification of EEG signals is proposed. The performance of Classical Machine Learning (CML) algorithms and Quantum Machine Learning (QML) techniques for the classification of EEG signals across four frequency bands are investigated. The primary objective is to evaluate the performance of QML models against traditional CML models in terms of computational efficiency, time efficiency and accuracy and uncover potential benefits offered by quantum computing for a particular task of classifying EEG signals. The goal is to assess the advantages of using quantum algorithms for classifying EEG signals. This includes improving accuracy and enhancing efficiency. These findings add to the existing knowledge about how quantum machine learning can benefit neuroscience in terms of enhancing methods that rely on EEG data. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Support vector machines

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AMR Navigation Based on Dynamic Control Sampling Space

AMR Navigation Based on Dynamic Control Sampling Space

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2023 International Conference on Advances in Electronics, Control and Communication Systems, ICAECCS 2023

作者： Bouraine, Sara Hasani, Idriss Djoudi, Alla Gourine, Ahmed Kazed, Boualem Center for Development of Advanced Technologies Division Robotics and Industrial Automation Baba Hassen Algeria University BLIDA-1 Electronic and Automation Department Blida Algeria University of Science and Technology Houari Boumedienne Bab ezzouar Algeria

ISBN: (纸本)9781665463102

This paper addresses the problem of local navigation for autonomous mobile robots in partially observable dynamic environments. The main contribution of this work is the expansion of a sampling based approach to deal with the robot and environment dynamic constraints and integrate a safety distance to keep the robot away from collisions. The developed algorithm has been implemented on a robotic platform with a Robot Operating System based embedded architecture, where it has been tested and validated in an indoor environment. © 2023 IEEE.

关键词： Navigation

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Stable CoM Trajectory Generation for Biped Robots based on Heuristic Capture Point Tracking Approach

Stable CoM Trajectory Generation for Biped Robots based on H...

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IEEE Punecon

作者： Kumod K. Sharma Sunil Nimje S. E. Talole Center for Systems and Technologies for Advanced Robotics Research & Development Estt (Engrs) Pune India Department of Mechanical Engineering Defence Institute of Advanced Technology Pune India

ISBN: (数字)9798331527822

ISBN: (纸本)9798331527839

Biped locomotion is a complex phenomenon. As the bipedal robotic system possesses multiple degrees of freedom (DoF), the resulting dynamics is highly nonlinear and coupled. However for practical purposes, reduced and simplified dynamical models such as Linear Inverted Pendulum Model (LIPM) have been widely used for gait generation. In this work, an LIPM based Capture Point (CP) method has been worked out to achieve stable and robust walk for biped robot. An existing algorithm has been modified to avoid infeasibility of solution while generating the desired trajectories of Zero Moment Point (ZMP), CP and Center of Mass (CoM) for stable bipedal locomotion and the efficacy of the approach is validated through simulations. It is shown that the modification also offers an approach to adjust footprint up to a certain extent according to design requirements or terrain conditions.

关键词： Legged locomotion Simulation Heuristic algorithms Trajectory Nonlinear dynamical systems Robots

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Making Biometric Identification with EMG Easier: Using a Single Channel for Specific Purposes

Making Biometric Identification with EMG Easier: Using a Sin...

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International Conference on advanced Electrical Engineering (ICAEE)

作者： Mehdi Chames Eddinne Layes Safia Benahmed Omar Kermia Electronics department Ecole National Polytechnique d'Alger Algiers Algeria Robotics and industrial automation Center for development of advanced technologies Algiers Algeria

ISBN: (数字)9798350349351

ISBN: (纸本)9798350349368

EMG has become a powerful method that was first used to identify muscle disorders in medical settings. Now, EMG signals are being used in a new way to identify people. Most biometric methods use complex systems with many channels, which makes them hard to use in real life. This study challenges this idea by suggesting that identification can be done with just one EMG channel for a smaller group of people. We explain how to collect, preprocess, and enhance data for EMG-based identification. We use a stacked Long Short-Term Memory (LSTM) neural network to classify EMG signals accurately and effectively. Our results show high accuracy and F1 scores equal to 96.4, which means our approach works well. This research not only improves EMG-based identification systems but also has potential uses in biometrics and other areas.

关键词： Electrical engineering Accuracy Biological system modeling Neural networks Muscles Biometric identification Electromyography Complex systems Long short term memory

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Waste Sorting Automation with Visual Sensor and RFID

Waste Sorting Automation with Visual Sensor and RFID

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International Conference on advanced Electrical Engineering (ICAEE)

作者： Seif Eddine Seray Ishak Bey Isma Akli Department of Control and Power University of M'hammed Bouguerra Boumerdes Algeria Robotics and Industrial Automation Division Center for Development of Advanced Technologies Algiers Algeria

ISBN: (数字)9798350349351

ISBN: (纸本)9798350349368

关键词： Visualization Automation Software architecture Operating systems Robot vision systems Robot sensing systems Recycling RFID tags Middleware Sorting

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MSCKF-DVIO: Multi-State Constraint Kalman Filter based RGB-D Visual-Inertial Odometry with Spline Interpolation and Nonholonomic Constraint

MSCKF-DVIO: Multi-State Constraint Kalman Filter based RGB-D...

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International Conference on Ubiquitous Robots (UR)

作者： Kwangyik Jung Jaebong Song Samwoo Seong Hyun Myung Department of Autonomous Driving Software Development Twinny Yuseong-gu Republic of Korea Urban Robotics Lab School of Electrical Engineering Korea Advanced Institute of Science and Technology Republic of Korea

ISBN: (数字)9798350361070

ISBN: (纸本)9798350361087

This study presents MSCKF-DVIO (Multi-State Constraint Kalman Filter - Depth-aided Visual Inertial Odom-etry) as an innovative approach to address the limitations of existing methods. MSCKF-DVIO leverages RGB-D images and low-cost IMU measurements to enhance the accuracy and efficiency of visual-inertial odometry systems. The proposed framework jointly optimizes RGB-D images and low-cost IMU measurements, enabling robust and precise state estimation. By reducing the number of state variables compared to the existing MSCKF-VIO, the efficiency of state augmentation and covariance computations is significantly enhanced. Notably, the prediction of the future state is achieved through the interpolation of past keyframe viewpoint poses from the image and short-time IMU integration. The proposed MSCKF-DVIO improves the accuracy of estimation by applying nonholonomic constraints (NHCs) of a differential-wheeled mobile robot and utilizing the zero velocity update (ZUPT) based on stationary state determination. The efficacy of MSCKF -DVIO is evaluated through the Absolute Pose Error (APE) using 3D LiDAR-based localization as the ground truth. The evaluation includes pose estimation outcomes and performance evaluations in comparison to other algorithms. The results demonstrate significant promise of MSCKF-DVIO for improving the performance and reliability of visual-inertial odometry systems.

关键词： Interpolation Visualization Accuracy Stationary state Filtering algorithms Information filters Real-time systems

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A Real- Time Multi-Camera Auto-Adjustment Framework for Infrastructure Inspections

A Real- Time Multi-Camera Auto-Adjustment Framework for Infr...

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IEEE/SICE International Symposium on System Integration

作者： Chuong Phuoc Le Charles Ellison Steven Bunkley Hung La Anton Netchaev Department of Computer Science and Engineering Advanced Robotics and Automation (ARA) Lab University of Nevada Reno NV USA USACE Engineer Research and Development Center (ERDC) Information Technology Lab Vicksburg MS USA

In this paper, we proposed a novel multi-camera auto-adjustment framework for infrastructure inspections, specifically 3D point cloud mapping via lidar-camera fusion. Our method uses a single controller for consensus target brightness and adaptive lighting. In addition, a vignette correction filter was created to apply to images outputted from cameras to avoid dark strips on the point cloud data. This approach is designed to be a versatile, real-time friendly, and platform agnostic software stack.

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Utilizing Artificial Intelligence (Ai) and Knowledge Based Engineering (Kbe) for Enhanced Ship Design: A Technical Feasibility

SSRN

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SSRN 2023年

作者： Shahzad, Tufail Peng, Wang Hoffmans, Jacques van Lith, Peter School of Marine Science and Technology Northwestern Polytechnical University China Department of Innovation MasterShip Software BV Netherlands Department of Research & Development MasterShip Software BV Netherlands Department of Advanced robotics Multimotions BV Netherlands

As the shipbuilding industry continues to evolve and embrace new technologies, artificial intelligence (AI) and knowledge-based engineering (KBE) software have emerged as promising tools for enhancing the design process. This paper examines the technical feasibility of utilizing artificial intelligence (AI) and Knowledge-Based Engineering (KBE) software for ship design, aiming to virtually incorporate practical knowledge and technical constraints of experienced workers during detailed engineering and work preparation stages. While the shipbuilding industry has made significant advancements in CAD/CAM technology, AI/KBE software could potentially simulate human problem-solving processes to make informed decisions. Additionally, the paper examines the potential economic and modernization impacts of this technology on ship design and construction. The study concludes that such a system is possible, and could enhance the decision-making process and improve the maturity of CAD/CAM applications within the shipbuilding industry. This research also highlights the potential of AI/KBE software for future ship design and calls for further research and development in this area to fully realize its benefits. © 2023, The Authors. All rights reserved.

关键词： Shipbuilding

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