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IEEE International Conference on robotics and automation (ICRA)

作者： Chuang Zhang Wenxue Wang Ning Xi Yuechao Wang Lianqing Liu State Key Laboratory of Robotics China and University of Chinese Academy of Sciences Beijing China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Science Shenyang China Department of Industrial & Manufacturing Systems Engineering University of Hong Kong Pokfulam Hong Kong State Key Laboratory of Robotics Chinese Academy of Sciences Shenyang China

Bio-syncretic robots, consisting of living biological materials and traditional electromechanical systems, have attracted lots of attention due to the potentialities of self-sensing, self-actuation and self-repairing with intrinsic safety and high energy conversion efficiency. However, most of current researches focus on the movement of the devices, and have ignored the study on the control of actuation unit “cells”, which is as important as motors for traditional electromechanical robots. In this work, the effects of cell culturing time, seeding concentration and functional drugs (cytochalasin and adrenalin) on contractile frequency and force strength of cardiomyocytes have been studied using scanning ion conductance microscope (SICM) and arrays of micro-pillars made of PDMS. This work will lay the foundation for the further study of quantitatively control of bio-syncretic robots actuated by cardiomyocytes and is also meaningful for the development of cytology, medicine, and clinical science.

关键词： Robots Force Muscles Actuators Force measurement automation

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A unified leader-follower scheme for mobile robots with uncalibrated on-board camera

A unified leader-follower scheme for mobile robots with unca...

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2017 IEEE International Conference on robotics and automation, ICRA 2017

作者： Guo, Dejun Wang, Hesheng Chen, Weidong Liu, Ming Xia, Zeyang Leang, Kam K. Lab University of Utah Robotics Center Salt Lake CityUT84112 United States Department of Automation Shanghai Jiao Tong University Shanghai200240 China Department of Electronics and Computer Engineering Hong Kong University of Science and Technology Hong Kong Hong Kong Institute of Biomedical and Health Engineering Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China

ISBN: (纸本)9781509046331

This paper studies the problem of image-based leader-follower formation control for mobile robots, where the controller is designed independently of the leader's motion. An adaptive control scheme, which is suitable for both omnidirectional and perspective cameras, is proposed. The proposed approach avoids the need for accurate calibration of the extrinsic parameters of the omnidirectional camera as well as the intrinsic and extrinsic parameters of perspective camera. Additionally, the coefficients of the plane where the feature point moves relative to the camera frame can be uncertain. These uncertain constant parameters are estimated using an adaptive estimator. Uniform Semi-global Practical Asymptotic Stability (USPAS) of the system is shown using the Lyapunov approach. Experimental results are presented to demonstrate the effectiveness of the proposed control scheme. © 2017 IEEE.

关键词： Mobile robots

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A novel extended potential field controller for use on aerial robots

A novel extended potential field controller for use on aeria...

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2016 IEEE International Conference on automation Science and Engineering, CASE 2016

作者： Woods, Alexander C. Lay, Hung M. Ha, Quang P. Advanced Robotics and Automation Laboratory Department of Computer Science and Engineering University of Nevada RenoNV89557 United States School of Electrical Mechanical and Mechatronic Systems University of Technology Sydney Australia

ISBN: (纸本)9781509024094

Unmanned Aerial Vehicles (UAV), commonly known as drones, have many potential uses in real world applications. Drones require advanced planning and navigation algorithms to enable them to safely move through and interact with the world around them. This paper presents an extended potential field controller (ePFC) which enables an aerial robot, or drone, to safely track a dynamic target location while simultaneously avoiding any obstacles in its path. The ePFC outperforms a traditional potential field controller (PFC) with smoother tracking paths and shorter settling times. The proposed ePFC's stability is evaluated by Lyapunov approach, and its performance is simulated in a Matlab environment. Finally, the controller is implemented on an experimental platform in a laboratory environment which demonstrates the effectiveness of the controller. © 2016 IEEE.

关键词： Controllers

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Collision Position Sensing for Manipulator Using Force/Torque Sensor 34

Collision Position Sensing for Manipulator Using Force/Torqu...

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第三十四届中国控制会议

作者： LENG Yuquan CHEN Zhengcang ZHANG Wei ZHANG Yang HE Xu LUO Haitao ZHOU Weijia Department of Space Automation Technologies & Systems the State Key Laboratory of RoboticsShenyang Institute of Automation University of Chinese Academy of Science

ISBN: (纸本)9781467374439

Force sensing including collision position, force direction and force size makes robots smoothly interact with environment to strongly adapt to outside world. Skin sensing imitates principle of human skin using special material and physical structure with disadvantages of complex design, low sampling rate, and poor generality and so on. In this paper, the method of using fore/torque sensor to calculate collision position, force direction and force size is provided. We detail elaborate algorithm based on physical principle, and unified modeling method for basic geometric surface. Considering algorithm solvability and uniqueness, three constraints are proposed, which are joint constraint, contour constraint and force direction constraint. In order to solve conflict solution of algorithm in redundant constraints, we propose compatibility and method. In addition, gravity compensation and dynamic compensation are also described for working manipulator in gravity and dynamic environment. As a result of our simulation experiment, we would find that this method is effective for manipulator to measure collision position.

关键词： Collision Position Force/Torque Sensor Skin Sensor Manipulator

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AFM measurement of the mechanical properties of single adherent cells based on vibration

AFM measurement of the mechanical properties of single adher...

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IEEE/RSJ International Conference on Intelligent Robots and systems

作者： Chuang Zhang Jialin Shi Wenxue Wang Ning Xi Yuechao Wang Lianqing Liu State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences 110016 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Science 10016 China Emerging Technologies Institute Department of Industrial & Manufacturing Systems Engineering University of Hong Kong Pokfulam Hong Kong

ISBN: (纸本)9781509037636

Cellular mechanical properties as the main physical performance characteristics have been actively studied in the past years for the study of cytobiology and the development of medicine. In this study, by combining Hertz model, a novel strategy is proposed to simultaneously measure the cellular mechanical properties including cellular mass, elasticity and viscosity, based on the principle of forced vibration stimulated by simple harmonic force, with piezoelectric transducer (PZT) as vibrator and Atomic Force Microscope (AFM) as detector. The corresponding theoretical model was derived and the simulation was realized based on the proposed model. The experiments of indentations and vibrations with myoblasts and myotubes were implemented to calculate the three mechanical parameters of cells according to the proposed strategy. The results validated the proposed approach. This work would be useful for the development of cytology, medicine, previously diagnose, specific therapy and so on.

关键词： Vibrations Force Substrates Cells (biology) Force measurement

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A Novel Extended Potential Field Controller for Use on Aerial Robots

A Novel Extended Potential Field Controller for Use on Aeria...

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IEEE International Conference on automation Science and Engineering

作者： Alexander C. Woods Hung M. La Quang P. Ha Advanced Robotics and Automation Laboratory Department of Computer Science and Engineering University of Nevada Reno 89557 USA School of Electrical Mechanical and Mechatronic Systems University of Technology Sydney Australia

ISBN: (纸本)9781509024100

关键词： Drones Navigation Robot sensing systems Target tracking Stability analysis

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Rehabilitation with lower limb exoskeleton robot joint load adaptive server control

Rehabilitation with lower limb exoskeleton robot joint load ...

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International Conference on Information and automation (ICIA)

作者： Shaomin Zhang Can Wang Ying Hu Duxin Liu Ting Zhang Xinyu Wu Key Laboratory of Human-Machine-Intelligence Synergic Systems Chinese Academy ot Sciences Shenzhen College of Advanced Technology University of Chinese Academy of Sciences Guangdong Provincial Key Laboratory of Robotics and Intelligent System Chinese Academy of Sciences Department of Mechanical and Automation The Chinese University of Hong Kong

ISBN: (纸本)9781509041039

In order to help spinal cord injury (SCI) patients to walk again, a medical robot exoskeleton have been developed to assist these patients to walk independently in SIAT, Shenzhen. The research of this article is exoskeleton robot single joint load adaptive servo control. Considering the volunteers, wearing an exoskeleton robot, joints have significant changes in load torque and the moment of inertia, so driving joints was designed based on fuzzy control. Load adaptive servo controller makes the robot in rows, counter rotating torque moment of inertia of change and change has a better adaptability, and improves the smoothness of joint movement. This method was tested and the test on SIAT exoskeletons, verify the feasibility of joint adaptive control algorithm.

关键词： Servomotors Legged locomotion Exoskeletons Torque DC motors

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Study of adhesion force between cellulose micro-sphere and cellulose membrane

Study of adhesion force between cellulose micro-sphere and c...

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International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO)

作者： Yuli Lai Pasi Kallio Hao Zhang Hui Xie Yasuhito Sugano Johan Bobacka Department of Automation Science and Engineering Tampere University of Technology Tampere Finland The State Key Laboratory of Robotics and Systems Harbin Institute of Technology Harbin China Department of Chemistry University of Helsinki Helsinki Finland Johan Gadolin Process Chemistry Centre Åbo Akademi University Turku Finland

ISBN: (纸本)9781509029464

Development of novel high added value cellulose products requires improved understanding of interaction forces, which includes also the adhesion force, between cellulose surfaces. However, the interaction forces between cellulose surfaces have not been adequately studied. In this paper, cellulose-cellulose adhesion force is studied by using a customized dual-probe atomic force microscope (AFM) with a cellulose colloidal probe. Two different types of cellulose membranes (CM) with cellulose concentration of 1.5% and 2% are used as test samples, and about ten thousand tests are repeated on each CM sample type. Adhesion force histograms are provided and they show a large difference between the two types of CM. The average adhesion force on CM 1.5% is approximately 10 times higher than that on CM 2%. On CM 1.5%, the adhesion forces concentrate on the range from 450nN to 650nN, whereas on CM 2% the force distribute from 50 to 75nN. The difference in the adhesion force on these two types of CM can be attributed to their difference in surface roughness and surface energy.

关键词： Probes Adhesives Force Surface topography Force measurement Rough surfaces Surface roughness

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Discrete-time dynamic graphical games:model-free reinforcement learning solution

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Control Theory and Technology 2015年第1期13卷 55-69页

作者： Mohammed I.ABOUHEAF Frank L.LEWIS Magdi S.MAHMOUD Dariusz G.MIKULSKI Systems Engineering Department King Fahd University of Petroleum & Mineral UTA Research Institute University of Texas at ArlingtonFort Worth Texas U.S.A. State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Ground Vehicle Robotics (GVR) U.S. Army TARDEC Warren MI U.S.A.

This paper introduces a model-free reinforcement learning technique that is used to solve a class of dynamic games known as dynamic graphical games. The graphical game results from to make all the agents synchronize to the state of a command multi-agent dynamical systems, where pinning control is used generator or a leader agent. Novel coupled Bellman equations and Hamiltonian functions are developed for the dynamic graphical games. The Hamiltonian mechanics are used to derive the necessary conditions for optimality. The solution for the dynamic graphical game is given in terms of the solution to a set of coupled Hamilton-Jacobi-Bellman equations developed herein. Nash equilibrium solution for the graphical game is given in terms of the solution to the underlying coupled Hamilton-Jacobi-Bellman equations. An online model-free policy iteration algorithm is developed to learn the Nash solution for the dynamic graphical game. This algorithm does not require any knowledge of the agents＇ dynamics. A proof of convergence for this multi-agent learning algorithm is given under mild assumption about the inter-connectivity properties of the graph. A gradient descent technique with critic network structures is used to implement the policy iteration algorithm to solve the graphical game online in real-time.

关键词： Dynamic graphical games Nash equilibrium discrete mechanics optimal control model-free reinforcementlearning policy iteration

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A Human Motion Prediction Algorithm Based on HSMM for SIAT's Exoskeleton

A Human Motion Prediction Algorithm Based on HSMM for SIAT's...

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第35届中国控制会议

作者： Min Wang Xinyu Wu Du-Xin Liu Can Wang Key Laboratory of Human-Machine-Intelligence Synergic Systems Shenzhen Institutes of Advanced TechnologyChinese Academy of Sciences Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced TechnologyChinese Academy of Sciences Department of Mechanical and Automation The Chinese University of Hong Kong

ISBN: (纸本)9781509009107

Getting the exoskeleton pilot's motion intent is very important for exoskeleton *** this paper,a new approach to predict human motion is *** prediction method is based on Hidden Semi-Markov *** orientation of the pilot's segment is collected by the Inertial Measurement *** Adaptive Boosting algorithm is adopted to classify the orientation data into *** sequence of motion labels is inputted into Hidden Semi-Markov Models for motion *** experimental data validate the proposed method.

关键词： Adaptive Boosting Hidden Semi-Markov Model Human Motion Prediction Exoskeleton

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