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检索条件"任意字段=International Conference on Advances in Science, Engineering and Robotics Technology"

共 47828 条记录，以下是881-890 订阅

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Classification of Fall Detection Based on Daily Living Activities using Machine Learning Approach

Classification of Fall Detection Based on Daily Living Activ...

引用

2023 international conference on Recent advances in science and engineering technology, ICRASET 2023

作者： Manojkumar, S.B. Vishwanath, B.R. Srividya, C.N. Sandeep, V.R. Adichunchanagiri University Bgs Institute of Technology Electronics and Communication Engineering B G Nagara Mandya India Rajeev Institute of Technology Vtu Electronics and Communication Engineering Hassan India Sjm Institute of Technology Electronics and Communication Engineering Chitradurga India

ISBN: (纸本)9798350306927

Population aging is a worldwide phenomenon, with agricultural regions housing the greatest proportion of aged individuals in the labor force per unit of population. Nonetheless, in the area of agricultural machinery, very few comprehensive investigations on farmer falls have been carried out. The implementation of classification techniques for monitoring devices to identify farmworkers' falls and non-fall movements is the main topic of this study. Agricultural biomechanical parameters are taken into account while identifying everyday living activities. In this study, 40 healthy participants who conducted a activities of daily living (ADLs) and range of falls had their initial acquisition datasets of signals containing collected and processed signals from one gyroscope and two accelerometers. Using spatial features, the machine-learning classifiers were trained to discriminate between fall and non-fall events. The efficacy of the suggested strategy was assessed by supervised machine learning experiments. The k-nearest-neighbors (KNN) and support vector machine (SVM) algorithms were able to distinguish between falls and ADLs (binary-class classification) with ROC auc-scores of 0.999. © 2023 IEEE.

关键词： Support vector machines

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Trajectory Tracking Compliant Control for Lower Limb Exoskeleton Based on Interaction Torque Estimation 3

Trajectory Tracking Compliant Control for Lower Limb Exoskel...

引用

3rd international conference on Service robotics, ICoSR 2024

作者： Zeng, Haozhou Liu, Xiangzhi Huang, Xiaopeng Liu, Tao School of Mechanical Engineering Zhejiang University State Key Laboratory of Fluid Power and Mechatronic Systems Hangzhou China

ISBN: (纸本)9798350367119

The lower limb rehabilitation exoskeleton significantly enhances walking function in patients with lower limb motor dysfunction. Understanding the human-machine interaction force is crucial for studying the control mechanisms of the exoskeleton. This research employs a back propagation neural network (BPNN) to estimate interaction torque, eliminating the need for torque sensors and thereby lowering the cost and complexity of the exoskeleton hardware. Besides, it has higher estimation accuracy compared to the dynamic modeling method. Knowing the torque information, we design a trajectory tracking compliant controller. The controller adopts the admittance control method to ensure compliance and safety. By specifying the desired lower limb motion trajectory, the controller helps guide the user's gait toward the physiology gait pattern. The effectiveness of the controller based on torque estimation was verified on a prototype lower limb exoskeleton. Firstly, the torque estimation error based on BPNN is reduced by 33% compared with the modeling method. Besides, the trajectory tracking controller reduces the absolute value of interaction torque by 30% compared with the transparent mode and makes the user's gait consistent with the target trajectory. This work advances lower limb exoskeleton control technology and positively contributes to the recovery of patients with gait abnormalities. © 2024 IEEE.

关键词： Exoskeleton (robotics)

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Control Autonomous Mobile Robot for Firefighting Task

Control Autonomous Mobile Robot for Firefighting Task

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2024 international conference on Control, robotics and Informatics, ICCRI 2024

作者： Nguyen, Anh P.T. Nguyen, Nguyen X. Hanoi University of Science and Technology Faculty of Automation Hanoi Viet Nam Hanoi College of Electro-Mechatronics Electrical Engineering Department Hanoi Viet Nam

ISBN: (纸本)9798350380309

Fire plays an indispensable role for humans but fire accident is the leading hazard endangering human life and health, leads to unpredictable loss to the economy, and destroys the environment. Fires when outbreak will push the firefighters on duty facing with dangers. Research and development of firefighting robots to replace firefighters become necessary. In general, firefighting robots are required to be able to move on chaotic and constantly changing terrain, avoid obstacles, detect and approach to fire areas, extinguish fires and save victim. In this research, we have designed and manufactured a belt-driven mobile robot capable of moving on a number of variable terrains, integrated with a machine vision system to detect and identify fires. PLC-based controller is responsible for control the robot to approach the fire areas and avoid obstacles. Experiment work has been conducted and results showed the accuracy of fire detection and an ability of the proposed robot in performing the required firefighting activities. © 2024 IEEE.

关键词： Fire extinguishers

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Research on Climbing Motion Control of Snake-Shaped Robot for Variable Diameter Piles 3

Research on Climbing Motion Control of Snake-Shaped Robot fo...

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3rd international conference on Service robotics, ICoSR 2024

作者： Ye, Jinhu Zhang, Jie Sheng, Ouyang Luoding Polytechnic Guangdong China School of Automation Science and Engineering South China University of Technology Guangdong China

ISBN: (纸本)9798350367119

In this paper, the movement control of snake-shaped robot for pipeline clamber is studied, and a method based on neural network and Sigmoid joint decoupling is proposed to solve the adaptive problem of snake-shaped robot in pipeline climbing. By obtaining the angle information and angle change law of the snake-shaped robot, effectively Forecast the change law of the pipeline diameter parameters can be realized, so as to further estimate and predict the parameter adjustment law controlled by the snake-shaped robot, and realize the effective decoupling of the joint angle of the robot, thus improving the adaptability of the robot to climbing the pipeline. The effectiveness of the proposed method is verified by experiments and simulations. © 2024 IEEE.

关键词： Long short-term memory

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Reinforcement Learning for Quadrupedal Locomotion: Current Advancements and Future Perspectives 9

Reinforcement Learning for Quadrupedal Locomotion: Current A...

引用

9th international conference on Mechanical engineering and robotics Research, ICMERR 2025

作者： Gurram, Maurya Uttam, Prakash Kumar Ohol, Shantipal S. Computer Science and Engineering Vellore Institute of Technology AP Amaravati India Electrical Electronics and Computer Science Indian Institute of Science Bangalore India COEP University Pune India

ISBN: (纸本)9798331509262

In recent years, reinforcement learning (RL) based quadrupedal locomotion control has emerged as an extensively researched field, driven by the potential advantages of autonomous learning and adaptation compared to traditional control methods. This paper provides a comprehensive study of the latest research in applying RL techniques to develop locomotion controllers for quadrupedal robots. We present a detailed overview of the core concepts, methodologies, and key advancements in RL-based locomotion controllers, including learning algorithms, training curricula, reward formulations, and simulation-to-real transfer techniques. The study covers both gait-bound and gait-free approaches, highlighting their respective strengths and limitations. Additionally, we discuss the integration of these controllers with robotic hardware and the role of sensor feedback in enabling adaptive behavior. The paper also outlines future research directions, such as incorporating exteroceptive sensing, combining model-based and model-free techniques, and developing online learning capabilities. Our study aims to provide researchers and practitioners with a comprehensive understanding of the state-of-the-art in RL-based locomotion controllers, enabling them to build upon existing work and explore novel solutions for enhancing the mobility and adaptability of quadrupedal robots in real-world environments. © 2025 IEEE.

关键词： Controllability

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Sensitivity Analysis of Marine Operations Subjected to Environmental Loads Using Co-Simulation Approach 8

Sensitivity Analysis of Marine Operations Subjected to Envir...

引用

8th IEEE international conference on Advanced robotics and Mechatronics, ICARM 2023

作者： Liu, Zizheng Chu, Yingguang Li, Guoyuan Hildre, Hans Petter Zhang, Houxiang Norwegian University of Science and Technology Department of Ocean Operations and Civil Engineering Aalesund6009 Norway University of Southern Denmark Department of Mechanical and Electrical Engineering Alsion Sonderborg26400 Denmark

ISBN: (纸本)9798350300178

In this paper, a sensitivity analysis evaluation strategy of marine operations subjected to environmental loads is present. The data generation is based on the co-simulation platform Vico where the virtual marine operation system is constructed. The dynamic time warping approach is used to process the rolling motion data in time-series sequences to measure the similarity. The sensitivity analysis is carried out based on the rolling motion data using the modified PAWN method, which can get the Kolmogorov- Smirnov statistic indicating the difference between unconditional and conditional CDFs. Simulations are designed and carried out to verify the feasibility. The results can provide a reference for allowable marine operation environment windows and also for further compensation research. © 2023 IEEE.

关键词： Sensitivity analysis

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A Method for Target Detection and Tracking of the Recycling Robot in Nuclear Power Plant

A Method for Target Detection and Tracking of the Recycling ...

引用

international conference on Biomimetic Intelligence and robotics & Medical robotics Forum, ICBIR+MRF 2024

作者： Huan, Jiale Cui, Tengfei Han, Zhe Chen, Pu Tian, Ye Duan, Xingguang The School of Mechatronical Engineering Beijing Institute of Technology Beijing100081 China Institute of Engineering Medicine Beijing Institute of Technology Beijing100081 China The Key Laboratory of Biomimetic Robots and Systems Beijing Institute of Technology Ministry of Education Beijing100081 China

The detector assembly recovery robot can replace the manual recovery of the detector assembly in the core of the nuclear power plant. To achieve the visual servo control for the recycling robot, this paper adopts a target detection and tracking method for the recycling robot in a nuclear power plant. Through the image processing algorithm, the target area is segmented to greatly reduce the computational amount in the recognition process and obtain more accurate target pixels. The compression tracking algorithm is used to track the detector components in real time to ensure the real-time information acquisition. The positioning accuracy of the visual servo control system was tested by repeated localization experiments, which show that the positioning accuracy is better than 2mm. © 2024 The Authors.

关键词： Target tracking

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Transformative Potential IoT Sensor Frameworks for Real-Time Alzheimer's Detection and Monitoring in Elderly Populations

Transformative Potential IoT Sensor Frameworks for Real-Time...

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2024 international conference on advances in Computing Research on science engineering and technology, ACROSET 2024

作者： Mani, Kamlesh Singh, Kamlesh Kumar Litoriya, Ratnesh Computer Science and Engineering Amity University Lucknow India Electronics and Communication Amity University Lucknow India Medi-Caps University Computer Science and Engineering Indore India

ISBN: (纸本)9798350388800

This review paper presents a comprehensive overview of IoT sensor-based frameworks for real-time Alzheimer's disease detection and monitoring in elderly populations. The paper examines the current state of Alzheimer's disease, including its definition, stages, symptoms, and challenges in diagnosis. It explores the importance of early detection and monitoring in improving patient outcomes and highlights the role of IoT sensors in enabling real-time monitoring of physiological parameters, activity levels, and behavior patterns associated with Alzheimer's disease. The paper discusses various applications of IoT sensors in healthcare and disease monitoring, including smart home monitoring systems, wearable sensor-based interventions, and community-based screening programs. It analyzes methodologies, technologies, and outcomes in IoT sensor-based research, emphasizing the integration of machine learning algorithms for real-time analysis of sensor data. Additionally, the paper addresses challenges and future directions in the field, including regulatory and ethical considerations, technical challenges, and potential advancements. Overall, this review paper underscores the transformative potential of IoT sensor-based frameworks in improving early detection, personalized care, and disease management for individuals living with Alzheimer's disease. © 2024 IEEE.

关键词： Diagnosis

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Research on Infrared Detection and Identification of Internal Defects in Pipeline Wall-Climbing Robot 3

Research on Infrared Detection and Identification of Interna...

引用

3rd international conference on Service robotics, ICoSR 2024

作者： Liang, Xinlong Wang, Binrui Zhou, Kun Wu, Shanqiang Chen, Xianlei College of Mechanical and Electrical Engineering China Jiliang University Hangzhou China Zhoushan Institute of Calibration and Testing for Quality and Technology Supervision Zhoushan China

ISBN: (纸本)9798350367119

This paper presents the design of an infrared detection system integrated into a wall-climbing robot, enabling autonomous detection of internal defects within pipelines. The system is based on lock-in thermography technology, which involves generating periodic excitation to capture a sequence of thermal images using an infrared thermal imager. Subsequent processing includes S-G filtering and FFT transformation to analyze differences in surface thermal radiation amplitude and phase, thereby detecting internal defects in the test object. The experiment explores the detection effectiveness of defects of various sizes and depths under different lock-in frequencies. The results indicate that lock-in thermography detection technology exhibits favorable capabilities in detecting internal defects within a certain range. © 2024 IEEE.

关键词： Locks (fasteners)

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Dual-Path Neural Networks Enabled Fetal ECG Extractions From Abdominal Electrohysterograpgy 2

Dual-Path Neural Networks Enabled Fetal ECG Extractions From...

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2nd international conference on Automation, robotics and Computer engineering, ICARCE 2023

作者： Lin, Yiwei Chen, Zhenqin Zheng, Kaixiao Ruan, Luyi Xu, Jinshan College of Computer Science Zhejiang University of Technology Hangzhou China

ISBN: (纸本)9798350308341

Fetal heart monitoring is crucial for the early detection of potential risks to fetal health conditions. However, the non-invasive fetal heart monitoring technology using maternal abdominal electrocardiography (AECG) is susceptible to interference from maternal electrocardiography (MECG) and multi-source noise. To address the above challenge, we propose a novel Dual-path Encoder-Decoder Model to extract fetal electrocardiography (FECG) signals from maternal abdominal recordings. It can effectively separate and remove MECG interference to obtain FECG. Additionally, a Feature Augmentation Module based on attention-guided is introduced to optimize the quality of the remaining features after MECG removal. Finally, the optimized features are fed into a decoder with external skip connections to reconstruct the FECG signal. Experimental results show that the proposed method achieves outstanding performance on two public datasets, providing an effective solution for fetal health monitoring and assisting physicians in diagnosing fetal abnormalities. © 2023 IEEE.

关键词： Electrocardiograms

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