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检索条件"任意字段=International Conference on Robotics and Automation for Humanitarian Applications"

共 5706 条记录，以下是91-100 订阅

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Understanding Properties of DriveBay Electromagnetic Tracker for Use in Soft Robot Experiments 28th

Understanding Properties of DriveBay Electromagnetic Tracker...

引用

2024 international conference automation

作者： Smaz, Tomasz Zubrycki, Igor Lodz Univ Technol Inst Automat Control Stefanowskiego 18 PL-90537 Lodz Poland

ISBN: (纸本)9783031782657;9783031782664

Soft robotics experiments necessitate advanced measurement techniques to track robot pose and deformations accurately. Electromagnetic tracking systems provide substantial benefits over vision-based systems, especially in capturing both the position and orientation of a robot's surface without occlusion issues. However, these systems are typically designed for applications in controlled environments, with multiple guidelines stated by the producers, necessitating an evaluation of their effectiveness in different contexts. This paper presents a series of foundational experiments to assess the capabilities and limitations of such a system in Soft robotics. We investigate the impact of distance from the base station, resistance to environmental interference, effects of metallic elements, and the accuracy of rotational measurements. The results demonstrate a significant influence of positional accuracy relative to the distance from the transmitter, with a tenfold decrease in accuracy observed. Additionally, the presence of metallic objects in close proximity (less than 20mm) to the probes adversely affects accuracy, as do large metallic elements such as construction materials. This effect is particularly pronounced when the sampling frequency of the system aligns with multiples of the electrical network frequency, resulting in more than a tenfold reduction in accuracy.

关键词： Soft robotics Electromagnetic Tracking Sensor Accuracy robotics Measurement Systems Environmental Interference in robotics

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Research Progress and Application of Multifunctional Piezoelectric Hydrogels 14

Research Progress and Application of Multifunctional Piezoel...

引用

14th IEEE international conference on Cyber Technology in automation, Control, and Intelligent Systems, CYBER 2024

作者： Guo, Jiaduo Zhang, Qi Gai, Dongze Yang, Lianchao Liang, Wenfeng Zhang, Chuang School of Mechanical Engineering Shenyang Jianzhu University Shenyang110168 China Shenyang Institute of Automation Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China University of Chinese Academy of Sciences Beijing100049 China School of Computer Science and Engineering Shenyang Jianzhu University Shenyang110168 China

ISBN: (纸本)9798331506056

Piezoelectric hydrogels are unique materials endowed with piezoelectric properties, rendering them highly versatile for various applications. Characterized by excellent flexibility, biocompatibility, adjustability, rapid response capability, heightened sensitivity, and environmental adaptability, it exhibits a remarkable ability to convert mechanical energy into electrical energy and vice versa when subjected to external forces. This distinctive feature makes it an ideal candidate for integration into bio-syncretic robots. Despite its potential, the literature primarily focuses on singular applications of piezoelectric hydrogels, neglecting their broader scope. Therefore, this review aims to systematically introduce and classify piezoelectric hydrogels, while comprehensively exploring their diverse applications in sensing, energy conversion, and biomedicine within the realm of bio-syncretic robotics. Furthermore, this paper sheds light on the current limitations of piezoelectric hydrogels and proposes avenues for their future development, thereby offering valuable insights into advancing this promising field. © 2024 IEEE.

关键词： Piezoelectricity

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Development of System-on-Chip for automation and robotics in Fault Tolerant applications 8

Development of System-on-Chip for Automation and Robotics in...

引用

8th IEEE international conference on Computational System and Information Technology for Sustainable Solutions, CSITSS 2024

作者： Padmapriya, K. Anilkumar, Rahul Varaprasad, B.K.S.V.L. Gupta, Sukrat Mallik, Debjyoti Kishore, J. Krishna U. R. Rao Satellite Centre Indian Space Research Organization Bengaluru India Dayananda Sagar College Of Engineering Bengaluru India Vikram Sarabhai Space Centre Indian Space Research Organization Thiruvananthapuram India Ministry of Electronics and Information Technology Semi-Conductor Laboratory Mohali India

ISBN: (纸本)9798331505462

Technology advances in electronics miniaturization has given a huge performance boost to fault tolerant applications like spacecrafts. automation of activities and robotic capabilities are an upcoming major requirement in many such applications, allowing them to work economically while providing a versatile suite of reliable services. To provide the necessary computational complexity in a miniaturized scale, System-on-Chips (SoCs) are the most suitable solution. There are numerous challenges in economically developing SoCs for fault tolerant applications owing to their strict constraints and utmost focus on reliability. This paper brings out the challenges in developing an SoC for automation and robotics suitable for fault tolerant applications, and approaches adopted to overcome them towards successful realization of the device. The device is fabricated in SCL's 180nm CMOS technology and passed all functional and parametric tests. © 2024 IEEE.

关键词： System-on-chip

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Humans Need Augmented Feedback to Physically Track Non-Biological Robot Movements

Humans Need Augmented Feedback to Physically Track Non-Biolo...

引用

IEEE international conference on robotics and automation (ICRA)

作者： Edraki, Mahdiar Maurice, Pauline Sternad, Dagmar Northeastern Univ Dept Mech & Ind Engn Boston MA 02115 USA Univ Lorraine CNRS INRIA LORIA F-54000 Nancy France Northeastern Univ Dept Biol Inst Experiential Robot Boston MA 02115 USA Northeastern Univ Dept Elect & Comp Engn Inst Experiential Robot Boston MA 02115 USA

ISBN: (纸本)9798350323658

An important component for the effective collaboration of humans with robots is the compatibility of their movements, especially when humans physically collaborate with a robot partner. Following previous findings that humans interact more seamlessly with a robot that moves with human-like or biological velocity profiles, this study examined whether humans can adapt to a robot that violates human signatures. The specific focus was on the role of extensive practice and real-time augmented feedback. Six groups of participants physically tracked a robot tracing an ellipse with profiles where velocity scaled with the curvature of the path in biological and non-biological ways, while instructed to minimize the interaction force with the robot. Three of the 6 groups received real-time visual feedback about their force error. Results showed that with 3 daily practice sessions, when given feedback about their force errors, humans could decrease their interaction forces when the robot's trajectory violated human-like velocity patterns. Conversely, when augmented feedback was not provided, there were no improvements despite this extensive practice. The biological profile showed no improvements, even with feedback, indicating that the (non-zero) force had already reached a floor level. These findings highlight the importance of biological robot trajectories and augmented feedback to guide humans to adapt to non-biological movements in physical human-robot interaction. These results have implications on various fields of robotics, such as surgical applications and collaborative robots for industry.

关键词： Physical Human-Robot Interaction Human Factors and Human-in-the-Loop Human-Centered robotics

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Deep Learning-Based Weed Detection for Precision Agriculture applications 6

Deep Learning-Based Weed Detection for Precision Agriculture...

引用

6th international conference on robotics and automation in Industry, ICRAI 2024

作者： Ahmed, Saaim Ali, Muhammad Waris Arshad, Muhammad Ali Khan, Shahbaz ARL National University of Sciences and Technology Aerial Robotics Lab Department of Mechanical Engineering Islamabad Pakistan ARL National University of Sciences and Technology Aerial Robotics Lab Department of Robotics and AI Islamabad Pakistan

ISBN: (纸本)9798350355703

Weed detection and management is an intricate and formidable challenge, affecting the efficiency of human agricultural practices. Object detection has merged as a key technique in precision-based agriculture for combatting this issue. This paper analyzes the performance of two cutting-edge object detection models namely YOLOv8x and Faster RCNN on a specialized weed-detection dataset. By leveraging transfer learning, these models proved computationally feasible and accurate. The models were built and trained in a Kaggle environment, promoting a more collaborative approach to developing and implementing deep-learning models. The Faster RCNN model showcased a comparatively better mAP as compared to the YOLOv8x model. This paper highlights the significance of advanced models like Faster RCNN and YOLOv8x for precision agriculture while advocating for further research in deep-learning techniques for promoting resource-efficient agricultural and farming practices. © 2024 IEEE.

关键词： Deep reinforcement learning

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An FPGA-based Convolutional Neural Network Accelerator for Edge Computing 9

An FPGA-based Convolutional Neural Network Accelerator for E...

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9th international conference on robotics and automation Engineering, ICRAE 2024

作者： Li, Tengfei Gu, Shenshen Shanghai University School of Mechatronic Engineering and Automation Shanghai China

ISBN: (纸本)9798331518301

Convolutional Neural Networks (CNNs) are a powerful tool in computer vision, excelling at tasks like image classification and object detection. The need for low latency and strict power consumption in real-world applications during forward inference makes deploying neural networks on resource-constrained hardware challenging. This paper tackles deployment challenges by proposing Quantization-Aware Filter Pruning (QAFP), significantly reducing model size with minimal accuracy loss. Leveraging the strengths of convolutional computations, parameters are stored in blocks and optimized loop circuits are designed to maximize resource utilization on hardware. This work proposes an FPGA-based CNN accelerator that significantly improves the speed and power efficiency of CNN inference compared to traditional processors. The accelerator was evaluated on a ZYNQ XC7Z020 platform utilizing a compressed VGG16 model for validation. Notably, the compressed model achieved a high accuracy of 93.5 % while reducing the single-inference fixed-point operation count to 3.1 G (from original VGG16) and the parameter count to 1.1 M. This results in an impressive effective computing performance of 41 Giga Operations Per Second (GOP/s) while maintaining low power consumption at just 1.1 W, making it highly suitable for resource-constrained applications. © 2024 IEEE.

关键词： Convolutional neural networks

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Impact of robotics and automation on the Workforce and Society: A Literature Review 12th

Impact of Robotics and Automation on the Workforce and Socie...

引用

12th international conference on Frontiers of Intelligent Computing: Theory and applications, FICTA 2024

作者： Dumlao, Gerald O. Esguerra, Eubert Andrei Factor, Emjay B. Santiago, Cereneo S. Magtibay, Ferdinand D. Cavite State University—Silang Campus Cavite Silang Philippines

ISBN: (纸本)9789819601424

This literature review delves into the implications of robotics and automation on the workforce and society. The discussion revolves around the potential for these advanced technologies. The researchers screened 20 articles to determine changes and consequences from the published articles between 2020 and 2024. The results demonstrate an interaction between heightened efficiency and the possible displacement of jobs, highlighting the need for proactive measures and careful consideration. However, amidst these concerns, there is an acknowledgment of the positive outlook, with the emergence of new employment opportunities and avenues for skills development. Yet, it also recognizes the unequal impact of changes across different industries and regions. Careful planning and strategic policies are essential for an equitable future where all individuals can benefit from technological advancements. Thus, it emphasizes the need for a balanced approach to harnessing the potential benefits while mitigating the challenges posed by automation and robotics. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Artificial intelligence (AI) automation robotics Society Workforce

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On Finite-Time Average Consensus for Three-Agent System

On Finite-Time Average Consensus for Three-Agent System

引用

2024 international Russian automation conference, RusAutoCon 2024

作者： Galkina, Daria Zhdanov, Victor Itmo University Faculty of Control Systems and Robotics St. Petersburg Russia

This paper addresses the problem of finite-time average consensus design for a system of three agents. Although this issue has been previously resolved for arbitrary order, this study offers new estimates for settling time. The primary objective is to evaluate the applicability of the proposed approach for more complex scenarios, including an arbitrary number of agents and agents with higher-order dynamics. By providing new insights and estimates, this research aims to enhance the understanding and implementation of finite-time average consensus protocols, potentially leading to more efficient and effective strategies in multi-agent systems across various applications, such as robotics, networked control systems, cooperative control and observer design. © 2024 IEEE.

关键词： Networked control systems

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Distributed Deep Learning for Real-World Implicit Mapping in Multi-Robot Systems 24

Distributed Deep Learning for Real-World Implicit Mapping in...

引用

24th international conference on Control, automation and Systems

作者： Jeong, Eunju Gwak, Jihun Kim, Taeho Kang, Dong-oh Elect & Telecommun Res Inst Daejeon 34129 South Korea BnTSoft Co Daejeon 34129 South Korea

ISBN: (纸本)9798331517939;9788993215380

Using a distributed learning framework and 2D LiDAR data, this paper presents a novel approach for distributed navigation and environmental mapping. Each robot collects distance data in real time to create a local map, which is then shared and integrated among the robots through wireless communication. The framework uses DiNNO (Distributed Neural Network Optimization) for distributed learning to collaboratively optimize navigation paths and improve mapping accuracy. DiNNO effectively balances computational load and communication overhead while providing superior accuracy and efficiency compared to other algorithms. Continuous data collection and real-time map updates ensure adaptability to dynamic environments. Experimental results demonstrate the effectiveness of the system and highlight its potential for a variety of autonomous navigation and mapping applications. This approach, as enhanced by DiNNO, offers significant advantages in terms of communication efficiency and mapping accuracy, thus providing a robust solution for dynamic and complex environments.

关键词： Distributed Learning Neural Network Optimization Implicit Mapping Multi-Robot Systems Real-World robotics

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Aggressive Linear Setpoint Regulators for the Speed Control of Industrial DC Motors 8

Aggressive Linear Setpoint Regulators for the Speed Control ...

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8th international conference on automation, robotics and applications (ICARA)

作者： Dritsas, Leonidas ASPETE Elect & Elect Engn Educators Dept Athens Greece

ISBN: (纸本)9781665483834

The objectives of our research is twofold. First we present a generic LMI-based H-infinity control design framework with various degrees of aggressiveness for robust setpoint regulation of linear systems with time varying disturbances. The proposed method incorporates ideas from the H-infinity mixed-sensitivity design expressed solely in state-space. The design procedure is a multiobjective optimization problem which, if feasible, guarantees stability, robust setpoint regulation, disturbance attenuation, norm-2 gain minimization and performance with various degrees of aggressiveness. The proposed methodology is applied to an industrial 37kW DC Motor demonstrating the efficacy of the proposed methodology.

关键词： Control automation and Control Systems Electrical Machines

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