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检索条件"机构=Center of Robotics and Automation"

共 1682 条记录，以下是1-10 订阅

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Active Search and Relocalization Framework for Position-Lost Recovery Under Limited Number of AMRs

Active Search and Relocalization Framework for Position-Lost...

引用

2024 IEEE/SICE International Symposium on System Integration, SII 2024

作者： Hisatsugu, Hiroki Hashizume, Jiro Center for Sustainability Hitachi Ltd. Connective Automation Innovation Center Robotics Research Department Japan

ISBN: (纸本)9798350312072

Autonomous mobile robots are required to operate continuously in uncertain environments without human intervention. Addressing the self-localization failure problem, this paper proposes an efficient re-localization method for multiple autonomous mobile robot systems that utilizes lost-robot searching actions by surrounding robots, based on a rough estimation of the lost-robot's positional area. This approach ensures swift re-localization through active movements, effectively countering occlusion challenges inherent to cooperative localization. The system implemented functions for lost detection, searching, relative position recognition and information sharing. Real-world experiments in a 5 x 6 m indoor environment demonstrate the effectiveness of our approach. Re-localization is successfully achieved within 0.5 m of localization error in all 20 tests in an environment of occlusion between two robots. © 2024 IEEE.

关键词： Navigation

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Trash Detection in Water Bodies Using Yolo With Explainable AI Insight 6

Trash Detection in Water Bodies Using Yolo With Explainable ...

引用

6th International Conference on robotics and automation in Industry, ICRAI 2024

作者： Rasheed, Shafaq Mirza, Amal Saeed, Muhammad Saad Yousaf, Muhammad Haroon University of Engineering and Technology Department of Computer Engineering Taxila Pakistan National Center of Robotics and Automation Swarm Robotics Lab Taxila Pakistan

ISBN: (纸本)9798350355703

Waste disposal into water bodies is a serious concern for environmental engineers, often resulting in urban flooding, soil degradation in agricultural areas, and freshwater pollution. Additionally, trash accumulation in water bodies threatens ma-rine life by introducing contaminants through storm drains, rivers, and other channels. Furthermore, the unique character-istics of underwater environments, including high noise levels, low visibility, and color variation, pose challenges for trash detection. Thus, addressing this issue is crucial for environmental sustainability. The work focuses on both floating and submerged trash in water bodies. Typically, the detection of trash on water bodies is impacted by environmental variability, diverse appearance, and background clutter. These conditions also make usual object detection techniques less effective. Deep learning methods have shown promise in handling challenging visual tasks, therefore researchers have turned to them to get over these challenges. In this work, we focus on applying different versions of YOLO to the problem of water trash detection. To assess these models' performance, we use four different datasets: Trash Flow rate Dataset, DeepTrash, FloW, and TrashICRA. Each dataset represents various trash types under different conditions such as underwater trash and floating trash. Our study attempts to identify the best method suitable for the detection of aquatic waste. Our results highlight the effectiveness of YOLO variants in identifying the presence of trash in water ecosystems. By leveraging Grad-CAM we gain insights into the interpretability and transparency of deep learning models thus enabling Explainable AI. This approach will also contribute to the understanding and trustworthiness of artificial systems deployed for trash detection applications by providing a transparent view of decision making process of deep learning models. © 2024 IEEE.

关键词： Storm sewers

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Effect of Tine Shaped Furrow Opener on Dry Soil Using Discrete Element Modelling

Effect of Tine Shaped Furrow Opener on Dry Soil Using Discre...

引用

2023 International Conference on robotics and automation in Industry, ICRAI 2023

作者： Mohiz, Abdul Nasir, Fazal E. Shah, Kamran University of Engineering & Technology Department of Mechatronics Engineering Peshawar Pakistan Advanced Robotics & Automation Lab National Center of Robotics & Automation Peshawar Pakistan

ISBN: (纸本)9781665464727

Tillage of the soil is the most important consideration when it comes to the implementation of agricultural practices. Increases in crop yield has been achieved through a variety of agricultural practices thanks to the discoveries of various agricultural experts. The planting process is the one that has the greatest impact on the crop's overall health. The hull can be more precisely prepared for the seed-planting trench with the assistance of furrows. A variety of furrow openers are currently undergoing the implantation process. Studying dynamic systems that are discontinuous in nature can be done with the help of discrete element modelling. The simulation of a tine-shaped furrow opener using the EDEM package software was carried out for three different speeds. When the speed of an object increases, so does the force it exerts on it. Additionally, the length of an object has an effect on the force it exerts. Additionally, taken into consideration were the profiles that were generated in the soil. To carry out statistical validation of the results analysis of variation (ANOVA) was done. The results provided a basis for calculating a confidence level of 95%. For the furrow openers, it was suggested that a speed of 0.495 meters per second, which is equivalent to 1.76 kilometers per hour, be used. © 2023 IEEE.

关键词： Tillage

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Gaze Betray You: Abnormal Attention Detection from Human-Robot Interaction Dynamics

Gaze Betray You: Abnormal Attention Detection from Human-Rob...

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2024 IEEE International Conference on robotics and Biomimetics, ROBIO 2024

作者： Mu, Fengjun Zhang, Jingting Zou, Chaobin Huang, Zonghai Huang, Rui Cheng, Hong School of Automation Engineering University of Electronic Science and Technology of China Center for Robotics Chengdu China

ISBN: (纸本)9781665481090

Monitoring abnormal attention has a wide range of applications in Human-Robot Interaction systems, such as autonomous driving, virtual reality, and remote operation. Due to factors like fatigue, drowsiness, and distraction, human attention can deviate from tasks that require focus, resulting in abnormal attention during interactions. Monitoring for abnormal attention is essential to ensure the safety of human-robot interactions. However, existing methods often rely on un-explainable algorithms such as neural networks, making them difficult to trust in scenarios like autonomous driving, where explicit decision-making processes and mechanisms are required. This paper presents EyeAAD, an abnormal attention detection method based on dynamic system theory. This method uses gaze signals from a serious game designed to simulate human-robot interaction. We developed several attention-related features for interpretable modeling using a deterministic learning method. By analyzing the matching relationship between the gaze signal and the predicted status from the learned dynamic models, we can detect abnormal human attention patterns. To validate our approach, we designed a serious game for eye movement data acquisition in human-robot interaction. Our analysis showed that EyeAAD enables efficient, real-time monitoring of human attention. © 2024 IEEE.

关键词： Serious games

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Design and Implementation of Model Predictive Control (MPC) Based Pressure Regulation System for a Precision Agricultural Sprayer

Design and Implementation of Model Predictive Control (MPC) ...

引用

2023 International Conference on robotics and automation in Industry, ICRAI 2023

作者： Khan, Adrees Nasir, Fazal Tufail, Muhammad Haris, Muhammad Khan, Muhammad Tahir Dong, Zhang University of Engineering and Technology Department of Mechatronics Engineering Peshawar Pakistan Advanced Robotics and Automation Lab National Center of Robotics and Automation Peshawar Pakistan Jinan China

ISBN: (纸本)9781665464727

Model Predictive Control (MPC) is a control scheme that involves predicting the future behavior of a system and optimizing control actions to accomplish the desired objective. In this study, we develop an intelligent control algorithm, based on MPC to regulate the target pressure in variable-rate agriculture sprayer robots. Modeling and simulation steps of the spraying system are developed using MATLAB/Simulink environment, before passing to the description of the MPC algorithm. Real-time implementation of the MPC algorithm was conducted on an Arduino Mega 2560 controller board by using Simulink Support Package for Arduino Hardware in MATLAB/Simulink to experimentally validate the preliminary results of simulations. The work evaluates MPC to regulate the pressure in the system and compares the results with a traditional PID control system. Moreover, MPC is a novel method for nonlinear system control that achieves zero steady-state error, low transient response, and reduces peak overshoot compared to the results obtained with a PID controller, thereby reducing the waste of chemicals, and minimizing the toxicology and environmental risk. © 2023 IEEE.

关键词： Model predictive control

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Real-Time Plant Recognition and Crop Row Navigation for Autonomous Precision Agricultural Sprayer Robot

Real-Time Plant Recognition and Crop Row Navigation for Auto...

引用

2023 International Conference on robotics and automation in Industry, ICRAI 2023

作者： Nasir, Fazal Haris, Muhammad Khan, Bilawal Tufail, Muhammad Khan, Muhammad Tahir Dong, Zhang National Center of Robotics and Automation Advanced Robotics and Automation Lab Peshawar Pakistan University of Engineering and Technology Department of Mechatronics Engineering Peshawar Pakistan Jinan China

ISBN: (纸本)9781665464727

This paper presents a vision-based selective spraying technique for an autonomous agricultural sprayer robot. In traditional methods, excessive chemical spraying cause deleterious effects on human health, environment and becomes uneconomical. In order to reduce the agrochemical wastage encounters in a broadcast spraying, a selective plant spraying method is used for crop chemical treatment. The sensor-based approach assisted with YOLOv7 model is deployed on a custom designed robot for recognizing and localizing the lettuce plants in field. The PID-based pressure controller is designed that minimizes the undesirable fluctuations cause by the opening/closing of solenoid-valve-nozzles (SVNs) during spraying. Thus the nozzle's spraying quality is maintained by keeping the pressure constant to a desired value. A visual servoing scheme for row tracking is presented that uses the detected plant's spatial features. The robustness of the visual-based navigation is validated in the real field experiments. © 2023 IEEE.

关键词： Crops

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A Robotic Skin Using Low-density FBGs for Human-robot Interaction

A Robotic Skin Using Low-density FBGs for Human-robot Intera...

引用

2024 IEEE International Conference on robotics and Biomimetics, ROBIO 2024

作者： Dong, Xiyue Lam, Chin-Kiu Chen, Wei Yang, Bohan Liu, Yun-Hui Hong Kong Center for Logistics Robotics Hong Kong The Chinese University of Hong Kong T Stone Robotics Institute Department of Mechanical and Automation Engineering Hong Kong

ISBN: (纸本)9781665481090

In collaborative robotic arms, tactile sensing is crucial for enhancing interaction accuracy and safety. Robotic skins play an vital role in tactile sensing by mimicking the human sense of touch, enabling robots to detect and respond to physical interactions. Fiber Bragg gratings (FBGs), with their high sensitivity, environmental adaptability, and real-time response are increasingly adopted in the design of robotic skin systems. However, current FBG-based research has not resolved the issue of the high-density FBG usage and the large number of optical fibers required, limiting their widespread application in practical scenarios. In this work, we present a design of a soft robotic skin with efficient use of FBGs to estimate the location and magnitude of external forces. Our prototype features a cylindrical shape with a total area of 720 cm2 and incorporates one optical fiber with 16 evenly spaced FBGs. We optimized the structure through finite element analysis (FEA) and designed experiments to characterize its properties. Using data-driven methods, we achieved root mean square errors (RMSEs) of 4.29 mm and 4.05 degrees in estimating locations along the axial and radial directions, respectively, and 0.17 N for force magnitude. By achieving high sensitivity and an effective area per unit of 50 cm2, this approach shows promise for future applications in robotic skin. © 2024 IEEE.

关键词： Fiber Bragg gratings

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Tele-Operated Robotic Manipulator based Contactless Heartbeat Measurement Mechanism

Tele-Operated Robotic Manipulator based Contactless Heartbea...

引用

2023 International Conference on robotics and automation in Industry, ICRAI 2023

作者： Ali, Abdullah Haider Kazmi, Syed Murtazza Hassan Uddin, Riaz Haptics Human-Robotics and Condition Monitoring Lab National Center of Robotics and Automation NED University of Engineering and Technology Karachi Pakistan

ISBN: (纸本)9781665464727

Use of tele-operated robotic manipulators for performing various medical tasks have become significant due to concerns regarding the spread of contagious diseases. The area that we have specifically targeted in this paper is the frequently taken heartbeat measurements. The key to accurately measuring patient's heartbeat using a robotic manipulator is adjusting the stethoscope by exerting correct amount of force through the end-effector. In this paper, we have designed a setup using a 6-Degree of Freedom (DOF) tele-operated robotic arm coupled with a force sensor, buzzer and a stethoscope. The idea is that the robot embedded with force sensor will palpate the patient for heartbeat reading and that force signal will generate sound feedback for the doctor operating at master site. Signal from the force sensor helps to achieve appropriate exertion force and adjustment of stethoscope on patient's body so as to get accurate heartbeat waveform on doctor's mobile phone. For this, manual experiments are performed to establish baseline force range. Experiments are also performed using both pendant and haptic device at master end. As a result, Force-Time graph are obtained in all experimental configurations while the heartbeat is monitored using stethoscope's mobile application. Thus, a contactless heartbeat measurement is achieved. Results from the setup shows the validity of the proposed procedure. © 2023 IEEE.

关键词： End effectors

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Enhancing Dynamic Parameter Identification for Supernumerary Robotic Limbs through Uncertainty Compensation

Enhancing Dynamic Parameter Identification for Supernumerary...

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2024 China automation Congress, CAC 2024

作者： Chen, Lufeng Lan, Jingwen Zhan, Qi'ao Peng, Zhinan Li, Wenjiang Qiu, Jing Center for Robotics School of Automation Engineering University of Electronic Science and Technology of China Chengdu China Center for Robotics School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9798350368604

Accurate dynamic modeling is fundamental for wearable robotics, such as Supernumerary Robotic Limbs (SRLs), to ensure precise control and effective interaction with the environment. This paper presents an enhanced dynamic model for an SRL, incorporating uncertainty compensation to improve accuracy and robustness. The SRL dynamics are streamlined by linearizing the system and identifying a minimal set of inertia parameters. Using the Coot optimization algorithm, we refine the Fourier excitation trajectory parameters to optimize the condition number of the observation matrix, followed by parameter identification through the least squares method. To further reduce discrepancies between predicted and actual joint torques, an uncertainty term is introduced, validated through a neural network designed to predict torque variations. The method not only addresses but also compensates for uncertainties across various motion states of the SRL. Experimental results demonstrate that the proposed model improves prediction accuracy and robustness for our developed 6-DoF SRL compared to traditional methods. © 2024 IEEE.

关键词： Least squares approximations

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Health Monitoring and Power Quality Analysis of Induction Motors at Tube Well Sites of WASA Lahore 6

Health Monitoring and Power Quality Analysis of Induction Mo...

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6th International Conference on Energy Conservation and Efficiency, ICECE 2023

作者： Liaqat, Umair Sohaib, Muhammad Shaukat, Hamza Younis, Usman Hafiz, Rehan Tauqeer, Tauseef Information Technology University Faculty of Engineering Lahore Pakistan National Center of Robotics and Automation Industrial Monitoring and Automation Lab Pakistan

ISBN: (纸本)9798350332193

The purpose of this study is to analyze the health and power quality analysis of motors installed at different blocks of Johar Town Lahore installed by Water and Sanitation Authority (WASA) Lahore. Induction motors are the most important components of industries due to their cost-effectiveness, robustness and high efficiency. However, these motors are prone to some mechanical and electrical faults with time. Most of the faults are due to mismanagement of power and load variations. Usually, health monitoring and quality analysis of induction motors is laborious work. This study was conducted by keeping in mind the most widely used standards of the International Electro-technical Commission (IEC) and the Institute of Electrical and Electronics Engineer (IEEE). To enhance the effectiveness of the electrical systems, a detailed inspection and knowledge are needed for every power system. This technique involves taking measurements from motors in different states i.e. rest, transient and steady. The comparison of the results on different parameters with the help of graphical data is presented in this study for the safe and economical use of machines. The study covers only seven motors out of 596 installed motors at tube well sites in the city of Lahore covering almost 8 million people. There is no existing system to analyze the performance, efficiency and health of these motors. This study may be helpful in quality assurance and save from critical failure that tends to disturb the water supply system. It can also beneficial of saving the cost of repair and plant's down time. It may be recommended to analyze thoroughly the remaining tube well motors for the beneficial of WASA water supply system. © 2023 IEEE.

关键词： Induction motors

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