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第40届中国控制会议

作者： Canqi Yao Shibo Chen Zaiyue Yang School of Mechatronics Engineering Harbin Institute of Technology Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems Department of Mechanical and Energy Engineeringand the Guangdong Provincial Key Laboratory of Human-Augmentation and Rehabilitation Robotics in UniversitiesSouthern University of Science and Technology

To handle the detrimental effects brought by leakage of radioactive gases at nuclear power station, we propose a bus based evacuation optimization problem. The proposed model incorporates the following four constraints, 1) the maximum dose of radiation per evacuee, 2) the limitation of bus capacity, 3) the number of evacuees at demand node（bus pickup stop）,4) evacuees balance at demand and shelter nodes, which is formulated as a mixed integer nonlinear programming（MINLP）problem. Then, to eliminate the difficulties of choosing a proper M value in Big-M method, a Big-M free method is employed to linearize the nonlinear terms of the MINLP problem. Finally, the resultant mixed integer linear program（MILP） problem is solvable with efficient commercial solvers such as CPLEX or Gurobi, which guarantees the optimal evacuation plan *** evaluate the effectiveness of proposed evacuation model, we test our model on two different scenarios（a random one and a practical scenario）. For both scenarios, our model attains executable evacuation plan within given 3600 seconds computation time.

关键词： Nuclear leakage accident bus evacuation problem mixed integer nonlinear programming

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基于Watt连杆的可重复使用运载火箭腿式可展开着陆机构——原理、原型设计和实验验证（英文）

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engineering 2023年第1期 120-133页

作者：于海涛田保林闫振高海波张宏剑吴会强王英超石玉红邓宗全 State Key Laboratory of Robotics and Systems Harbin Institute of Technology Beijing Institute of Aerospace Systems Engineering

可重复使用运载火箭是降低太空运输成本的一种新途径。着陆机构是可重复使用运载火箭的重要组成部分，起到着陆支撑和吸收冲击的作用。本文提出了一种新型的可展开着陆机构（LDLM）。采用Watt-Ⅱ型六杆机构，利用连杆变分法得到优选构...

可重复使用运载火箭是降低太空运输成本的一种新途径。着陆机构是可重复使用运载火箭的重要组成部分，起到着陆支撑和吸收冲击的作用。本文提出了一种新型的可展开着陆机构（LDLM）。采用Watt-Ⅱ型六杆机构，利用连杆变分法得到优选构型。本文建立了多目标优化范式，使得可展开着陆机构具有着陆支撑区域大、重量轻、连杆内力合理等优点，在此基础上，利用NSGA-Ⅱ进化算法得到了可展开式着陆机构设计的最优尺寸参数。本文研制了全功能可重复使用运载火箭缩比样机，通过集成重力控制的展开方案以促进展开动作，避免全范围驱动，采用双重锁紧机构以提高展开状态时结构的可靠性，采用多级铝蜂窝缓冲器提供可靠的减震性能。实验结果表明，所提出的可展开式着陆机构能够提供快速平稳的展开（持续时间小于1.5 s），且对舱体的姿态扰动较小（偏航和俯仰波动小于6°）。此外，它在0.2 m自由落体测试中提供了足够的冲击衰减（加速度峰值小于10 g）。所提出的可展开着陆机构可作为未来可重复使用运载火箭潜在的腿式起落架替代方案。

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Underwater Geophysical Navigation using a Particle Filter Approach to Multi-Sensor Fusion

Underwater Geophysical Navigation using a Particle Filter Ap...

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OCEANS

作者： Marcelo Jacinto André Potes David Souto Yusen Gongy João Quintas João Cruz Shubham Garg António Pascoal Laboratory of Robotics and Systems in Engineering and Science (LARSyS) ISR/IST University of Lisbon Lisbon Portugal Science and Technology on Underwater Vehicles Laboratory Harbin Engineering University Harbin China

ISBN: (纸本)9781665427883

This paper addresses the problem of underwater navigation of autonomous underwater vehicles via a Monte Carlo estimation approach that relies on the use of a prior digital elevation map of the seabed and bathymteric data acquired with a Multibeam Echosounder. The Monte Carlo estimation procedure is implemented in the form of a particle filter, as part of a multi-sensor fusion framework for underwater geophysical navigation. The contribution of this paper focuses on two main topics: i) development of a particle filter as a solution to a terrain-based Bayesian vehicle positioning problem, followed by filter implementation and simulation and ii) integration of the particle filter structure in a multi-sensor fusion architecture for vehicle navigation with a view to increasing navigation accuracy. The results of realistic simulations with a dedicated marine robotics system simulator illustrate the navigation performance achieved with the proposed solution.

关键词： Autonomous underwater vehicles Monte Carlo methods Navigation Oceans Estimation Particle filters Bayes methods

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Multidirectional 3D printed functionally graded modular joint actuated by TCPFL muscles for soft robots

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Bio-Design and Manufacturing 2019年第4期2卷 256-268页

作者： Armita Hamidi Yara Almubarak Yonas Tadesse Humanoid Bio-robotics and Smart Systems(HBS)LaboratoryMechanical Engineering DepartmentThe University of Texas at DallasRichardsonTX 75080USA

Highly deformable bodies are essential for numerous types of applications in all sorts of environments. Joint-like structures comprising a ball and socket joint have many degrees of freedom that allow mobility of many biomimetic structures. Recently, soft robots are favored over rigid structures for their highly compliant material, high-deformation properties at low forces, and ability to operate in di fficult environments. However, it is still challenging to fabricate complex designs that satisfy application constraints due to the combined e ffects of material properties, actuation method, and structural geometry on the performance of the soft robot. Therefore, a combination of a rigid joint and a soft body can help achieve modular robots with fully functional body morphology. Yet, the fabrication of soft parts requires extensive molding for complex shapes, which comprises several processes and can be time-consuming. In addition, molded connections between extremely soft materials and hard materials can be critical failing points. In this paper, we present a functionally graded 3D-printed joint-like structure actuated by novel contractile actuators. Functionally graded materials (FGMs) via 3D printing allow for extensive material property enhancement and control which warrant tunable functionalities of the system. The 3D-printed structure is made of 3 rigid ball and socket joints connected in series and actuated by integrating twisted and coiled polymer fishing line ( TCPFL) actuators, which are con fined in the FGM accordion-shaped channels. The implementation of the untethered T CPFL actuation system can be highly bene ficial for deployment in environments that require low vibrations and silent actuation. The fishing line TCP actuators produce an actuation strain up to 40% and bend the joint up to 40° in any direction. The T CPFL can be actuated individually or as a group to control the bending trajectory of the modular joint, which is bene ficial when deployed i

关键词： Functionally graded 3D-printed Joint Multidirectional Fishing line TCP

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Programming Mobile Robots in an Educational Context: a Hardware-in-the-loop Approach

Programming Mobile Robots in an Educational Context: a Hardw...

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International Conference on Control, Decision and Information Technologies (CoDIT)

作者： Laiany Brancalião Mariano Alvarez João Coelho Miguel Conde Paulo Costa José Gonçalves Research Centre in Digitalization and Intelligent Robotics (CeDRI) Instituto Politécnico de Bragança Bragança Portugal University of Léon León Spain Institute of Engineering Systems and Computers Technology and Science (INESC TEC) University of Porto Porto Portugal Laboratory for Sustainability and Technology in Mountain Regions (SusTEC) Instituto Politécnico de Bragança Bragança Portugal

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

In this paper it is presented a Hardware-in-the-loop (HIL) mobile robot programming approach, to be applied in a robotics educational context. The motivation to apply this approach is the fact that students can program the robots without access to the robot hardware, but still maintain some important closed loop control critical features, such as a realistic lag time and the possibility for a larger number of students to program at the same time. Therefore, the developed software is applied to the real hardware without any change. The HIL approach was applied to provide a simulation close to reality, once the processing occurs in the real robot processor and the actuation and sensorization inside the simulation, adding to the advantage to test the firmware avoiding damage in the physical robot.

关键词： Context Robot sensing systems Hardware Software Mobile robots Information technology Programming profession Microprogramming

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Coordinated Guiding Vector Field Design for Ordering-Flexible Multi-Robot Surface Navigation

arXiv

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arXiv 2024年

作者： Hu, Bin-Bin Zhang, Hai-Tao Yao, Weijia Sun, Zhiyong Cao, Ming The School of Artificial Intelligence and Automation The Engineering Research Center of Autonomous Intelligent Unmanned Systems The Key Laboratory of Image Processing and Intelligent Control The State Key Lab of Digital Manufacturing Equipment and Technology Huazhong University of Science and Technology Wuhan430074 China The School of Robotics Hunan University Hunan410082 China The Institute of Engineering and Technology University of Groningen Groningen9747 AG Netherlands Department of Electrical Engineering Eindhoven University of Technology Netherlands

We design a distributed coordinated guiding vector field (CGVF) for a group of robots to achieve ordering-flexible motion coordination while maneuvering on a desired two-dimensional (2D) surface. The CGVF is characterized by three terms, i.e., a convergence term to drive the robots to converge to the desired surface, a propagation term to provide a traversing direction for maneuvering on the desired surface, and a coordinated term to achieve the surface motion coordination with an arbitrary ordering of the robotic group. By setting the surface parameters as additional virtual coordinates, the proposed approach eliminates potential singularity of the CGVF and enables both the global convergence to the desired surface and the maneuvering on the surface from all possible initial conditions. The ordering-flexible surface motion coordination is realized by each robot to share with its neighbors only two virtual coordinates, i.e. that of a given target and that of its own, which reduces the communication and computation cost in multi-robot surface navigation. Finally, the effectiveness of the CGVF is substantiated by extensive numerical simulations. Copyright © 2024, The Authors. All rights reserved.

关键词： Navigation

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FireXnet: an explainable AI-based tailored deep learning model for wildfire detection on resource-constrained devices

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Fire Ecology 2023年第1期19卷 1-19页

作者： Ahmad, Khubab Khan, Muhammad Shahbaz Ahmed, Fawad Driss, Maha Boulila, Wadii Alazeb, Abdulwahab Alsulami, Mohammad Alshehri, Mohammed S. Ghadi, Yazeed Yasin Ahmad, Jawad Faculty of Engineering and Technology Multimedia University Melaka Malaysia School of Computing Engineering and the Built Environment Edinburgh Napier University Edinburgh UK Department of Cyber Security Pakistan Navy Engineering College NUST Karachi Pakistan Robotics and Internet of Things Laboratory Prince Sultan University Riyadh Saudi Arabia RIADI Laboratory National School of Computer Sciences University of Manouba Manouba Tunisia Department of Computer Science College of Computer Science and Information Systems Najran University Najran Saudi Arabia Department of Software Engineering Computer Science Al Ain University Abu Dhabi United Arab Emirates

Forests cover nearly one-third of the Earth’s land and are some of our most biodiverse ecosystems. Due to climate change, these essential habitats are endangered by increasing wildfires. Wildfires are not just a risk to the environment, but they also pose public health risks. Given these issues, there is an indispensable need for efficient and early detection methods. Conventional detection approaches fall short due to spatial limitations and manual feature engineering, which calls for the exploration and development of data-driven deep learning solutions. This paper, in this regard, proposes 'FireXnet', a tailored deep learning model designed for improved efficiency and accuracy in wildfire detection. FireXnet is tailored to have a lightweight architecture that exhibits high accuracy with significantly less training and testing time. It contains considerably reduced trainable and non-trainable parameters, which makes it suitable for resource-constrained devices. To make the FireXnet model visually explainable and trustable, a powerful explainable artificial intelligence (AI) tool, SHAP (SHapley Additive exPlanations) has been incorporated. It interprets FireXnet’s decisions by computing the contribution of each feature to the prediction. Furthermore, the performance of FireXnet is compared against five pre-trained models — VGG16, InceptionResNetV2, InceptionV3, DenseNet201, and MobileNetV2 — to benchmark its efficiency. For a fair comparison, transfer learning and fine-tuning have been applied to the aforementioned models to retrain the models on our dataset. The test accuracy of the proposed FireXnet model is 98.42%, which is greater than all other models used for comparison. Furthermore, results of reliability parameters confirm the model’s reliability, i.e., a confidence interval of [0.97, 1.00] validates the certainty of the proposed model’s estimates and a Cohen’s kappa coefficient of 0.98 proves that decisions of FireXnet are in considerable accordance with t

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Vision based collision detection for a safe collaborative industrial manipulator

Vision based collision detection for a safe collaborative in...

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IEEE International Conference on Intelligence and Safety for robotics (ISR)

作者： Bruno Maric Fran Jurican Matko Orsag Zdenko Kovacic LARICS Laboratory for Robotics and Intelligent Control Systems University of Zagreb Faculty of Electrical Engineering and Computing Unska 3 Zagreb Croatia

ISBN: (纸本)9781665438629;9781665411486

In this work we present an improved method for collision detection that extends the ability of collaborative systems to share the workspace between the operator and the robot. Our work is based on the state-of-the-art GPU-Voxels algorithm, with a dynamic swept volume method for collision detection that minimizes intervention in robot trajectories. We propose a sensor calibration method that allows multiple cameras to be placed around the robot to ensure coverage without shadows. In addition, we show how our previous work on advanced force control algorithms, which in combination with the collision detection algorithm presented, meets all safety requirements of the technical specification ISO/TS 15066. Our ultimate goal is to derive a framework for collaborative industrial manipulators, which are able to work side by side with people.

关键词： Heuristic algorithms Dynamics Collaboration Robot sensing systems Safety Trajectory Calibration

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Prototyping and Control of an Educational Manipulator Robot

Prototyping and Control of an Educational Manipulator Robot

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International Conference on Control, Decision and Information Technologies (CoDIT)

作者： João Coelho Laiany Brancalião Mariano Alvarez Paulo Costa José Gonçalves Research Centre in Digitalization and Intelligent Robotics (CeDRI) Instituto Politécnico de Bragança Bragança Portugal University of Léon León Spain Institute of Engineering Systems and Computers Technology and Science (INESC TEC) University of Porto Porto Portugal Laboratory for Sustainability and Technology in Mountain Regions (SusTEC) Instituto Politécnico de Bragança Bragança Portugal

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

This article presents the prototyping of an educational manipulator robot, based on the "EEZYbotARM Mk2" robot, tailored for first-year master’s students in the field of robotics. The project encompasses the assembly of the robot arm, computation of both forward and inverse kinematics, and analysis of two path-planning movement algorithms. These features are consolidated into an Arduino library to streamline the process for students to generate instructions for the robot. The "EEZYbotARM Mk2" features a three-degree-of-freedom revolute arm with a gripper that remains parallel to its base at all times, enhancing its suitability for educational applications such as pick-and-place tasks. The article provides detailed descriptions of the materials and methods employed, along with proposed challenges for student engagement.

关键词： Kinematics Manipulators Libraries Information technology Grippers Assembly

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Next-Generation Prosthetic Hand:from Biomimetic to Biorealistic

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Research 2021年第1期2021卷 222-225页

作者： Ning Lan Manzhao Hao Chuanxin MNiu He Cui Yu Wang Ting Zhang Peng Fang Chih-hong Chou Institute of Medical Robotics Shanghai Jiao Tong UniversityShanghaiChina Laboratory of Neurorehabilitation Engineering School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghaiChina Department of Rehabilitation Medicine Ruijin HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghaiChina Center for Excellence in Brain Science and Intelligent Technology Chinese Academy of SciencesShanghaiChina School of Biological Science and Medical Engineering Beihang UniversityBeijingChina Beijing Advanced Innovation Center for Biomedical Engineering School of Biological Science and Medical EngineeringBeihang UniversityBeijingChina i-lab Key Laboratory of Multifunctional Nanomaterials and Smart SystemsSuzhou Institute of Nano-Tech and Nano-BionicsChinese Academy of SciencesSuzhouChina Shenzhen Institute of Advanced Technology Chinese Academy of SciencesShenzhenChina

Integrating a prosthetic hand to amputees with seamless neural compatibility presents a grand challenge to neuroscientists and neural engineers for more than half *** anatomical structure or appearance of human hand does not lead to improved neural connectivity to the sensorimotor system of *** functions of modern prosthetic hands do not match the dexterity of human hand due primarily to lack of sensory awareness and compliant ***,progress in restoring sensory feedback has marked a significant step forward in improving neural continuity of sensory information from prosthetic hands to ***,little effort has been made to replicate the compliant property of biological muscle when actuating prosthetic ***,a full-fledged biorealistic approach to designing prosthetic hands has not been contemplated in neuroprosthetic *** this perspective article,we advance a novel view that a prosthetic hand can be integrated harmoniously with amputees only if neural compatibility to the sensorimotor system is *** ongoing research supports that the next-generation prosthetic hand must incorporate biologically realistic actuation,sensing,and reflex functions in order to fully attain neural compatibility.

关键词： neural compatibility primarily

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