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IEEE International Conference on Robotics and Biomimetics

作者： Dezheng Zhao Guodong Yang En Li Zize Liang The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

A bi-branchiate robot is presented for the inspection of the high-voltage power transmission lines. With a symmetrical mechanical structure, the robot can roll along the power lines and negotiating all the obstacles in the lines to complete the inspection work. A hierarchical structure based on modular approach are used to design the control system of the robot. A combination mode composed of teleoperation via RF module and local intelligence based on visual servoing is developed to control the inspection robot. Using an image feature acquisition method based on Otsu adaptive threshold, the position and width of the power line in image plane are extracted as the basis of controller design. Experiments of obstacle negotiation and automatic line grasping in laboratory prove the effectiveness of the proposed robot prototype and the relative control method.

关键词： Robot kinematics Cameras Inspection Robot vision systems Feature extraction

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Modeling and analysis of wireless power transmission system for inspection robot

Modeling and analysis of wireless power transmission system ...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Mingbo Yang Guodong Yang En Li Zize Liang Hao Lin State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781467351942

A wireless power transmission technique based robotic power management system for prolonging continuous working time of one transmission line inspection robot is introduced in this paper. Magnetic resonance coupled WPT (wireless power transmission) unit is designed and analyzed in form of electrical circuit mode theory. Impedance matching is introduced and a special matching method for four coils resonance coupled based WPT is given. The output power of WPT unit is modeled and relationship between coupled coefficient, angular frequency and amount of output power is given and energy consumption of each unit in power management system is quantified. Experiment shows that models can precisely describe the character of WPT system and it performs to be applicable for charging the inspection robot wirelessly.

关键词： Coils Robots Inspection Wireless communication Power transmission Impedance matching Resonant frequency

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Design and implementation of a biomimetic robotic jellyfish based on multi-linkage mechanism

Design and implementation of a biomimetic robotic jellyfish ...

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Chinese control Conference (CCC)

作者： Jundong Xiao Junzhi Yu State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479900305

Inspired by the characteristics of high agility and stability of live jellyfish, a novel biomimetic robotic jellyfish based on multi-linkage mechanism is developed in this paper. The robotic jellyfish consists of a streamlined head, a cavity shell, four driving devices with bevel gears, four actuators based on multi-linkage mechanism, a regulating mechanism for adjusting barycenter and a skin. The four centrosymmetric actuators is used to imitate the locomotion of jellyfish, including the relaxation phase and the contraction phase. The mutually independent and coordinated control of the four actuators is able to achieve diversified movements such as swimming forward, pitching and yawing. As a new type of bio-inspired robots, the robotic jellyfish with high agility, stability and low noise, will serve as a platform for underwater reconnaissance and environmental monitoring.

关键词： Robot kinematics Actuators Electronic mail Laboratories Automation

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A multi-body mass-spring model for virtual reality training simulators based on a robotic guide wire operating system

A multi-body mass-spring model for virtual reality training ...

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IEEE International Conference on Robotics and Biomimetics

作者： Shao-Hua Mi Zeng-Guang Hou Fan Yang Xiao-Liang Xie Gui-Bin Bian State Key Laboratory of Management and Control for Complex Systems the Institute of Automation Chinese Academy of Science Beijing China

ISBN: (纸本)9781479927456

Generally, surgeons of minimally invasive surgery should possess good ability to coordinate their both hands. The manipulation of guide wire is considered a core skill. Obtaining that core skill to perform minimally invasive surgery requires training. In minimally invasive surgery, a surgical robot can assist doctors to position precisely and provide stable operation platform. Therefore, to develop a virtual reality simulators for training purpose based on a robotic guide wire operating system is an important and challenging subject. In this paper, a multi-body mass-spring model for simulating guide wire is presented and evaluated. In order to overcome the disadvantage of using mass-spring approach to model the guide wire, we propose a new collision detection algorithm and a new collision response algorithm. Finally, we test our guide wire with a complex and realistic 3D vascular model, which is selected from computer tomography database of real patients. The result shows that the virtual reality training simulators is effective and promising.

关键词： Wires Solid modeling Force Computational modeling Training Robots Virtual reality

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A general robot environment understanding approach inspired by biological visual cortex

A general robot environment understanding approach inspired ...

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IEEE International Conference on Robotics and Biomimetics

作者： Xilong Liu Zhiqiang Cao Jile Jiao Kun Ai Min Tan State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479927456

A general vision approach for environment understanding of mobile robot is proposed, which is inspired by biological visual cortex. Gray level image from robot camera is firstly processed in the selective attention layer, and then in S and C layers for meaningful structure elements. With the help of the Sc layer designed for endpoints detection, the line segments map is generated to serve as the form of environment understanding results. Experiments on mobile robot are implemented by the task of avoiding obstacles with different sizes and shapes, pits, sharp cliffs, et al. The experimental results demonstrate the adaptability and versatility of the proposed approach.

关键词： Visualization Sensors Object segmentation Collision avoidance Image segmentation Mobile robots

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Bezier curve based path planning for a mobile manipulator in unknown environments

Bezier curve based path planning for a mobile manipulator in...

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IEEE International Conference on Robotics and Biomimetics

作者： Jile Jiao Zhiqiang Cao Peng Zhao Xilong Liu Min Tan State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479927456

This paper presents a collision-free path planning approach based on Bezier curve for a mobile manipulator with the endpoints restricted by the manipulator. Based on these candidate endpoints and the initial posture of mobile manipulator, a series of feasible Bezier paths are obtained with the constraints from velocity, acceleration and environment. And then the optimal collision-free path is determined according to the related information of the path as well as obstacles. The mobile manipulator has the ability to adapt to the environment and the optimal path will be updated once the new detected obstacles block this path. The path planning approach is verified by simulations.

关键词： Manipulators Mobile communication Path planning Sensors Robot kinematics Acceleration

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Particle swarm optimization and its application in multi-robot systems

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Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology) 2013年第SUPPL.2期44卷 126-132页

作者： Ni, Chunbo Kong, Yifei Yang, Yuequan Cao, Zhiqiang Zhang, Tianping College of information Engineering Yangzhou University Yangzhou 225009 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

Particle swarm optimization is a focus on queue control, path optimization, destination search, and so on in multiple robot systems, of which the main idea is that the optimization solution of swarm behaviors are to be obtained through iteration update of velocities and coordinate positions of particles. Based on analysis of particle swarm principle and of mechanism of its main parameters, comparative researches on particle swarm with genetic algorithm, ant colony algorithm, and neural network are given, respectively. Then a survey on research progresses of particle swarm optimization and relative modified new optimization algorithms applied in robot/multi-robot systems is given. Finally, the outlook of future work on particle swarm optimization applied in multi-robot systems under community perception networks is proposed.

关键词： Genetic algorithms

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A spatio-temporal multivariate adaptive regression splines approach for short-term freeway traffic volume prediction

A spatio-temporal multivariate adaptive regression splines a...

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International Conference on Intelligent Transportation

作者： Yanyan Xu Qing-Jie Kong Yuncai Liu Department of Automation Key Laboratory of System Control and Information Processing Shanghai China State Key Laboratory for Management Institute of Automation Beijing China

ISBN: (纸本)9781479929153

Current freeway traffic flow prediction techniques pay attention to time series prediction or introduce the upstream adjacent road segments in the short-term prediction model. In this paper, all of the road segments on the freeway are considered as candidates of the independent variables fed into the prediction model. A spatio-temporal multivariate adaptive regression splines (MARS) approach is proposed for the road network analysis and to predict the short-term traffic volume at the observation stations on the freeway. The actual traffic data are collected from a series of observation stations along a freeway in Portland every 15 minutes. In the first phase, the macroscopic dependency relationships of the stations on the freeway are investigated via MARS method. Subsequently the stations most related to the object station are selected and fed into the MARS prediction model to generate the short-term volume. The experiments are carried out on the actual traffic data and the results indicate that the proposed spatio-temporal MARS model can generate superior prediction accuracy in contrast with the historical data based MARS model, the parametric ARIMA, and the nonparametric PPR methods.

关键词： Predictive models Mars Traffic control Data models Roads Solid modeling

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Vehicle detection method based on active basis model and symmetry in ITS

Vehicle detection method based on active basis model and sym...

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2013 16th International IEEE Conference on Intelligent Transportation systems: Intelligent Transportation systems for All Modes, ITSC 2013

作者： Yao, Yanjie Gang, Xiong Wang, Kunfeng Zhu, Fenghua Wang, Fei-Yue State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of Sciences Beijing 100190 China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Dongguan China

ISBN: (纸本)9781479929146

Vehicle detection is a foundational and significant task in video surveillance systems. In this paper, a vehicle detection method using a deformable model and symmetry is proposed. First, we learn the active basis model (ABM) from the target training sample set by using the shared sketch algorithm. Then, we utilize the edge information obtained by ABM and HSV color information to do symmetry analysis for vehicle objects. The ABM can detect vehicles in various poses, shapes, and sizes for its deformability. By doing edge and color symmetry analysis, subtle difference between two images and environment noises can be adapted. The results of experiments indicate that our approach is capable of detection different vehicles and localization vehicle in bad environment. What's important, the detection results support the capability of the proposed method to enable the introduction of novel intelligent transportation systems applications. © 2013 IEEE.

关键词： Vehicles

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Generalized adaptive dynamic programming algorithm for discrete-time nonlinear systems: Convergence and stability analysis

Generalized adaptive dynamic programming algorithm for discr...

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International Conference on Information Science and Technology (ICIST)

作者： Derong Liu Qinglai Wei State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781467327626

This paper is concerned with a generalized iterative adaptive dynamic programming (ADP) algorithm for discrete-time nonlinear systems. The idea is to use iterative ADP algorithm to obtain iterative control laws which make the iterative performance index function reach the optimum. It is proved that for an arbitrary positive semi-definite function, the iterative performance index functions will converge to the optimum. For different initial functions, it shows that the convergence procedures of the iterative performance index functions are different. Stability properties of the system are analyzed in this paper to show that the iterative control can stabilize the system for suitable initial performance index functions. Admissible control properties of the iterative control laws obtained by the present generalized iterative ADP algorithm are also given in this paper.

关键词： ADP Convergence Stability Analysis Stability analysis Automatic data processing Adenosine Diphosphate Converge performance indicators Iterative control law Optimum Nonlinear systems

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