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11th IEEE International Conference on Advances in Computing and Communications, ICACC 2024

作者： Ahamed, Aftaab Jayaraj, Karthik Fazil, Shibin Nikitha, S. Sudheer, P.A. National Institute of Technology Calicut Robotics Interest Group Mechatronics Robotics Laboratory India National Institute of Technology Calicut Mechatronics/Robotics Laboratory Mechanical Engineering Department India

ISBN: (纸本)9798350379136

Holonomic drives are gaining popularity in many fields due to their versatility in various industrial applications. The ability of the holonomic drive robots to move in all directions makes it distinct from other drive mechanisms. Open-loop control of omnidirectional bots can be achieved with relative ease whereas automating it is not as easy. When trying to create an automated system with lower cost, off the shelf components and hardware, other problems may arise as a result of the poor performance of the components. Here a three wheeled omnidirectional robot that can trace a predefined path without human intervention has successfully been developed. © 2024 IEEE.

关键词： Open loop control

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AN IMPROVED AND ENHANCED DEPTH MAP APPROACH FOR OBSTACLE DETECTION IN UNKNOWN ENVIRONMENTS FOR REACTIVE AUTONOMOUS MOBILE ROBOTS

AN IMPROVED AND ENHANCED DEPTH MAP APPROACH FOR OBSTACLE DET...

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ASME 2024 International mechanical engineering Congress and Exposition, IMECE 2024

作者： Raju, Vomsheendhur Selekwa, Majura F. Mechatronics and Robotics Laboratory Department of Mechanical Engineering North Dakota State University FargoND United States

ISBN: (纸本)9780791888636

Interest in autonomous vehicles has attracted research into developing better navigation systems. Autonomous navigation systems guide unmanned vehicles to traverse any environment without human intervention;they require clear knowledge of the environment to make correct decisions. Information about the environment can be obtained from either ranging or vision sensors. Although ranging sensors such as LiDARs, radars, or sonars can detect the presence and location of obstacles, they don’t provide any information on whether the obstacles are traversable. On the other hand, vision sensors produce images similar to how human eyes perceive the environment, which can be processed to determine whether the sensed obstacle is traversable. Since vision sensors are light, less costly, and consume low power compared to LiDARs or Radars, there is an increasing interest in using them in autonomous navigation of unmanned ground vehicles. The main limitation of vision sensors for this purpose is their failure to directly identify the locations of the obstacles. Often, the location is determined by using a depth map, which is not always accurate and can be very computational. This paper proposes a new method of processing a depth map with improved accuracy. The depth of the closest objects to the stereo camera is extracted using the horizontal and vertical field of view of the sensor. It is further enhanced using morphological operations and the P-Tile segmentation technique to segment the obstacle(s) from its background and noise. This approach generates a denser map without any discontinuities, which leads to improved accuracy in locating close-by objects at less computational cost. Information from this depth map can be used as a low-cost alternative to ranging information in the navigation system for ground vehicles. Copyright © 2024 by ASME.

关键词： Stereo image processing

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ADVANCING AUTONOMOUS BACKING OF TRACTOR-TRAILER SYSTEMS: A DYNAMIC MODEL APPROACH

ADVANCING AUTONOMOUS BACKING OF TRACTOR-TRAILER SYSTEMS: A D...

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ASME 2024 International mechanical engineering Congress and Exposition, IMECE 2024

作者： Sah, Dhirendra K. Selekwa, Majura F. Mechatronics and Robotics Laboratory Department of Mechanical Engineering North Dakota State University FargoND58102 United States

ISBN: (纸本)9780791888636

Recent developments in sensing and information processing technology have seen an increased interest in applications of autonomous vehicles. Many driverless vehicles have been tested in various places and environments across the world. Automated backing of tractor-trailer systems is one of the problems yet to be fully addressed in this endeavor, even experienced drivers find it challenging to perform backup maneuvers of tractor-trailer systems in confined spaces. Achieving a fully automated backup maneuver of a tractor-trailer vehicle requires, among other things, the presence of a high-fidelity mathematical model of the vehicle. Often this problem is approached from a kinematic standpoint where the vehicle and the trailer are modeled using a bicycle structure formulation by concentrating weights at the axle centers only, which limits not only the maneuverability of the vehicle system but also its speed. This paper proposes a dynamic model of a tractor-trailer that treats the system as a finite structure of interconnected multi-bodies subjected to various forces and moments emanating from terramechanics and other non-conservative forces acting on the vehicle. This approach presents are more realistic motion of the vehicle even in confined spaces enabling it to avoid colliding with unintended objects during the maneuver. Simulation results by using such a model show that the vehicle can autonomously perform back up maneuvers in as limited clearances as 5% of the vehicle width at moderate speeds without significant slip. Copyright © 2024 by ASME.

关键词： Truck trailers

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Prediction of directivity characteristics of piezoelectric macro-fiber composite interdigital transducers: a semi-analytical approach 11

Prediction of directivity characteristics of piezoelectric m...

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11th European Workshop on Structural Health Monitoring, EWSHM 2024

作者： Raorane, Siddhesh Ambrozinski, Lukasz Stepinski, Tadeusz Packo, Pawel Department of Robotics and Mechatronics Faculty of Mechanical Engineering and Robotics AGH University of Science and Technology Krakow30-059 Poland

The employment of guided waves for structural health monitoring applications has attracted substantial attention in recent years. Piezoelectric transducers are frequently employed in these systems for elastic wave generation and acquisition. Their dynamic properties, i.e., direction-dependent frequency characteristics such as directivity patterns, are an important feature for designing a reliable monitoring strategy. Although analysis of the transducer directivity pattern can be performed using finite element models, these usually tend to be computationally very expensive, especially for parametric and optimization studies. In this paper, a semi-analytical framework is proposed that can predict the far-field directivity patterns of complex transducers of arbitrary shape and structure mounted on a substrate. The framework described in this paper integrates analytical far-field predictions with a local finite element model evaluating the traction field produced by the transducer. Consequently, the FE model accurately captures near-field responses, whereas the analytical component predicts the far-field responses. The implementation of this semi-analytical framework requires the development of analytical and numerical approaches. The former includes computation of dispersion curves of the inspected plate, the stress and displacement profiles of wave modes, and ultimately, the excitability relations, while the latter includes estimation of the traction field between the transducer and the plate using the FE model. Owing to the popularity of piezoelectric macro-fiber composite (MFC) transducers, in this paper, we apply the proposed method to predict the directivity patterns of MFC M2807-P2 transducer. To validate the reliability of the proposed method, the predicted patterns are compared with experimental results obtained using Laser Doppler Vibrometer. © 2024 11th European Workshop on Structural Health Monitoring, EWSHM 2024. All rights reserved.

关键词： Piezoelectric transducers

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A Recursive System Identification With Non-Uniform Temporal Feedback Under Coprime Collaborative Sensing

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ASME Letters in Dynamic Systems and Control 2023年第2期3卷 021010页

作者： Ouyang, Jinhua Chen, Xu Mechatronics Automation and Control Systems Laboratory Department of Mechanical Engineering University of Washington SeattleWA98195 United States Mechatronics Automation and Control Systems Laboratory Department of Mechanical Engineering University of Washington SeattleWA98195 United States

We present a system identification method based on recursive least-squares (RLS) and coprime collaborative sensing, which can recover system dynamics from non-uniform temporal data. Focusing on systems with fast input sampling and slow output sampling, we use a polynomial transformation to reparameterize the system model and create an auxiliary model that can be identified from the non-uniform data. We show the identifiability of the auxiliary model using a Diophantine equation approach. Numerical examples demonstrate successful system reconstruction and the ability to capture fast system response with limited temporal feedback. Copyright © 2023 by ASME.

关键词： Feedback

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A trajectory-level robot skill learning method based on fuzzy systems

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Science China(Information Sciences) 2025年第5期68卷 38-52页

作者： Chao ZENG Zhen DENG Boyang TI Yongsheng GAO Department of Computer Science University of Liverpool School of Mechanical Engineering and Automation Fuzhou University State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences State Key Laboratory of Robotics and System Harbin Institute of Technology

Learning from demonstration(LfD) allows for the effective transfer of human manipulation skills to a robot by building a model that represents these skills based on a limited number of demonstrated ***,a skilllearning model that can comprehensively satisfy multiple requirements,such as computational complexity,modeling accuracy,trajectory smoothness,and robustness,is still ***,this work aims to provide such a model by employing fuzzy ***,we introduce an LfD model named Takagi-Sugeno-Kang fuzzy system-based movement primitives(TSKFMPs),which exploits the advantages of the fuzzy theory for effective robotic imitation learning of human *** work formulates the TSK fuzzy system and gradient descent(GD) as imitation learning models,leveraging recent advancements in GD-based optimization for fuzzy *** study takes a two-step strategy.(ⅰ) The input-output relationships of the model are established using TSK fuzzy systems based on demonstration *** this way,the skill is encoded by the model parameter in the latent space.(ⅱ) GD is used to optimize the model parameter to increase the modeling accuracy and trajectory *** further explain how learned trajectories are adapted to new task scenarios through local *** conduct multiple tests using an open dataset to validate our method,and the results demonstrate performance comparable with those of other ***,we implement it in a real-world case study.

关键词： robot skill learning movement primitives TSK fuzzy systems gradient descent robotics

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An Open-Source Soft Robotic Platform for Autonomous Aerial Manipulation in the Wild 8

An Open-Source Soft Robotic Platform for Autonomous Aerial M...

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8th Conference on Robot Learning, CoRL 2024

作者： Bauer, Erik Blöchlinger, Marc Strauch, Pascal Raayatsanati, Arman Cavelti, Curdin Katzschmann, Robert K. Soft Robotics Laboratory Department of Mechanical and Process Engineering ETH Zurich Switzerland

Aerial manipulation combines the versatility and speed of flying platforms with the functional capabilities of mobile manipulation, which presents significant challenges due to the need for precise localization and control. Traditionally, researchers have relied on offboard perception systems, which are limited to expensive and impractical specially equipped indoor environments. In this work, we introduce a novel platform for autonomous aerial manipulation that exclusively utilizes onboard perception systems. Our platform can perform aerial manipulation in various indoor and outdoor environments without depending on external perception systems. Our experimental results demonstrate the platform's ability to autonomously grasp various objects in diverse settings. This advancement significantly improves the scalability and practicality of aerial manipulation applications by eliminating the need for costly tracking solutions. To accelerate future research, we open source3 our ROS 2 software stack and custom hardware design, making our contributions accessible to the broader research community. © 2024 Proceedings of Machine Learning Research.

关键词： Open source software

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Wheeled Mobile Robots on Rough Terrains as Stochastic Nonholonomic Systems

Wheeled Mobile Robots on Rough Terrains as Stochastic Nonhol...

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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Gzenda, Vaughn Chhabra, Robin Carleton University Autonomous Space Robotics and Mechatronics Laboratory Mechanical and Aerospace Engineering Department OttawaONK1S5B6 Canada

ISBN: (纸本)9781665410205

In this paper, we investigate the motion of wheeled mobile robots on rough terrains modeled as noisy nonholonomic constraints. Such constraints are the natural extension of ideal nonholonomic constraints when the Stratonovich process is directly introduced in the constraint equations. The resulting stochastic model can capture motion on rough surfaces, random deformation in the wheel-ground contact, or stochastic loss/gain of traction. We study a differential robot with ideal noisy and affine noisy constraints, where each case models a certain aspect of motion on rough terrains. We then investigate their corresponding stochastic dynamics and the propagation of mean and covariance through Monte-Carlo simulations. The proposed model for roving rough terrains has the potential to serve as the stochastic model employed in model-based motion planning, pose estimation, and control of rover systems. The main challenge will be dealing with the nonlinear appearance of the noise and its feedback in the equations of motion. © 2024 IEEE.

关键词： Stochastic models

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Bifunctional nanoprobe for simultaneous detection of intracellular reactive oxygen species and temperature in single cells

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Microsystems & Nanoengineering 2024年第6期10卷 161-172页

作者： Yanmei Ma Weikang Hu Jian Hu Muyang Ruan Jie Hu Ming Yang Yi Zhang Hanhan Xie Chengzhi Hu Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems Department of Mechanical and Energy EngineeringSouthern University of Science and TechnologyShenzhen 518000China Department of Electrical and Electronic Engineering Southern University of Science and TechnologyShenzhen 518000China

Living cells can rapidly adjust their metabolic activities in response to external stimuli,leading to fluctuations in intracellular temperature and reactive oxygen species(ROS)*** these parameters is essential for understanding cellular metabolism,particularly during dynamic biological *** this study,we present a bifunctional nanoprobe capable of simultaneous measurement of ROS levels and temperature within single *** nanoprobe features two individually addressable nanoelectrodes,with platinum(Pt)and nickel(Ni)coatings on both *** the tip,these two metal layers form a nano-thermocouple,enabling precise intracellular temperature measurements,while the Pt layer facilitates selective ROS *** dual functionality allows for real-time monitoring of cellular responses during synergistic chemo-photothermal therapy of cancer cells and zebrafish embryos subjected to mitochondrial toxic *** results demonstrate that the nanoprobe effectively measures increases in temperature and ROS levels in HeLa cells undergoing chemo-photothermal therapy,as well as in chemically stimulated zebrafish *** providing detailed analysis of submicrometer-scale temperature and ROS variations within living cells,this nanoprobe offers valuable insights into cellular processes and holds promise for early disease detection and drug development.

关键词： metabolism simultaneous holds

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New Approaches and Recent Applications of Tensegrity Structures

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Journal of engineering Science and Technology Review 2023年第5期16卷 1-12页

作者： Guacheta-Alba, Juan C. Valencia-Castaneda, Angie J. Dutra, Max Suell Aviles, Oscar F. Mauledoux, Mauricio Robotics Laboratory Mechanical Engineering Department Universidade Federal do Rio de Janeiro Rio de Janeiro21941-914 Brazil Davinci Research Group Mechatronics Engineering Department Universidad Militar Nueva Granada Bogotá111071 Colombia

Tensegrity is composed of structures that are characterized by compressive elements (bars) and tension elements (cables) that work together to transmit and/or withstand forces in an efficient and balanced manner. Their kinetic analysis, design, and control are study topics with various methods still being explored. Furthermore, research and development have been conducted in different areas such as architecture, engineering, biomechanics and robotics, exploring lightweight and resilient tensegrity structures for more flexible and adaptable movements. Tensegrity is a structure increasingly used and studied in different areas, thanks to its ability to transmit forces efficiently and its versatility in the application of designs and solutions in different areas. So, this review presents initial definitions of this area, as well as recent methods and applications that have been developed and are the focus of study for future advances. © 2023 School of Science, IHU. All Rights Reserved.

关键词： Deployable structures Flexible mechanisms Structural analysis Tensegrity Topology

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