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Design and simulation of a cable-pulley-based transmission for artificial ankle joints

Frontiers of Mechanical Engineering 2016年第2期11卷 170-183页

作者： Huaxin LIU Marco CECCARELLI Qiang HUANG Intelligent Robotics Institute School of Mechatronical Engineering Beijing Institute of Technology Beijing 100081 China Key Laboratory of Biomimetic Robots and Systems (Beijing Institute of Technology) Ministry of Education Beijing 100081 China Laboratory of Robotics and Mechatronics (LARM) DICeM University of Cassino and South Latium Cassino 03043 Italy Beijing Innovation Center for Intelligent Robots and Systems Beijing 100081 China State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081 China

In this paper, a mechanical transmission based on cable pulley is proposed for human-like actuation in the artificial ankle joints of human-scale. The anatomy articular characteristics of the human ankle is discussed for proper biomimetic inspiration in designing an accurate, efficient, and robust motion control of artificial ankle joint devices. The design procedure is presented through the inclusion of conceptual considerations and design details for an interactive solution of the transmission system. A mechanical design is elaborated for the ankle joint angular with pitch motion. A multi-body dynamic simulation model is elaborated accordingly and evaluated numerically in the ADAMS environment. Results of the numerical simulations are discussed to evaluate the dynamic performance of the proposed design solution and to investigate the feasibility of the proposed design in future applications for humanoid robots.

关键词： biomimetic designs ankle joints cable-pulleytransmissions multi-body dynamic simulation numericalcharacterization

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End-to-end throughput maximization for underlay multi-hop cognitive radio networks with rf energy harvesting

arXiv

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arXiv 2017年

作者： Xu, Chi Zheng, Meng Liang, Wei Yu, Haibin Liang, Ying-Chang State Key Laboratory of Robotics Key Laboratory of Networked Control Systems Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China University of Chinese Academy of Sciences Beijing100049 China State Key Laboratory of Robotics Key Laboratory of Networked Control Systems Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China School of Electrical and Information Engineering University of Sydney NSW2006 Australia University of Electronic Science and Technology of China Chengdu611731 China

This paper studies a green paradigm for the underlay coexistence of primary users (PUs) and secondary users (SUs) in energy harvesting cognitive radio networks (EH-CRNs), wherein battery-free SUs capture both the spectrum and the energy of PUs to enhance spectrum efficiency and green energy utilization. To lower the transmit powers of SUs, we employ multi-hop transmission with time division multiple access, by which SUs first harvest energy from the RF signals of PUs and then transmit data in the allocated time concurrently with PUs, all in the licensed spectrum. In this way, the available transmit energy of each SU mainly depends on the harvested energy before the turn to transmit, namely energy causality. Meanwhile, the transmit powers of SUs must be strictly controlled to protect PUs from harmful interference. Thus, subject to the energy causality constraint and the interference power constraint, we study the end-to-end throughput maximization problem for optimal time and power allocation. To solve this nonconvex problem, we first equivalently transform it into a convex optimization problem and then propose the joint optimal time and power allocation (JOTPA) algorithm that iteratively solves a series of feasibility problems until convergence. Extensive simulations evaluate the performance of EH-CRNs with JOTPA in three typical deployment scenarios and validate the superiority of JOTPA by making comparisons with two other resource allocation algorithms. Copyright © 2017, The Authors. All rights reserved.

关键词： Cognitive radio

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Trust Consensus Protocol for Heterogeneous Underwater Robotic systems

Trust Consensus Protocol for Heterogeneous Underwater Roboti...

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作者： Mazdin, Petra Arbanas, Barbara Haus, Tomislav Bogdan, Stjepan Petrovic, Tamara Miskovic, Nikola University of Zagreb Faculty of Electrical Engineering and Computing Laboratory for Robotics and Intelligent Control Systems Croatia University of Zagreb Faculty of Electrical Engineering and Computing Laboratory for Underwater Systems and Technologies Croatia

In this paper we analyze the application of a binary trust-consensus protocol in multi-agent systems with switching communication topology. Trust represents belief of one agent that the other one is capable of executing a specific task. The approach is motivated by an underwater robot system in which robots, called aMussels, are dispersed in the environment and measure environmental properties (for example sea-current) over a longer period of time, with sensors which are prone to failures. The goal is to apply the binary trust-consensus protocol to enable the system to autonomously detect failures of aMussels. Since direct communication between aMussels is energy consuming, a new type of moving robot, called aFish, is introduced that serves as a carrier of information. Since aFish have a limited communication range, communication topology is switching. Simulations are run first in Matlab for a homogeneous system, and then in a realistic simulation environment for the described scenario with heterogeneous agents. Results show that the protocol converges to the correct trust values and that the convergence time depends on the connectivity of the communication graph. © 2016

关键词： Multi agent systems

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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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Parse geometry from a line: Monocular depth estimation with partial laser observation

Parse geometry from a line: Monocular depth estimation with ...

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IEEE International Conference on robotics and Automation (ICRA)

作者： Yiyi Liao Lichao Huang Yue Wang Sarath Kodagoda Yinan Yu Yong Liu State Key Laboratory of Industrial Control Technology Zhejiang University Zhejiang China Horizon Robotics Inc. Beijing Shenzhen China Centre for Autonomous Systems (CAS) The University of Technology Sydney Australia

Many standard robotic platforms are equipped with at least a fixed 2D laser range finder and a monocular camera. Although those platforms do not have sensors for 3D depth sensing capability, knowledge of depth is an essential part in many robotics activities. Therefore, recently, there is an increasing interest in depth estimation using monocular images. As this task is inherently ambiguous, the data-driven estimated depth might be unreliable in robotics applications. In this paper, we have attempted to improve the precision of monocular depth estimation by introducing 2D planar observation from the remaining laser range finder without extra cost. Specifically, we construct a dense reference map from the sparse laser range data, redefining the depth estimation task as estimating the distance between the real and the reference depth. To solve the problem, we construct a novel residual of residual neural network, and tightly combine the classification and regression losses for continuous depth estimation. Experimental results suggest that our method achieves considerable promotion compared to the state-of-the-art methods on both NYUD2 and KITTI, validating the effectiveness of our method on leveraging the additional sensory information. We further demonstrate the potential usage of our method in obstacle avoidance where our methodology provides comprehensive depth information compared to the solution using monocular camera or 2D laser range finder alone.

关键词： Estimation Lasers Two dimensional displays Neural networks Robot sensing systems Three-dimensional displays

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Impedance matching strategy for physical human robot interaction control

Impedance matching strategy for physical human robot interac...

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IEEE International Conference on Automation Science and Engineering (CASE)

作者： Xiongjun Chen Chenguang Yang Cheng Fang Zhijun Li Key Laboratory of Autonomous Systems and Networked Control South China University of Technology Guangzhou China Zienkiewicz Centre for Computational Engineering Swansea University UK Department of Advanced Robotics Istituto Italiano di Tecnologia Genova Italy

Effective and stable execution of a human-robot interaction task requires the force and position trajectories of the robot are commanded properly according to the time-varying human arm behavior. In this paper, we aim to realize a direct and physical interaction task between the human hand and robotic arm end-effector. A computationally efficient Cartesian stiffness estimation model of human arm is first employed, which accounts for the geometric and volume modifications of the Cartesian stiffness profile through the arm posture and the activation levels of the two dominant upper arm muscles (i.e., Biceps and Triceps) respectively. Two Myo armbands are attached on the upper arm and the forearm with their built-in gyroscopes and wireless electromyography sensors (EMG) tracking the arm posture and the activation levels of the two muscles respectively. This stiffness estimation model is then extended to the full impedance sense by considering the mass and damping items supplementarily. Once the impedance estimation model is available after the calibration in various arm configurations and muscle activation levels. We employed Linear Quadratic Regulator (LQR) to computing the corresponding impedance model of the robot to match the estimated human arm behavior. An adaptive controller base on Function Approximation Technique (FAT) is employed to control the robot trajectory in joint space to realize the matching impedance behavior. The corresponding simulation results show that the proposed scheme is stable and effecitve.

关键词： Manipulators Impedance Robot sensing systems Muscles Electromyography Jacobian matrices

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Robot Teaching by Teleoperation Based on Visual Interaction and Neural Network Learning

Robot Teaching by Teleoperation Based on Visual Interaction ...

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2017 9th International Conference on Modelling, Identification and control (ICMIC 2017)

作者： Yang Xu Chenguang Yang Junpei Zhong Hongbin Ma Lijun Zhao Min Wang Key Laboratory of Autonomous Systems and Networked Control College of Automation Science and EngineeringSouth China University of Technology National Institute of Advanced Industrial Science and Technology School of Automation Beijing Institution of Technology State Key Laboratory of Robotics and System Harbin Institute of Technology

Traditional methods of Robot teaching require human demonstrators to program with a teaching pendant,which is a complex and time-consuming *** this paper,we propose a novel method based on teleoperation which allows a demonstrator to train robot in an intuitive *** specifically,at the beginning the demonstrator controls a robot by visual *** then a learning algorithm based on radial basis function(RBF) network is used to transfer the demonstrator's motions to the *** verify the effectiveness of this developed methods,several simulation experiments have been carried out which based on Microsoft Kinect Sensor and the Virtual Robot Experimentation Platform(V-REP).The experimental results show that this method has achieved satisfactory *** the help of this method,the robot can not only complete the task autonomously after teaching,but also can learn the details of demonstrator's behavior.

关键词： Robot Teaching Teleoperation radial basis function(RBF) network

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LPV-based torque control for an extreme-scale morphing wind turbine rotor

LPV-based torque control for an extreme-scale morphing wind ...

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American control Conference

作者： Dana P. Martin Kathryn E. Johnson Daniel S. Zalkind Lucy Y. Pao Colorado School of Mines Division of Electrical Engineering Golden 80401 USA Colorado School of Mines Division of Electrical Engineering 80401 USA University of Colorado - Boulder 80309 USA Control Systems Sensor Fusion and Robotics Laboratory USA

ISBN: (纸本)9781509045839

Recent trends in wind turbine design have demonstrated that decreased levelized cost of energy (LCOE) can be achieved by increasing rotor size and therefore the amount of energy a wind turbine can capture. However, as rotor radii increase into extreme scales, it is likely that the increased mass required to maintain the necessary structural strength for three-bladed upwind turbines will drive up costs faster than they can be outweighed by increased energy production. We are part of a team that has been working to design a two-bladed, downwind 13.2 MW wind turbine rotor that maintains structural integrity by using load alignment and active coning. Together with the increased scale and downwind configuration, the active coning provides both additional challenges and opportunities for turbine control. In this paper, we design and evaluate a linear parameter varying (LPV) generator torque control technique that compensates for the changing system dynamics as the rotor coning angle changes.

关键词： Torque control Wind Energy Conversion systems TURBINE ROTOR cone angle turbine control Power production image morphing System dynamics energy capacity STRUCTURAL INTEGRITY before the wind

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Mechatronic Design of a Human Robot Coupling Interface for Teaching by Demonstration

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IFAC-PapersOnLine 2016年第21期49卷 675-680页

作者： Liang P. Yang C. Wang N. Li Z. Li R. State Key Lab of Robotics Systems Harbin Institute of Technology Harbin China Zienkiewicz Centre for Computational Engineering Swansea University Swansea United Kingdom Centre for Robotics and Neural Systems Plymouth University United Kingdom The MOE Key Laboratory of Autonomous System and Network Control College of Automation Science and Engineering South China University of Technology Guangzhou 510640 China

In this paper, we have developed a mechatronic human-robot coupling interface for kinaesthetic guidance based human robot teaching interface, by integration of a 6-axis force sensor, a coupling mechanism and wearable electromyography (EMG) arrays. Our design aims to transfer human operator's arm kinematics, force as well as human upper limb stiffness estimated from EMG signals to robot manipulators. Experiments have been carried out to test the teaching by demonstration performance of the coupling system in two scenarios: i) human teaching a robot for lifting up task; ii) human-robot skill transfer for one joint motion. Experimental results indicated that the coupling design nearly caused no disturbance to human upper limb stiffness estimation. Moreover, human arm kinematics and force/torque in task space can be transferred to the robot in a natural way with guaranteed safety. This coupling interface design can be easily extended to other robot platforms and has great potentials in application of human robot skill transfer. © 2016

关键词： electromyography (EMG) human robot coupling teaching by demonstration

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Commentaries on Viewpoint: Physiology and fast marathons

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Journal of applied physiology (Bethesda, Md. : 1985) 2020年第4期128卷 1069-1085页

作者： Jordan Santos-Concejero Fernando González-Mohíno José María González-Ravé Stephane Perrey Arthur H. Dewolf Brandon A. Yates Anton Ušaj Tadej Debevec José Manuel González-Rayas Ana Lilia Rayas-Gómez José Manuel González-Yáñez Romuald Lepers Paul Stapley Julien Louis Felix Proessl P T Nikolaidis B Knechtle D Muniz-Pumares B Hunter L Bottoms Bastien Bontemps Pedro L. Valenzuela Daniel Boullosa Juan Del Coso Richard C. Blagrove Philip R. Hayes Gregoire P. Millet Davide Malatesta Yuri de Almeida Costa Campos Miller Pereira Guimarães Jeferson Macedo Vianna Sandro Fernandes da Silva Paulo Henrique Silva Marques de Azevedo Hunter L. Paris Margaret A. Leist Mast T. Lige William Malysa Alicia S. Oumsang Erin C. Sinai Rasmus K. Hansen Niels H. Secher Stefanos Volianitis Laura Hottenrott Kuno Hottenrott Thomas Gronwald Jonathon W. Senefeld Ricardo J. Fernandes João Paulo Vilas-Boas Alain Riveros-Rivera Dieter Böning Daniel H. Craighead Shalaya Kipp Rodger Kram Christoph Zinner Billy Sperlich Hans-Christer Holmberg Borja Muniz-Pardos Shaun Sutehall Konstantinos Angeloudis Fergus M. Guppy Andrew Bosch Yannis Pitsiladis David C. Andrade Rodrigo Del Rio Rodrigo Ramirez-Campillo Thiago Ribeiro Lopes Bruno Moreira Silva Stephen J. Ives Peter G. Weyand Cayque Brietzke Paulo Estevão Franco-Alvarenga Tony Meireles dos Santos Flávio Oliveira Pires Gwenael Layec Wouter Hoogkamer Christopher S. Balestrini Curtis S. Goss Mikaela C. Gabler Albaro Escalera Shane A. Bielko Robert F. Chapman Department of Physical Education and Sport University of the Basque Country UPV/EHU Vitoria-Gasteiz Spain University of Castilla-La Mancha Sport Training Lab Toledo Spain Facultad de Lenguas y Educación Universidad Nebrija Madrid Spain EuroMov Digital Health in Motion University of Montpellier IMT Mines Ales Montpellier France Department of Systems Medicine and Center of Space Biomedicine University of Rome Tor Vergata Rome Italy Department of Kinesiology Indiana University-Purdue University of Indianapolis Indianapolis Indiana Indiana Center for Musculoskeletal Health Indiana University School of Medicine Indianapolis Indiana Faculty of Sport University of Ljubljana Ljubljana Slovenia Department of Automation Biocybernetics and Robotics Jozef Stefan Institute Ljubljana Slovenia School of Medicine and Health Sciences Monterrey Institute of Technology and Higher Education Monterrey México Hospital San José de Querétaro Querétaro México INSERM UMR1093-CAPS UFR des Sciences du Sport Université Bourgogne Franche-Comté Dijon France Neural Control of Movement Laboratory School of Medicine Faculty of Science Medicine and Health Illawarra Health and Medical Research Institute University of Wollongong New South Wales Australia Research Institute for Sport and Exercise Sciences Liverpool John Moores University Liverpool United Kingdom Neuromuscular Research Laboratory University of Pittsburgh Pittsburgh Pennsylvania School of Health and Caring Sciences University of West Attica Athens Greece Institute of Primary Care University of Zurich Zurich Switzerland Department of Psychology and Sport Sciences School of Life and Medical Sciences University of Hertfordshire Hatfield United Kingdom Unité de recherche Impact de l’Activité Physique sur la Santé (UR IAPS Number 201723207F) University of Toulon Toulon France Department of Systems Biology University of Alcalá Madrid Spain Department of Sport and Health Spanish Agency for Health Protection in Sport (AEPSAD)

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