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RSI/ISM International Conference on robotics and Mechatronics (ICROM)

作者： S. Ali A. Moosavian Mohamad R. Mohamadi Farshid Absalan Center of Excellence in Robotics and Control Advanced Robotics – Automated Systems (ARAS) Lab K. N. Toosi University of Technology Tehran Iran

ISBN: (纸本)9781728101286;9781728101279

Rehabilitation robotics is nowadays one of the most attractive fields in robotics. This paper focuses on modeling of a lower limb walking assist device (RoboWalk), augmented with the human body. RoboWalk has been designed to assist either the elderly people or those with malfunctioning in lower limb to do their daily tasks. Modeling the assistive device augmented to human model is highly important for design improvements and controller developments. In such complicated cases, simulators are appropriate tools to analyze the dynamics of robotic devices and understand how the device works which leads to the system improvements. In this paper, a human model that is properly appended to the RoboWalk has been analyzed using the OpenSim software. The human model includes 37 degrees of freedom to define joint kinematics, 80 muscle units actuating the lower limbs, and 17 torque actuators driving the upper body. To this end, the robot has been first added to the human model, then constraints have been properly defined, finally simulation has been implemented by adding a specified gait to human model. Obtained results will be discussed which reveal a reasonable performance of the whole system.

关键词： Solid modeling Actuators Assistive devices Knee Hip Legged locomotion

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Dynamics Modeling and Performance Analysis of RoboWalk

Dynamics Modeling and Performance Analysis of RoboWalk

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RSI/ISM International Conference on robotics and Mechatronics (ICROM)

作者： Mahdi Nabipour S. Ali A. Moosavian Center of Excellence in Robotics and Control Advanced Robotics and Automated Systems (ARAS) Lab. Dept of Mechanical Engineering K. N. Toosi University of Technology Tehran Iran

ISBN: (纸本)9781728101286;9781728101279

In this article, after introducing the RoboWalk body weight support assistive device, the forward kinematics of human and the inverse kinematics of the assistive robot are introduced. Then, a method for obtaining an analytical dynamics of the system is presented. This method is based on modeling the human body without modeling its constraints and contact forces. Then, the contact forces are taken into account and mapped into joint space of the robot using the jacobian matrices of interaction points. This method of modeling is then compared and verified by the numerical Recursive Newton Euler Algorithm. Since the numerical method is more efficient and has less computational complexities, it can be used in implementing the control algorithms on the robot. After the model is verified, a control strategy for assisting the user is designed and implemented on the developed model of RoboWalk. The performance of this control strategy is evaluated by comparing the floor reaction force and user joint torques if using Robowalk or not. Finally, the actuator's specification to fulfill our requirements is discussed.

关键词： Robot kinematics Kinematics Exoskeletons Mathematical model Legged locomotion Pelvis

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Robust Object Tracking Based on Recurrent Neural Networks

Robust Object Tracking Based on Recurrent Neural Networks

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RSI/ISM International Conference on robotics and Mechatronics (ICROM)

作者： F. Lotfi V. Ajallooeian H. D. Taghirad Advanced Robotics and Automated Systems (ARAS) Industrial Control Center of Excellence (ICCE) K.N. Toosi University of Technology Tehran Iran

ISBN: (纸本)9781728101286;9781728101279

Object tracking through image sequences is one of the important components of many vision systems, and it has numerous applications in driver assistance systems such as pedestrian collision avoidance or collision mitigating systems. Blurred images produced by a rolling shutter camera or occlusions may easily disturb the object tracking system. In this article, a method based on convolutional and recurrent neural networks is presented to further enhance the performance and robustness of such trackers. It is proposed to use a convolutional neural network to detect an intended object and feed the tracker with found image. Moreover, by using this structure the tracker is updated every ' n ' frames. A recurrent neural network is designed to learn the object behavior for estimating and predicting its position in blurred frames or when it is occluded behind an obstacle. Real-time implementation of the proposed approach verifies its applicability for improvement of the trackers performance.

关键词： Detectors Target tracking Object tracking Recurrent neural networks Proposals Robots

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A Dual-User Teleoperated Surgery Training Scheme Based on Virtual Fixture

A Dual-User Teleoperated Surgery Training Scheme Based on Vi...

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RSI/ISM International Conference on robotics and Mechatronics (ICROM)

作者： A. Iranfar M. Motaharifar H. D. Taghirad Advanced Robotics and Automated Systems (ARAS) Industrial Control Center of Excellence (ICCE) Faculty of Electrical Engineering K. N. Toosi University of Technology Tehran Iran

ISBN: (纸本)9781728101286;9781728101279

The widespread use of minimally invasive surgery (MIS) demands an appropriate framework to train novice surgeons (trainees) to perform MIS. One of the effective ways to establish a cooperative training system is to use virtual fixtures. In this paper, a guiding virtual fixture is proposed to correct the movements of the trainee according to trainer hand motion performing a real MIS surgery. The proposed training framework utilizes the position signals of trainer to modify incorrect movements of the trainee which leads to shaping the trainee's muscle memory. Thus, after enough training sessions the trainee gains sufficient experience to perform the surgical task without any further help from the trainer. The passivity approach is utilized to analyze the stability of system. Simulation results are also presented to demonstrate the effectiveness of the proposed method.

关键词： Training Surgery Haptic interfaces Task analysis Stability analysis Force Trajectory

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An Early Stage Researcher's Primer on systems Medicine Terminology

Network and Systems Medicine

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Network and systems Medicine 2021年第1期4卷 2-50页

作者： Zanin, Massimiliano Aitya, Nadim A.A. Basilio, José Baumbach, Jan Benis, Arriel Behera, Chandan K. Bucholc, Magda Castiglione, Filippo Chouvarda, Ioanna Comte, Blandine Dao, Tien-Tuan Ding, Xuemei Pujos-Guillot, Estelle Filipovic, Nenad Finn, David P. Glass, David H. Harel, Nissim Iesmantas, Tomas Ivanoska, Ilinka Joshi, Alok Boudjeltia, Karim Zouaoui Kaoui, Badr Kaur, Daman Maguire, Liam P. McClean, Paula L. McCombe, Niamh De Miranda, João Luís Moisescu, Mihnea Alexandru Pappalardo, Francesco Polster, Annikka Prasad, Girijesh Rozman, Damjana Sacala, Ioan Sanchez-Bornot, Jose M. Schmid, Johannes A. Sharp, Trevor Solé-Casals, Jordi Spiwok, Vojtěch Spyrou, George M. Stalidzans, Egils Stres, Blaa Sustersic, Tijana Symeonidis, Ioannis Tieri, Paolo Todd, Stephen Van Steen, Kristel Veneva, Milena Wang, Da-Hui Wang, Haiying Wang, Hui Watterson, Steven Wong-Lin, Kongfatt Yang, Su Zou, Xin Schmidt, Harald H.H.W. Centro de Tecnología Biomédica Universidad Politécnica de Madrid Madrid Spain Intelligent Systems Research Centre School of Computing Engineering and Intelligent Systems Ulster University Ulster United Kingdom Center for Physiology and Pharmacology Institute of Vascular Biology and Thrombosis Research Medical University of Vienna Vienna Austria TUM School of Life Sciences Weihenstephan Technical University of Munich Freising Germany Holon Israel CNR National Research Council IAC Institute for Applied Computing Rome Italy Lab of Computing Medical Informatics and Biomedical Imaging Technologies School of Medicine Aristotle University of Thessaloniki Thessaloniki Greece Université Clermont Auvergne INRAE UNH Plateforme d'Exploration du Métabolisme MetaboHUB Clermont Clermont-Ferrand France Université de Technologie de Compiègne Compiègne France Labex MS2T Control of Technological Systems-of-Systems CNRS and Université de Technologie de Compiègne Compiègne France Faculty of Engineering University of Kragujevac Kragujevac Serbia Kragujevac Serbia Steinbeis Advanced Risk Technologies Institute Doo Kragujevac Kragujevac Serbia Pharmacology and Therapeutics School of Medicine Galway Neuroscience Centre National University of Ireland Galway Ireland School of Computing Ulster University Ulster United Kingdom Holon Israel Department of Mathematics and Natural Sciences Kaunas University of Technology Kaunas Lithuania Faculty of Computer Science and Engineering Ss. Cyril and Methodius University Skopje Macedonia Medicine Faculty Université Libre de Bruxelles CHU de Charleroi Charleroi Belgium Northern Ireland Centre for Stratified Medicine Biomedical Sciences Research Institute Ulster University Ulster United Kingdom Escola Superior de Tecnologia e Gestão Instituto Politécnico de Portalegre Portalegre Portugal Instituto Superior Técnico Universidade de Lisboa Lisboa Portugal Faculty of Automatic Control and Computers University Politehnica of B

Background: systems Medicine is a novel approach to medicine, that is, an interdisciplinary field that considers the human body as a system, composed of multiple parts and of complex relationships at multiple levels, and further integrated into an environment. Exploring systems Medicine implies understanding and combining concepts coming from diametral different fields, including medicine, biology, statistics, modeling and simulation, and data science. Such heterogeneity leads to semantic issues, which may slow down implementation and fruitful interaction between these highly diverse fields. Methods: In this review, we collect and explain more than100 terms related to systems Medicine. These include both modeling and data science terms and basic systems medicine terms, along with some synthetic definitions, examples of applications, and lists of relevant references. Results: This glossary aims at being a first aid kit for the systems Medicine researcher facing an unfamiliar term, where he/she can get a first understanding of them, and, more importantly, examples and references for digging into the topic. © Massimiliano Zanin et al., 2021;Published by Mary Ann Liebert, Inc. 2021.

关键词： Semantics

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Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients

IEEE Transactions on Technology and Society

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IEEE Transactions on Technology and Society 2022年第4期3卷 272-289页

作者： Allahabadi, Himanshi Amann, Julia Balot, Isabelle Beretta, Andrea Binkley, Charles Bozenhard, Jonas Bruneault, Frederick Brusseau, James Candemir, Sema Cappellini, Luca Alessandro Chakraborty, Subrata Cherciu, Nicoleta Cociancig, Christina Coffee, Megan Ek, Irene Espinosa-Leal, Leonardo Farina, Davide Fieux-Castagnet, Genevieve Frauenfelder, Thomas Gallucci, Alessio Giuliani, Guya Golda, Adam Van Halem, Irmhild Hildt, Elisabeth Holm, Sune Kararigas, Georgios Krier, Sebastien A. Kuhne, Ulrich Lizzi, Francesca Madai, Vince I. Markus, Aniek F. Masis, Serg Mathez, Emilie Wiinblad Mureddu, Francesco Neri, Emanuele Osika, Walter Ozols, Matiss Panigutti, Cecilia Parent, Brendan Pratesi, Francesca Moreno-Sanchez, Pedro A. Sartor, Giovanni Savardi, Mattia Signoroni, Alberto Sormunen, Hanna-Maria Spezzatti, Andy Srivastava, Adarsh Stephansen, Annette F. Theng, Lau Bee Tithi, Jesmin Jahan Tuominen, Jarno Umbrello, Steven Vaccher, Filippo Vetter, Dennis Westerlund, Magnus Wurth, Renee Zicari, Roberto V. Ey Netherlands Enterprise Intelligence Department Amsterdam1083 HP Netherlands Eth Zurich Health Ethics and Policy Lab Department of Health Sciences and Technology Zürich8092 Switzerland Center for Diplomatic and Strategic Studies Postgraduate Studies in Diplomacy and International Relations Paris75015 France Pisa56124 Italy Hackensack Meridian Health Bioethics Center EdisonNJ08820 United States University of Oxford Faculty of Philosophy OxfordOX2 6GG United Kingdom Collège André- Laurendeau Philosophie Department MontrealQCH8N 2J4 Canada Université du Québec À Montréal École des Médias MontrealQCH2L 2C4 Canada Pace University Philosophy Department New YorkNY10038 United States The Ohio State University Wexner Medical Center Department of Radiology ColumbusOH43210 United States Humanitas Research Hospital Department of Radiology Milan20089 Italy Humanitas University Department of Biomedical Sciences Milan20089 Italy University of New England Faculty of Science Agriculture Business and Law ArmidaleNSW2351 Australia University of Technology Sydney Faculty of Engineering and Information Technology SydneyNSW2007 Australia Scuola Superiore Sant'Anna European Centre of Excellence on the Regulation of Robotics and Ai Pisa56127 Italy University of Bremen Group of Computer Architecture Bremen28359 Germany New York University Grossman School of Medicine Division of Infectious Diseases and Immunology Department of Medicine New YorkNY10016 United States Digital Institute Ai Research Section Stockholm16731 Sweden Arcada University of Applied Sciences Department of Business Management and Analytics Helsinki00550 Finland University of Brescia Radiological Sciences and Public Health Department of Medical and Surgical Specialties Brescia25121 Italy Sncf Reseau Sa Ethique Groupe La Plaine93418 France Institute of Diagnostic and Interventional Radiology University Hospital Zurich Zürich8091 Switzerland Eindhoven University of Tech

This article's main contributions are twofold: 1) to demonstrate how to apply the general European Union's High-Level Expert Group's (EU HLEG) guidelines for trustworthy AI in practice for the domain of healthcare and 2) to investigate the research question of what does 'trustworthy AI' mean at the time of the COVID-19 pandemic. To this end, we present the results of a post-hoc self-assessment to evaluate the trustworthiness of an AI system for predicting a multiregional score conveying the degree of lung compromise in COVID-19 patients, developed and verified by an interdisciplinary team with members from academia, public hospitals, and industry in time of pandemic. The AI system aims to help radiologists to estimate and communicate the severity of damage in a patient's lung from Chest X-rays. It has been experimentally deployed in the radiology department of the ASST Spedali Civili clinic in Brescia, Italy, since December 2020 during pandemic time. The methodology we have applied for our post-hoc assessment, called Z-Inspection®, uses sociotechnical scenarios to identify ethical, technical, and domain-specific issues in the use of the AI system in the context of the pandemic. © 2020 IEEE.

关键词： COVID-19

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Passivity-based stability in explicit force control of robots

Passivity-based stability in explicit force control of robot...

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IEEE International Conference on robotics and Automation (ICRA)

作者： Ribin Balachandran Mikael Jorda Jordi Artigas Jee-Hwan Ryu Oussama Khatib Department for Analysis and Control of Advanced Robotic Systems German Aerospace Center (DLR) Germany Robotics Lab Stanford University Stanford USA BioRobotics Laboratory of Korea University of Technology and Education Cheonan Korea

Direct force control of robots is challenging, particularly since the interaction with the environment can render the robot unstable. This paper presents the results of novel approaches for passivity-based stability for a particular direct force control method, namely explicit force control. A step-by-step procedure to passivate and stabilise the control loop is presented and it explains how Time Domain Passivity Approach, a passivity-based tool widely used in teleoperation and haptics has been extended and applied in explicit force control. The electrical circuit and network-port representations derived in the process allows the analytical evaluation of the system and can be applied in other control architectures as well. The stability methods are presented both qualitatively and quantitatively with simulations and hardware experiments. A discussion about the results obtained and the energy behavior is also provided. Results are promising and suggest that these methods can be used for stable and high-bandwidth force control of robotic manipulators.

关键词： Force Force control Robots Iron Stability criteria Ports (Computers)

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Balance Recovery of a Quadruped Robot

Balance Recovery of a Quadruped Robot

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RSI/ISM International Conference on robotics and Mechatronics

作者： Mahdi Khorram S. Ali A. Moosavian Center of Excellence in Robotics and Control Advanced Robotics and Automated Systems Lab Dept of Mech Eng K. N. Toosi Univ of Tech Tehran Iran Center of Excellence in Robotics and Control Advanced Robotics and Automated Systems Lab Dept of Mech Eng K. N. Toosi Univ of Tech Tehran Iran

ISBN: (纸本)9781467372350

Maintaining the balance or stability of legged robots in natural terrains is a challenging problem. Besides the inherent unstable characteristics of legged robots, the sources of instability are the irregularities of the ground surface and also the external pushes. In this paper, a push recovery framework for restoring the robot balance against external unknown disturbances will be demonstrated. It is assumed that the magnitude of exerted pushes is not large enough to use a reactive stepping strategy. In the comparison with previous methods, which a simplified model such as point mass model is used as the model of the robot for studying the push recovery problem, the whole body dynamic model will be utilized in present work. This enhances the capability of the robot to exploit all of the DOFs to recover its balance. To do so, an explicit dynamic model of a quadruped robot will be derived. The balance controller is based on the computation of the appropriate acceleration of the main body. It is calculated to return the robot to its desired position after the perturbation. This acceleration should be chosen under the stability and friction conditions. To calculate main body acceleration, an optimization problem is defined so that the stability, friction condition considered as its constraints. The simulation results show the effectiveness of the proposed algorithm. The robot can restore its balance against the large disturbance solely through the adjustment of the position and orientation of main body.

关键词： Push recovery Quadruped robots dynamics stability friction constraints

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Modified Jacobian Transpose control of a Quadruped Robot

Modified Jacobian Transpose Control of a Quadruped Robot

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RSI/ISM International Conference on robotics and Mechatronics

作者： Mahdi Khorram S. Ali A. Moosavian Center of Excellence in Robotics and Control Advanced Robotics and Automated Systems Lab Dept of Mech Eng K. N. Toosi Univ of Tech Tehran Iran

ISBN: (纸本)9781467372350

Quadruped robots have many advantages over other robots. Their excellent potentials to traverse different terrains are one of main advantages which distinguish these robots from wheeled mobile robot. In this article, the gait planning problem and also the design of an appropriate controller for a quadruped robot will be investigated. To this end, an explicit dynamics model of an 18-DOF quadruped robot will be derived. Then, a constraint elimination method is proposed to cancel the contact forces from dynamics equations and also express the dynamics equations in terms of the independent variables of the motion. In the walking gait, these DOFs are the position and the orientation of main body and also the joint angles of the swing leg. A stable COG trajectory generation algorithm based on the ZMP approach will be proposed. The path of swing legs is planned to prevent any impact between the swing legs and the ground. To apply the generated path on the robot, Modified Transpose Jacobian (MTJ) controller is used. This controller is based on the feedback linearization approach. It uses the command controller in the previous time step to increase the controller performance. The simulation is conducted to evaluate the performance of the gait planning algorithm and also the controller. Obtained results verify the merits of the proposed algorithms.

关键词： Quadruped robots Walking gait stable gait planning control MTJ Algorithm

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Dynamics of a 9-DoF Robotic Leg for a Football Simulator

Dynamics of a 9-DoF Robotic Leg for a Football Simulator

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RSI/ISM International Conference on robotics and Mechatronics

作者： Masoud Vahidi S. Ali A. Moosavian Center of Excellence in Robotics and Control Advanced Robotics and Automated Systems (ARAS) Lab. Department of Mechanical Engineering K.N. Toosi University of Technology Tehran Iran

ISBN: (纸本)9781467372350

This paper focuses on a robotic human-like leg. This robot was designed and modeled for task of kicking soccer ball to desired target. In addition, applications of this robot have been explained and its kinematics and dynamics equations have been developed. Kinematic analysis has been done using Denavit-Hartenberg method and position, velocity and acceleration of center of mass (CoM) of all links can be obtained. Dynamics equations of this robot have been written using recursive Lagrange method and inverse dynamics problem has been solved. Finally, kinematics and dynamics equations of this robot are verified using a numerical simulation in MATlab simmechanics.

关键词： robotic leg simmechanics verification kinematics dynamics

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