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Conference Program of WCICA 2012

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<strong>Conference</strong> <strong>Program</strong> <strong>WCICA</strong> <strong>2012</strong><br />

scale-free networks.<br />

◁ PSaA-85<br />

The Site Selection <strong>of</strong> Distribution Center Based on Linear <strong>Program</strong>ming<br />

Transportation Method, pp.3538–3542<br />

Liu, Xiaohui<br />

Beihua Univ.<br />

The distribution center has a tight with the supply point and demand<br />

point which are significant in logistics system. A better site selection <strong>of</strong><br />

distribution center has an important impact on the improvement <strong>of</strong> logistics<br />

economy benefit. This paper analyzes the common site selection<br />

methods <strong>of</strong> distribution center, such as Kuehn-Hamburger Model, Cluster<br />

Algorithm, Analytic Hierarchy Process, and Genetic Algorithm. It uses<br />

linear programming transportation method to select site through the<br />

research and comparison <strong>of</strong> site selection method <strong>of</strong> distribution center.<br />

The paper introduces the site selection steps <strong>of</strong> linear programming<br />

transportation method. Based on the construction <strong>of</strong> logistics network<br />

schema <strong>of</strong> linear programming transportation method, it takes into account<br />

the factors such as relation between supply and demand, freight<br />

rates, transportation distance and the expense <strong>of</strong> the distribution center.<br />

It analyzes and solves by using linear programming transportation<br />

method and ultimately assume the proposal <strong>of</strong> site selection <strong>of</strong> distribution<br />

center. This proposal has a widespread value <strong>of</strong> popularization<br />

and practice.<br />

◁ PSaA-86<br />

S<strong>of</strong>t Tissue Deformation ANSYS Simulation <strong>of</strong> Robot-Assisted Percutaneous<br />

Surgery, pp.3561–3566<br />

Zhao, Chengtao<br />

Zeng, Qingjun<br />

Liu, Haixia<br />

Jiangsu Univ. <strong>of</strong> Sci. & Tech.<br />

Jiangsu Univ. <strong>of</strong> Sci. & Tech.<br />

Jiangsu Univ. <strong>of</strong> Sci. & Tech.<br />

In order to reduce deflection <strong>of</strong> the stabbing needle and increase the<br />

accuracy <strong>of</strong> the robot-assisted needle insertion into s<strong>of</strong>t tissue, A physical<br />

model <strong>of</strong> stabbing needle is built with elastic beam. We put forward<br />

a algorithm to analyze force added on stabbing needle and got<br />

the deflection and angle <strong>of</strong> element node. The theoretical calculation<br />

and experimental simulation shows the validation and consistency <strong>of</strong><br />

the algorithm. The dynamic process <strong>of</strong> the s<strong>of</strong>t tissue deformation during<br />

needle insertion is decomposed into a set <strong>of</strong> discrete quasi-static<br />

stages. We got every note’s displacement and force distribution <strong>of</strong><br />

the s<strong>of</strong>t tissue by simulating needle insertion into two and three dimensional<br />

tissue, which provide significant reference with predicting s<strong>of</strong>t<br />

tissue deformation and planning before surgery.<br />

◁ PSaA-87<br />

Adaptive Neural Network Control <strong>of</strong> an Aerial Work Platform’s arm,<br />

pp.3567–3570<br />

Jia, Pengxiao<br />

Beijing Forestry Univ.<br />

An aerial work platform (AWP) is a type <strong>of</strong> <strong>of</strong>f highway vehicle with a<br />

long beam to provide temporary access to inaccessible areas.The motivation<br />

<strong>of</strong> the research is to increase its productivity, safety and reduce<br />

the manipulation complexity during the operation process. In this paper,<br />

a simplified two-link model <strong>of</strong> AWP’s arm is given. The control<br />

scheme based on neural network modeling technology is employed to<br />

steer the AWP’s arm to track the desired trajectories asymptotically,<br />

which requires neither the evaluation <strong>of</strong> inverse dynamical model nor<br />

the time-consuming training process. The simulation results validate<br />

the effectiveness <strong>of</strong> the proposed approach.<br />

◁ PSaA-88<br />

PSO-based Parameters Opatimization <strong>of</strong> Multi-Robots Formation Control<br />

in Unknown Enviroment , pp.3571–3576<br />

Liu, Qiang<br />

Ma, Jiachen<br />

Harbin Inst. <strong>of</strong> Tech.<br />

Harbin Inst. <strong>of</strong> Tech.<br />

This paper proposed a PSO-based algorithm for parameters optimization<br />

<strong>of</strong> multi-robot formation navigation in unknown environment.<br />

In order to achieve formation navigation in unknown environment,<br />

each robot in formation adopts motor schema-based reactive control<br />

architecture which has four primitive behaviors called move to goal,<br />

keep formation, avoid static obstacle and avoid robot behaviors.The<br />

behavior output to direct the movement <strong>of</strong> robot is made by the combination<br />

<strong>of</strong> four primitive behaviors. Particle Swarm Optimization algorithm<br />

as an unsupervised learning method for a reactive control architecture<br />

greatly reduces the effort required to configure reactive control<br />

parameters <strong>of</strong> multi-robot formation system. The validity <strong>of</strong> this method<br />

is verified through computer simulations in different types <strong>of</strong> in environments<br />

by robot simulation s<strong>of</strong>tware MissionLab.<br />

◁ PSaA-89<br />

A Novel Inverse Dynamics Control Strategy with Different Phases for<br />

the Quadruped Robot, pp.3601–3606<br />

Li, Bin<br />

Shao, Xuesong<br />

Wang, Wei<br />

Guo, Yajuan<br />

Yi, Jian-qiang<br />

Jiangsu Electric Power Company<br />

Chinese Acad. <strong>of</strong> Sci.<br />

Chinese Acad. <strong>of</strong> Sci.<br />

Jiangsu Electric Power Company<br />

Inst. <strong>of</strong> automation, chinese Acad. <strong>of</strong> Sci.<br />

Aiming to reduce the computation and implement compliant control,<br />

this paper proposes a novel inverse dynamics control strategy based<br />

on the floating-base rigid body system. The control strategy assumes<br />

that each leg <strong>of</strong> the quadruped robot organizes itself into an independent<br />

autonomous system, a serial robot. Based on this assumption,<br />

the kinematics and the dynamics models <strong>of</strong> the quadruped robot have<br />

been created. The dynamical model supposes two different models according<br />

to the leg’s state. In the stance phase the serial robot affixes<br />

its base frame to the shank and iterates the rigid body dynamics algorithms<br />

from the knee joint to the body. When the serial robot is in the<br />

swing phase, the dynamics algorithm is propagated from the hip joint to<br />

the shank, whose computing direction is just the reverse against the direction<br />

<strong>of</strong> which the serial robot is in the stance phase. The quadruped<br />

system doesn’t need the fixed base to the system and avoids calculating<br />

the virtual joints <strong>of</strong> 6-DOF. Therefore, the algorithm proposed in this<br />

paper makes real-time computation <strong>of</strong> the quadruped robot dynamics<br />

possible. In order to evaluate the efficiency <strong>of</strong> the inverse dynamical<br />

control strategy, experiments are accomplished based on a practical<br />

quadruped robot. The experiments, which were done on a rubber mat<br />

and on asphalt, demonstrated that the quadruped robot is able to walk<br />

adaptively.<br />

◁ PSaA-90<br />

Formation Control for Multiple Robots in Uncertain Environments,<br />

pp.3607–3610<br />

Li, Li<br />

Yang, Li<br />

Li, Bing<br />

Tianjin Univ. <strong>of</strong> Tech. & Education<br />

Tianjin Univ. <strong>of</strong> Tech. & Education<br />

Tianjin Univ. <strong>of</strong> Tech. & Education<br />

A formation control approach for multiple robots in uncertain environments<br />

is proposed, which adopts the formation parameter matrix to establish<br />

the relative relationship among robots, decomposes the globallevel<br />

formation control problem into the-<strong>of</strong>f-axis point <strong>of</strong> the follower<br />

tracking the-<strong>of</strong>f-axis point on the virtual robot which has the same orientation<br />

with the lead robot and maintains a desired relative distance and<br />

desired observation angle with respect to its lead robot, and designs<br />

the tracking control law. Simulation results are given to demonstrate<br />

the feasibility and effectiveness <strong>of</strong> the approach.<br />

◁ PSaA-91<br />

Research On Teleoperation for DFFSR Without Time Delay Based on<br />

Virtual Reality, pp.3611–3616<br />

Li, Huazhong<br />

Shenzhen Inst. <strong>of</strong> Information Tech.<br />

Virtual modeling and simulation technology about teleoperation without<br />

time delay for Dual-arm Free Flying Space Robots (DFFSR) have been<br />

mainly researched. First, present research situation on teleoperation<br />

time delay problem has been described. Then, solution to time delay<br />

based on Virtual Reality (VR) Preview technology has been presented.<br />

Finally, teleoperation system for DFFSR without time delay based on<br />

VR has been developed and simulation experiment has been carried<br />

on. The simulation results show that VR technology has taken very<br />

much important play in effectively overcoming problem <strong>of</strong> teleoperation<br />

time delay for DFFSR.<br />

178

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