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2022 IEEE-RAS 21st International Conference on Humanoid Robots, Humanoids 2022

作者： Joshi, Sagar Beck, Irene Seth, Ajay Santina, Cosimo Della Mechanical Maritime and Materials Engineering Faculty TU Delft Delft Netherlands Robotics and Mechatronics Department Munich Germany

ISBN: (纸本)9798350309799

Soft exosuits can help to prevent work-related musculoskeletal disorders by offloading human muscles through the application of external forces across the human joints. Many exosuits achieve this through tension producing elements called as exotendons. However, the design of these devices is based on intuition and experience. This leads to potentially sub-optimal or even harmful designs that could cause discomfort or injury to the wearer. This paper deals with automatically finding appropriate attachments and routing locations for exotendons. We propose to do that by accurate musculoskeletal modeling and design parameter optimization of soft exosuits. We focus here on a soft exosuit with a single passive exotendon to assist the shoulder. Using three arm raising-lowering and internal-external rotation motions as examples, we optimize the attachment point and rest-length of the exotendon to reduce overall muscle effort. We then fabricate the exosuit and validate the model predictions by testing with six participants. Supporting the predictions from simulations, measured muscle activity shows reductions in the deltoid and trapezius muscles. This work represents the first instance of explicitly optimizing functional and geometric parameters of exotendons in wearable assistive devices for minimizing human effort. © 2022 IEEE.

关键词： Muscle

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Toolpath and Tool Design Innovations in Deformation Machining for Superior AA-7075 T6 Fins 6

Toolpath and Tool Design Innovations in Deformation Machinin...

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6th International Conference on Advancements in Materials and Manufacturing, ICAAMM 2024

作者： Ponnusamy, Prasanth Seenivasan, S. Loganathan, Ganesh Babu Magesh Babu, D. Sivalingam, A. Nanthakumar, S. Girimurugan, R. Department of Mechanical Engineering Tagore Institute of Engineering and Technology Tamilnadu Salem636 112 India Department of Mechanical Engineering Rathinam Technical Campus Tamilnadu Coimbatore641 021 India Department of Robotics and Automation Rajalakshmi Engineering College Tamilnadu Chennai602 105 India Department of Mechatronics Engineering Velammal Institute of Technology Tamilnadu Panjetty601 204 India Department of Mechatronics Engineering Sona College of Technology Tamilnadu Salem636 005 India Department of Mechanical Engineering PSG Institute of Technology and Applied Research Tamilnadu Coimbatore641 062 India Department of Mechanical Engineering Nandha College of Technology Tamilnadu Perundurai638 052 India

A hybrid manufacturing process, deformation machining (DM) combines subtractive manufacturing with incremental forming. Monolithic components with complex profiles are created through the hybridization of manufacturing technologies, which also reduces the wastage of raw materials. The properties of geometry and surface quality of the fin made from the aluminum alloy Al-7075 T6 using the DM process's bending mode was examined in this research, as were the effects of various approaches, toolpath methods, and tool design. To achieve the desired shape for the machined fin, various combinations of arcuate and slanting fin toolpath techniques were explored utilizing both top-down and bottom-up methods. The bottom-up method and the arcuate toolpath strategy were used to investigate various tool profiles. Using the best combination of toolpath strategy and tool profile, named as the T3 tool profile, which has a 0.6 mm nose radius and a circular sector, bottom-to-top (BTT)technique, and arcuate toolpath method, components with better geometrical features and surface roughness (SR) were produced. The analysis of the forming force in the bending approach of the DM progression was further carried out using this optimal combination. © Published under licence by IOP Publishing Ltd.

关键词： Bending (forming)

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Artificial Neural Networks for the Forward Kinematics of a SCARA Manipulator: A Comparative Study with Two Datasets

Artificial Neural Networks for the Forward Kinematics of a S...

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2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems, ICETSIS 2024

作者： Bouzid, Rania Narayan, Jyotindra Gritli, Hassène Tunis Borj Cedria1164 Tunisia Indian Institute of Technology Guwahati Mechatronics and Robotics Laboratory Department of Mechanical Engineering Assam Guwahati781039 India Le Belvédère Tunis1002 Tunisia

ISBN: (纸本)9798350372229

In the field of robotics and automation, the precise determination of manipulator positions is a fundamental aspect with widespread applications. Despite the significance of analytical methods, solving the Forward Kinematics (FK) for Selective Compliance Assembly Robot Arm (SCARA) manipulator robots can be complex and computationally intensive. Our research introduces a method to address the FK problem for the four degrees of freedom (4-DoF) SCARA manipulator through Artificial Neural Networks (ANNs). We utilize two different generated datasets, one with a fixed step size and another one based on a sinusoidal signal, for training the ANNs. This choice of datasets allows us to assess the ANN s' generalization capabilities across a range of operating conditions. Thereafter, the study is planned to investigate the ANN's performance while employing three distinct training algorithms: Levenberg-Marquardt (LM), Bayesian Regularization (BR), and Scaled Conjugate Gradient (SCG). Through a comprehensive comparison of the performance of different ANN models, different training algorithms, and the two adopted generated datasets, this study provides valuable insights into selecting the most optimal training configurations for the SCARA robot's FK solutions. We employ the Mean Squared Error (MSE) and the error histogram as two performance metrics to assess the accuracy of various ANNs. The results reveal that optimal MSE outcomes were obtained when utilizing a balanced architecture with three hidden layers in the analysis of the sinusoidal-signal-based datasets. © 2024 IEEE.

关键词： Artificial Neural Network Fixed-step- and sinusoidal-signal-based datasets Forward kinematics SCARA manipulator robot Training optimizers

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Designing Optimal Parameters for Single-Axis Solar-Tracker through Analysis of Sun-Path and Tracking Vector Dynamics 6

Designing Optimal Parameters for Single-Axis Solar-Tracker t...

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6th International Conference on Electrical engineering and Information and Communication Technology, ICEEICT 2024

作者： Akhtaruzzaman, M. Islam, Md Shofiqul Shahryer, Fahim Arif, Muammer Din Mollik, Md. Sazib Rahman, Muhammad Towfiqur Rahman, Md. Mahbubur Hasan, Mohammad Kamrul Ahmed, Shugata Ashrafuzzaman, Md. Department of Computer Science and Engineering Dhaka1216 Bangladesh Department of Mechanical Engineering Dhaka1216 Bangladesh Department of Electrical and Electronic Engineering Dhaka Bangladesh Department of Computer Science and Engineering Dhaka Bangladesh Faculty of Information Science and Technology Bangi Malaysia Department of Robotics and Mechatronics Engineering Bangladesh Sdn. Bhd. Cyberjaya Malaysia

ISBN: (纸本)9798350385779

The persistent challenges faced by sun-tracking systems include inefficient power production, wastage of energy, ineffective control, and high costs. Most of the existing systems are either static or dual-axis tracking which lead to inefficient output or increasing energy wastage and cost overheads. Though, single-axis tracking system has some benefits over the static or dual-axis tracking, most of the systems do not analyze the selection of optimal sun-path which again leads to inefficient and inadequate absorption of sunlight. Addressing the issues, this article presents a design of optimal parameters for single-axis solar-tracking by analyzing the sun-path and tracking vector dynamics. The study mainly focuses on analyzing solar-tracking dynamics, variations in sunray angles, Azimuth and Elevation dynamics throughout the day for the twelve months, Sun-vector calculation for local coordinates, joint rotational-axis, and joint motion control using a Proportional-Derivative controller. Additionally, the article outlines a conceptual architecture for automated control, monitoring, and power distribution for the potential development of a sustainable smart city. The proposed strategy addresses the issues of the optimal design of a single-axis solar-tracker, thus ensuring the reduction of cost overhead and energy wastage. © 2024 IEEE.

关键词： Dynamics

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Semantic Segmentation in Unmanned Aerial Vehicle Surveillance for Detailed Urban Tree Mapping and Species Classification 6

Semantic Segmentation in Unmanned Aerial Vehicle Surveillanc...

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6th International Conference on Advancements in Computing, ICAC 2024

作者： Senanayake, S.M.R.B. Herath, H.M.K.K.M.B. Yasakethu, S.L.P. Madhusanka, B.G.D.A. Sri Lanka Technology Campus Department of Mechatronics Engineering Padukka Sri Lanka Sri Lanka Technology Campus Computational Intelligence and Robotics Research Lab Padukka Sri Lanka The Open University of Sri Lanka Department of Mechanical Engineering Nugegoda Sri Lanka

ISBN: (纸本)9798331517878

Urban greening is becoming increasingly important, which has increased interest in tracking and analyzing urban vegetation and highlighted the necessity for an accurate and practical evaluation of greenery inside cities. Unmanned Aerial Vehicles (UAVs) have become an essential tool for mapping vegetation at a broad scale, frequently using orthographic views to manage the heavy workload. This research examines semantic segmentation and a particular issue with tree species identification brought on by perspective views from different heights. The methodology involved the semantic segmentation methods used without orthorectification on a single low-altitude ( © 2024 IEEE.

关键词： Vegetation mapping

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How Fast Can a Robotic Drummer Beat Using Dielectric Elastomer Actuators?

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IEEE robotics and Automation Letters 2024年第3期9卷 2638-2645页

作者： Wakle, Sudhir Lin, Tse-Han Huang, Shu Basu, Sumit Lau, Gih-Keong National Yang Ming Chiao Tung University International College of Semiconductor Technology Hsinchu30010 Taiwan Indian Institute of Technology Kanpur Mechanical Engineering Department Kanpur208016 India National Yang Ming Chiao Tung University Department of Graduate Degree Program of Robotics Hsinchu30010 Taiwan Industrial Technology Research Institute Mechanical and Mechatronics System Research Labs Zhudong 31057 Taiwan National Yang Ming Chiao Tung University Department of Mechanical Engineering International College of Semiconductor Technology Hsinchu30010 Taiwan

Fast drumming presents a speed challenge to many robotic arms. To simultaneously meet the needs for speed, stroke, and force, we proposed and tested a new double-saddle dielectric elastomer actuator (DEA) as the artificial biceps for driving a lightweight robotic drummer. This work finds that fast force induction is instrumental to the fast drumming by a DEA-driven drumstick. While a pure-shear series of DEA under a large pre-stretch and lateral reinforcement can generate a large isotonic stroke, it is not fast in isometric force induction. Instead, this work found a double-saddle DEA, which is a degenerated two-segment pure-shear DEA with a middle laterally buckled beam, managed to induce a faster isometric force at a 0.5 s down time constant when its ultimate actuation tapered due to substantial strain stiffening effect. As such, this double-saddle DEA-driven drummer suffered less from the dynamic stroke decrement than the 8-segment DEA did. A 4.4 g DEA managed to swing freely a 7.8 g drumstick up to nearly 60° at 6 kV and a maximum tip speed of up to 0.45 m/s. The drumming frequency upon 5.5 kV activation was up to 2-2.5 Hz. In comparison, an 8-segment pure-shear DEA-driven drummer failed to reach the drum when pulsed at 2 Hz. Interestingly, a slower stroke excited multiple drumbeats due to secondary bounces. To achieve a faster drumming to match a human drummer, it is foreseen that a harder dielectric elastomer material will help drive a faster soft robot. © 2016 IEEE.

关键词： Dielectric materials

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Wheelchair Control by Users' Eye Movements Using Signals Acquired in OpenBCI

Wheelchair Control by Users' Eye Movements Using Signals Acq...

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2023 IEEE International Symposium on Robotic and Sensors Environments, ROSE 2023

作者： Rexha, Genta Pajaziti, Arbnor Bajrami, Xhevahir Kola, Jozef Capi, Genci Pongthanisorn, Goragod Polytechnic University of Tirana Department of Electronics and Telecommunications Tirana Albania Faculty of Mechanical Engineering Department of Mechatronics Prishtina Serbia Albanian University Department of Engineering Tirana Albania Hosei University Assistive Robotics Laboratory Tokyo Japan

ISBN: (纸本)9798350308044

In this study is presented a wheelchair with a control mechanism driven by the user's eye movements. The wheelchair's functionality is enabled through two stepper motors, a driver DMA860H, and an Arduino Uno microcontroller. The objective of the research is that the EEG signals are read and by means of these signals we perform certain tasks or control various processes. OpenBCI (Brain Computer Interface) board has been used to measure and record electrical activity produced by the brain and is compatible with standard EEG (Electroencephalogram) *** user's eye movements will be used to operate the stepper motors. The OpenBCI Cyton plus Daisy biosensing board samples the signals, which are then processed in Matlab before relaying the motions to Arduino Uno. The wheelchair can move left, right, backward, and forward, based on eye movements. © 2023 IEEE.

关键词： Wheelchairs

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Quantifying Joint Movement Variability in Healthy and Hemiplegic Gait using OpenSim 2

Quantifying Joint Movement Variability in Healthy and Hemipl...

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2nd IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2024

作者： Rafiq, Tabassum Younis, Sadia Narayan, Jyotindra Institute of Information Management and Technology Department of Biotechnology Uttar Pradesh Aligarh202001 India Government College of Engineering and Technology Department of Biomedical Engineering Jammu and Kashmir Ganderbal193504 India Indian Institute of Technology Guwahati Mechatronics and Robotics Laboratory Department of Mechanical Engineering Assam Guwahati781039 India

ISBN: (纸本)9798350360523

This study delves into the scaling capabilities of OpenSim, a biomechanical modeling tool, to scrutinize musculoskeletal alterations accompanying the hemiplegic condition compared to a healthy model. Contralateral hemiplegia (CH), characterized by unilateral paralysis, induces profound changes in bone size and significantly influences an individual's gait. Motivated by understanding the biomechanical repercussions of CH on human movement, we conducted a comprehensive investigation involving ten patients with CH, with a median age of 46 years (range: 39 to 52.0 years and height: 1.75 0.6 m). Ten healthy controls with similar body attributes were±also recruited. We assessed musculoskeletal changes post-CH using bone length data from MRI reports obtained from a hospital. Inverse kinematics in OpenSim are facilitated for a detailed comparison of joint angles between unhealthy and healthy individuals. The gait data is visualized and analyzed using statistical metrics such as mean absolute deviation, box plots, and a two-sample t-test. The results revealed significant differences in hip and ankle joint angles between healthy and hemiplegic individuals, underscored by low p-values. Interestingly, no significant difference was observed in knee joint angles (p-value = 0.9126). These findings contribute to a valuable understanding of hemiplegia-related musculoskeletal changes, offering potential avenues for tailored interventions to improve mobility and quality of life. © 2024 IEEE.

关键词： Inverse kinematics

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

e-Journal of Nondestructive Testing

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e-Journal of Nondestructive Testing 2024年第7期29卷

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, NDT. net GmbH and Co. KG. All rights reserved.

关键词： Forecasting

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Enhancing Industrial Safety Helmets: Development and Evaluation of Epoxy-Based Glass and Basalt Fiber Composites 1

Enhancing Industrial Safety Helmets: Development and Evaluat...

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1st International Conference on Materials Innovation in engineering and Technology, ICMIET 2024

作者： Pandi, Raja R. Bihari, Bagesh Chokkalingam, P. Karthikeyan, R. Anand, R. Kalaiarasan, S. Sivalingam, A. Department of Robotics and Automation Rajalakshmi Engineering College Tamil Nadu India Department of Mechanical Engineering Ramgarh Engineering College Jharkhand India Department of Mechanical Engineering Erode Sengunthar Engineering College Tamil Nadu India Department of Automobile Engineering Rajalakshmi Engineering College Tamil Nadu India Department of Aeronautical Engineering Nehru Institute of Technology Tamil Nadu India Department of Chemistry Sona College of Technology Tamil Nadu India Department of Mechatronics Engineering Sona College of Technology Tamil Nadu India

Employing personal protective equipment, including helmets for safety, at industrial sites is the ultimate step in averting disasters, and such equipment is commonly recognized the disposable items. Industrial safety helmets employ Polypropylene Terephthalate (PET) or polypropylene (PP) resins is the primary material for shell to efFiciently absorb impacts. Additionally, they exhibit a commendable level of heat resistance. Nevertheless, there is currently a lack of active initiatives to develop novel materials using a straightforward fabrication approach. The objective of this work was to enhance safety behaviour of industrial helmets by using epoxy resin as the matrix to develop composite material consisting of glass Fiber and basalt Fiber in a direct cross-ply arrangement. Subsequently, the performance of this composite material was evaluated in relation to glass and basalt composites, and PET plastic. The samples are produced through compression molding method. The tensile strength (TS), Flexural strength (FS), impact strength (IS), and inter laminar shear strength (ILSS), and their heat resistance capabilities are assessed using thermo gravimetric analysis (TGA). The impact energy absorptions of BFRP, BF/GFRP, and GFRP were 6.3, 6.1, and 5.2 times higher than that of PET plastic correspondingly. Superior heat resistance was demonstrated by specimens built of Basalt Fiber Reinforced Polymer (BFRP) and Basalt Fiber/Glass Fiber Reinforced Polymer (BF/GFRP), as compared to the other scenarios. For instance, when compared to PET plastic, BFRP was 24.9 times stronger while BF/GFRP was 12.7 times stronger. The outcomes of this research work are showed that the basalt and glass Fiber reinforced composites (BF/GFRP) exhibit the superior impact energy absorption than PET plastic. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Impact strength

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