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Asymptotic Trajectory Tracking of Stratospheric Airships Based on RISE Controllers Under External Uncertainties

IEEE Transactions on Aerospace and Electronic systems 2025年

作者： Liu, Can Li, Baoquan Dai, Fengzhi Shi, Wuxi Zhang, Xuebo Tiangong University School of Control Science and Engineering Tianjin Key Laboratory of Autonomous Intelligence Technology and Systems Tianjin300387 China Tianjin University of Science and Technology College of Electronic Information and Automation Tianjin300222 China Nankai University Institute of Robotics and Automatic Information Systems Tianjin Key Laboratory of Intelligent Robotics Tianjin300071 China

For a stratospheric airship under internal and external uncertainties, controller strategies with robust integral sign of the error (RISE) are proposed for asymptotic trajectory tracking control. Specifically, a fully connected neural network (FCNN) is constructed with adaptive weight updating to estimate internal uncertainties of the airship system. Then, a self-tuning RISE controller is designed to track trajectories with compensating external disturbance, which enables gain adjustment in realtime according to system feedback. Based on Lyapunov technique and LaSalle-Yoshizawa corollary extension, system stability is strictly analyzed, and asymptotic convergence performance is obtained for trajectory tracking by the designed controller. Moreover, a RISE controller is designed with fixed gain matrices for the airship based on classic control strategies, and asymptotic tracking is also proved. Finally, numerical simulations are conducted with spiral and hovering control to verify performance of the proposed strategies. © 1965-2011 IEEE.

关键词： Lyapunov methods

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航空发动机机匣修复用AlSi10Mg激光金属沉积:显微硬度、磨损和腐蚀行为

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表面工程与再制造 2024年第2期24卷 53-53页

作者： Enjie Dong Tingyu Chang Linjie Zhao Yunhao Xing Jiaxuan Chen Mingjun Chen Junwen Lu Jian Cheng State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin Heilongjiang 150001 China State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang University Hangzhou 310027 China Aircraft Repair & Overhaul Plant/Sichuan Province Engineering Technology Research Center of General Aircraft Maintenance Civil Aviation Flight University of China Guanghan 618307 China

基于激光金属沉积(Laser Metal Deposition,LMD)的再制造利用了增材制造的灵活性,为修复或再制造高价值工程零部件提供了一种极具吸引力和性价比的手段。本工作在航空发动机机匣用铸造铝合金板表面熔覆AlSi10Mg合金,当激光功率P=1800 W... 详细信息

基于激光金属沉积(Laser Metal Deposition,LMD)的再制造利用了增材制造的灵活性,为修复或再制造高价值工程零部件提供了一种极具吸引力和性价比的手段。本工作在航空发动机机匣用铸造铝合金板表面熔覆AlSi10Mg合金,当激光功率P=1800 W、送粉速率f=1.6 g/min、扫描速度v=8 mm/s时,获得了孔隙率仅为0.19%的AlSi10Mg修复层。

关键词：铸造铝合金增材制造送粉速率显微硬度激光金属沉积扫描速度激光功率修复层

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A Textile-Based Pneumatic Soft Suit for Elbow Joint Rehabilitation

A Textile-Based Pneumatic Soft Suit for Elbow Joint Rehabili...

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IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent systems

作者： Yan Shen Yu Dang Tianyu Jiang Weiguang Huo Ningbo Yu Jianda Han College of Artificial Intelligence Nankai University Tianjin China Engineering Research Center of Trusted Behavior Intelligence Ministry of Education Nankai University Tianjin China Tianjin Key Laboratory of Intelligent Robotics Nankai University Tianjin China Institute of Intelligence Technology and Robotic Systems Shenzhen Department of Rehabilitation Medicine The Second Medical Center Chinese PLA General Hospital Beijing China National Clinical Research Center for Geriatric Diseases Beijing China National Key Laboratory of Kidney Diseases Beijing China

ISBN: (数字)9798331506056

ISBN: (纸本)9798331506063

Stroke is a disease with a very high mortality rate, and most patients will experience upper limb dysfunction after the disease. Traditional solutions, commonly rigid exoskeletons, have been explored extensively but often fall short due to safety concerns, discomfort, and potential for skin damage owing to their hard attachment mechanisms. To overcome these limitations, this article proposes a textile pneumatic soft suit for elbow joint rehabilitation. This soft suit consists of a modular pneumatic actuator that can help patients with elbow joint flexion and extension rehabilitation training. The design principle is based on the deformation of the textile-based pneumatic bag. The actuator is made of flexible fabric sheets of woven nylon with thermoplastic polyurethane (TPU) coating and 3D printing technology. A mathematical model was developed to describe the relationship between flexion angle and cable length, which could guide the design of the actuator. Experimental validation involved both static and dynamic assessments, confirming the soft suit's capability to meet the requirements of torque and range of the motions. The actuator can provide a starting torque of 7.18 Nm under a pressure of 160 kPa. The suit can provide a range of flexion motion of over 100° for a 1650 g forearm. In the future, we will conduct modeling and further experimental verification of the robot system to complete its control.

关键词： Training Torque Stroke (medical condition) Three-dimensional printing Weaving Skin Safety Elbow Robots Diseases

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Myoelectric Prosthetic Hand with Adjustable Tightening Socket for Varied Residual Limb Shapes*

Myoelectric Prosthetic Hand with Adjustable Tightening Socke...

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IEEE International Conference on Cyborg and Bionic systems (CBS)

作者： Yuki Inoue Yuki Kuroda Yoshiko Yabuki Yusuke Yamanoi Xu Yong Xiaobei Jing Hiroshi Yokoi Department of Mechanical and Intelligent Engineering The University of Electro-Communications Chofu Tokyo JAPAN OMRON SINIC X Corporation Bunkyo-ku Tokyo JAPAN department of Electrical Engineering Faculty of Engineering Tokyo University of Science Katushika-ku Tokyo JAPAN CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced Technology (SIAT) Chinese Academy of Sciences (CAS) and the SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen CHINA Department of Mechanical and Intelligent Engineering Center for Neuroscience and Biomedical Engineering The University of Electro-Communications Chofu Tokyo JAPAN Mu-BORG K.K. Chofu JAPAN

ISBN: (数字)9798350388039

ISBN: (纸本)9798350388046

The prosthetic socket serves as an interface between the body and the machine. If the socket is not well-fitted to the residual limb, pain can occur. The shape of the residual limb changes over time as surgical scars stabilize or the patient’s body weight fluctuates. A socket with a cutout on the side can be tightened from the outside to adjust its circumference and accommodate these changes. However, when the circumference of the rigid socket is adjusted to fit, soft skin can become trapped due to friction between the skin and the socket. This phenomenon causes pain due to pinching. Consequently, this mechanism cannot be used for myoelectric prosthetic hands, where direct contact between the socket and the skin is necessary. In this study, we developed a socket with a variable circumference that suppresses skin pinching. We applied it to participants with different residual limb shapes. A Box and Block Test (BBT) was performed using two types of sockets. The first used a conventional socket designed to fit their residual limb shape. The second used the proposed socket, which was designed to fit the residual limb’s shape of one out of two participants and adapted to the residual limb’s changing shape. The results of the BBT showed not much difference in the number of blocks moved between the conventional socket and the proposed socket. Therefore, the performance of the proposed socket was comparable to that of conventional sockets and could be applied to different residual limbs. In other words, the proposed socket was shown to adapt to changes in the residual limb without causing pain. Sockets with the proposed functionality could be used in a variety of bio-interfaces, allowing for flexible connections between the body and machines.

关键词： Limbs Shape Pain Sockets Human-machine systems Friction Surgery Skin Interviews Prosthetic hand

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Hybrid acoustic-optical underwater communication networks for next-generation cooperative systems: the EUMR experience

Hybrid acoustic-optical underwater communication networks fo...

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OCEANS

作者： João Quintas Roberto Petroccia António Pascoal João Cruz Pedro Gois Luca Morlando Marin Stipanov Laboratory of Robotics and Systems in Engineering and Science (LARSyS) ISR/IST University of Lisbon Lisbon Portugal NATO STO Centre for Maritime Research and Experimentation La Spezia Italy

ISBN: (纸本)9781665427883

The past decade has witnessed a flourishing of different physical communication technologies for underwater wireless transmissions systems. Fast paced advances in optical, radio-frequency, or magneto-inductive signals technologies have ushered in a new era of multi-modal communication systems. In a nutshell, the majority of the systems seek to combine the short-range, high-bit rate of the new wave of technologies with the long-range, low-bit rate of the by now de facto acoustic communications solutions. This increasing flexibility opens a new realm of operations and solutions for underwater robotic vehicles working in cooperation. In this paper, we propose a new hybrid acoustic-optical under-water communication network for next-generation cooperative systems. We endeavor to describe its development in the scope of the EU Marine Robots Network project by a team, composed by the NATO STO Centre for Maritime Research and Experi-mentation (CMRE) and the Instituto Superior Tecnico of Lisbon (IST). In particular: the integration of the CMRE Cognitive-Communication Architecture (CCA) with the BlueRay optical modem of IST and its installation in marine robotic vehicles of the Medusa class. laboratory and in-water tests using the Medusa stack and the Medusa class vehicles showcase the potentiality of the proposed network in future cooperative underwater missions.

关键词： Wireless communication Symbiosis Underwater communication Robot kinematics Cooperative systems Modems Acoustics

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A continuous-time approach for 3D radar-to-camera extrinsic calibration

arXiv

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arXiv 2021年

作者： Wise, Emmett Peršić, Juraj Grebe, Christopher Petrović, Ivan Kelly, Jonathan Laboratory The University of Toronto Institute for Aerospace Studies Toronto Canada The Laboratory for Autonomous Systems and Mobile Robotics University of Zagreb Faculty of Electrical Engineering and Computing Croatia Croatia Vector Institute Faculty Affiliate

Reliable operation in inclement weather is essential to the deployment of safe autonomous vehicles (AVs). Robustness and reliability can be achieved by fusing data from the standard AV sensor suite (i.e., lidars, cameras) with weather robust sensors, such as millimetre-wavelength radar. Critically, accurate sensor data fusion requires knowledge of the rigid-body transform between sensor pairs, which can be determined through the process of extrinsic calibration. A number of extrinsic calibration algorithms have been designed for 2D (planar) radar sensors-however, recently-developed, low-cost 3D millimetre-wavelength radars are set to displace their 2D counterparts in many applications. In this paper, we present a continuous-time 3D radar-to-camera extrinsic calibration algorithm that utilizes radar velocity measurements and, unlike the majority of existing techniques, does not require specialized radar retroreflectors to be present in the environment. We derive the observability properties of our formulation and demonstrate the efficacy of our algorithm through synthetic and real-world experiments. Copyright © 2021, The Authors. All rights reserved.

关键词： Cameras

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Angel's girl for blind painters: An efficient painting navigation system validated by multimodal evaluation approach

arXiv

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arXiv 2021年

作者： Liu, Hang Hu, Menghan Chen, Yuzhen Li, Qingli Zhai, Guangtao Yang, Simon X. Zhang, Xiao-Ping Yang, Xiaokang The Shanghai Key Laboratory of Multidimensional Information Processing East China Normal University The Key Laboratory of Articial Intelligence Ministry of Education The Advanced Robotics and Intelligent Systems Laboratory School of Engineering University of Guelph The Department of Electrical Computer and Biomedical Engineering Ryerson University

For people who ardently love painting but unfortunately have visual impairments, holding a paintbrush to create a work is a very difficult task. People in this special group are eager to pick up the paintbrush, like Leonardo da Vinci, to create and make full use of their own talents. Therefore, to maximally bridge this gap, we propose a painting navigation system to assist blind people in painting and artistic creation. The proposed system is composed of cognitive system and guidance system. The system adopts drawing board positioning based on QR code, brush navigation based on target detection and bush real-time positioning. Meanwhile, this paper uses human-computer interaction on the basis of voice and a simple but efficient position information coding rule. In addition, we design a criterion to efficiently judge whether the brush reaches the target or not. According to the experimental results, the thermal curves extracted from the faces of testers show that it is relatively well accepted by blindfolded and even blind testers. With the prompt frequency of 1s, the painting navigation system performs best with the completion degree of 89% ± 8.37% and overflow degree of 347% ± 162.14%. Meanwhile, the excellent and good types of brush tip trajectory account for 74%, and the relative movement distance is 4.21 ± 2.51. This work demonstrates that it is practicable for the blind people to feel the world through the brush in their hands. In the future, we plan to deploy "Angle's Eyes" on the phone to make it more portable. The demo video of the proposed painting navigation system is available at: https://***/10.6084/***.9760004.v1. © 2021, CC BY.

关键词： Cognitive systems

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A Sample Efficiency Improved Method via Hierarchical Reinforcement Learning Networks

A Sample Efficiency Improved Method via Hierarchical Reinfor...

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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： Qinghua Chen Evan Dallas Pourya Shahverdi Jessica Korneder Osamah A. Rawashdeh Wing-Yue Geoffrey Louie Intelligent Robotics Laboratory Oakland University MI USA College of Electrical and Information Engineering Zhengzhou University of Light Industry Henan China Applied Behavior Analysis Clinic Oakland University MI USA Embedded Systems Research Lab Oakland University MI USA

ISBN: (数字)9781728188591

ISBN: (纸本)9781665406802

Learning from demonstration (LfD) approaches have garnered significant interest for teaching social robots a variety of tasks in healthcare, educational, and service domains after they have been deployed. These LfD approaches often require a significant number of demonstrations for a robot to learn a performant model from task demonstrations. However, requiring non-experts to provide numerous demonstrations for a social robot to learn a task is impractical in real-world applications. In this paper, we propose a method to improve the sample efficiency of existing learning from demonstration approaches via data augmentation, dynamic experience replay sizes, and hierarchical Deep Q-Networks (DQN). After validating our methods on two different datasets, results suggest that our proposed hierarchical DQN is effective for improving sample efficiency when learning tasks from demonstration. In the future, such a sample-efficient approach has the potential to improve our ability to apply LfD approaches for social robots to learn tasks in domains where demonstration data is limited, sparse, and imbalanced.

关键词： Social robots Education Reinforcement learning Medical services Task analysis

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A novel soft exosuit based on biomechanical analysis for assisting lower extremity 22

A novel soft exosuit based on biomechanical analysis for ass...

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22nd IEEE International Conference on E-Health Networking, Application and Services, HEALTHCOM 2020

作者： Liu, Youfu Chen, Chunjie Lu, Jun Liu, Yida Zhang, Yu Wang, Zhuo College of Mechanical and Electrical Engineering Shaanxi University of Science and Technology Shenzhen China ShenZhen College of Advanced Technology University of Chinese Academy of Sciences Shenzhen China Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Shenzhen China Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen China

ISBN: (纸本)9781728162676

In the past two decades, with growing focus of lower limb exoskeleton, large variety of rigid exoskeletons were designed for medical rehabilitation and the other purposes. Compared with the rigid exoskeletons, which added extra inertial to low limb and restricted wearers' movement, the soft wearable lower extremity exoskeleton minimized the impact of these factors on the human body locomotion. In this paper, a novel design of exosuit that provided assistive force for both hip extension and flexion through the variation in hip joint dynamics during strides was proposed. Based on the change of hip moment, an assistance strategy and assistance force curve were came up with. PD type iterative learning control (ILC) method was introduced to reduce the error caused by wearing position and biological characteristics to improve assistance performance. To evaluate assistance performance, the metabolic cost of four subjects wearing exosuit and walking on treadmill at 5km/h in the situations of that without assistance, assisting both hip extension and hip flexion, and assisting hip extension respectively was measured. Compared with assisting hip extension only and wearing exosuit with no assistance, results indicated that the decrease in average net metabolic cost of assisting both hip extension and flexion was 0.445W/kg and 1.027W/kg respectively, corresponding to the average net metabolic cost rate decrease was 7.45% and 15.67%. © 2021 IEEE.

关键词： Exoskeleton (robotics)

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Development of a magnetoelectric neural stimulator for in vitro experiments

Development of a magnetoelectric neural stimulator for in vi...

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IEEE Biomedical Circuits and systems (BIOCAS)

作者： Stratis Matsoukis Joana Covelo Maria V. Sanchez-Vives Andrea Veciana Donghoon Kim Xiang-Zhong Chen Salvador Pané Hidelberto Macedo-Zamudio Ulrike Wallrabe Ren Xu Guenter Edlinger Josef Scharinger G.tec Medical Engineering GmbH Austria Institute for Computational Perception Johannes Kepler University Linz Austria Institut D'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) Barcelona Spain Institució Catalana de Recerca i Estudis Avançats (ICREA) Barcelona Spain Multi-Scale Robotics Lab (MSRL) Institute of Robotics and Intelligent Systems (IRIS) ETH Zurich Zurich Switzerland Laboratory for Microactuators IMTEK Albert-Ludwigs-Universität Freiburg Freiburg Germany

Magnetoelectric (ME) materials hold the potential for wireless and minimally invasive brain stimulation with high spatial precision. However, comprehensive integration of ME materials in neurophysiology experiments remains an open challenge. In this study, we present the development of a ME stimulator prototype for in vitro brain stimulation, specifically tested with BiFeO 3 -CoFe 2 O 4 (BFO-CFO) nanoparticles. Our approach entails the design and implementation of a ME stimulator, which seamlessly integrates with existing electrophysiology setups while supporting a wide range of frequencies. To optimize the stimulator's design and evaluate its performance, we conducted modeling and simulations, bench tests, and in vitro experiments using cortical slices. The proposed ME stimulator offers neuroscientists a reliable and versatile tool to advance their understanding of brain function and potentially enhance the treatment of neurological disorders.

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