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4th International Conference on Embedded and Distributed Systems, EDiS 2024

作者： Amara, Kahina Dib, Wassila Djekoune, A. Oualid Maoudj, Abderraouf Zenati, Nadia Center for Development of Advanced Technologies Cdta Industrial Automation & Robotics Division Algiers Algeria Center for Development of Advanced Technologies Cdta Telecom Division Algiers Algeria Saudi Arabia

ISBN: (纸本)9798331519872

The coastline is considered one of the fastest-evolving biological and natural environments, impacted by factors such as waves, rising sea levels, shoreline morphology, and sediment supply. Algeria's maritime front extends over 1,622 kilometers. Safeguarding this strategic zone from degradation threats caused by economic activities, population concentration, and coastal infrastructure is paramount for the nation's security and strategy. The use of surface vehicles or drones for coastline monitoring and surveillance complements existing in situ measurement techniques. This paper proposes a surface drone named AquaRob (Aquatic-Robot) for environmental measurements and maritime surveillance. We present the designed hardware and software architectures, aiming to achieve semi-autonomous operations for specific maritime surveillance and environmental monitoring missions. The hardware architecture supports wireless sensor network technology, enabling the surface drone to be observable, locatable, and integrated into an ad hoc sensor network. AquaRob has completed preliminary tests in an aquatic environment. © 2024 IEEE.

关键词： Environmental monitoring

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

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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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16-Layer 3D Stacking Based on Self-Assembly Technology for HBM Application

16-Layer 3D Stacking Based on Self-Assembly Technology for H...

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2024 International 3D Systems Integration Conference, 3DIC 2024

作者： Zehua, Du Kikuchi, Hiroshi Hishinuma, Hayato Tanaka, Tetsu Fukushima, Takafumi Graduate School of Engineering Tohoku University Sendai Japan Advanced Technology Development Center Yamaha Robotics Holdings Co. Ltd. Tokyo Japan

ISBN: (纸本)9798331516505

We address a trade-off issue between chip assembly time and positioning accuracy in a traditional pick- and-place method using self-assembly technology driven by liquid surface tension. This method allows 16-layer stacking of 50-µm-thin chips fabricated via Plasma Dicing Before Grinding (PDBG). The surface tension of liquid droplets enables sub-50 nm alignment accuracy even with manual chip placement. By identifying key parameters such as pre-alignment position and liquid volume/distribution, we optimize the self-assembly process for High Bandwidth Memory (HBM) applications. Additionally, we discuss the effects of liquid bridges and wetting contrast between the chip surface and sidewall on multi-layer stacking. © 2024 IEEE.

关键词： Wetting

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A Novel Quadruple Dispensing Heads Sticking Adhesive Tape Robot System and Its Applications

A Novel Quadruple Dispensing Heads Sticking Adhesive Tape Ro...

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2025 IEEE International Conference on Mechatronics, ICM 2025

作者： Suwanratchatamanee, Kitti Sawada, Hideyuki Hashimoto, Shuji Robotics Research and Development Center GOLDEN ROBOT Co. Ltd. Rayong Thailand Grad. School of Advanced Science and Engineering WASEDA University Tokyo Japan WASEDA University Tokyo Japan

ISBN: (纸本)9798331533892

Industrial robots are increasingly being used to assist and replace workers in factories to address the global labor shortage in various applications. The use of robots can provide many benefits to the effective production and manufacturing. Taping is one of the robots' applications. However, current tape robots can only tape one strip at a time, which can be time-consuming in practice if multiple strips of tape are required at the same time for special workpieces. This paper presents a novel sticking adhesive tape robot system. As the object to be taped are four-line hot pipes to be attached on the outer shell of refrigerator, thus four strips of tape are required at the same time before assembly process. The proposed robot system contains the novel tooling called 'Quadruple Dispensing Heads'. This tooling was developed to tape four strips of tape to be applied simultaneously. This tooling can adjust the gap of tape strips from 80mm to 110mm. Moreover, the research objective is to produce a robot system that can apply tape with higher quality and faster than human workers, so that human workers can move on to more complicated tasks instead of performing repetitive, routine tasks that do not require such special skills and knowledge. As the result, our proposed system can achieve the four lines of *** length, through IS7N pushing force (when operate the air working pressure at ***) sticking taping task perfectly with 100% success rate of experiments in just 3 seconds and faster than human worker significantly. Since, human worker needs about 3 seconds per each I.5m taping line. Therefore, human needs approximately 12 seconds in total for four lines. Accordingly, our proposed robot system is faster than human worker in four times. © 2025 IEEE.

关键词： Industrial robots

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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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AquaRob: An Unmanned Surface Drone for the Coastal Surveillance and Environmental Monitoring

AquaRob: An Unmanned Surface Drone for the Coastal Surveilla...

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International Conference on Embedded & Distributed Systems (EDiS)

作者： Kahina Amara Wassila Dib A. Oualid Djekoune Abderraouf Maoudj Nadia Zenati Industrial Automation & Robotics Division Center for Development of Advanced Technologies CDTA Algiers Telecom Division Center for Development of Advanced Technologies CDTA Algiers Algeria King Fahd University of Petroleum and Minerals (KFUPM) KSA

ISBN: (数字)9798331519872

ISBN: (纸本)9798331519889

关键词： Sea surface Software architecture Navigation Surveillance Surface morphology Prototypes Sea measurements Hardware Environmental monitoring Drones

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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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