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International Conference on control, Instrumentation, and Automation

作者： Hamed Kazemi Vahid Johari Majd Majid M. Moghaddam Intelligent Control Systems Laboratory School of Electrical and Computer Engineering Tarbiat Moalem University Tehran Iran Intelligent Control Systems Laboratory Tarbiat Modares University Tehran Iran Robotics and Mechatronics Laboratory Mechanical Engineering Department Tarbiat Moalem University Tehran Iran Mechanical Engineering Department Tarbiat Modares University Tehran Iran

In this paper, a quadruped robot is studied in bounding motion. A new simplified model of quadruped robot in bounding motion with four actuated and two unactuated joints is developed. The kinetic and potential energies of the under-actuated mechanical model of the quadruped robot are obtained and the dynamics of the robot model is derived using the Lagrangian method. It is shown that the dynamical equation of the proposed simplified model belongs to a class of second-order nonholonomic mechanical systems. The main motivation of this paper is to obtain quadruped model in bounding motion such that one can apply different control methods directly or after transformation in the obtained dynamic equations. Utilizing MATLAB, dynamics of the planar model has been simulated in backward and forward states. Physical parameters of the Little-Dog robot as an instance of the quadruped robot are considered in simulation The simulation is without control and therefore is unstable but it illustrates robot's manner in bounding motion before instability.

关键词： Mathematical model Legged locomotion Dynamics Equations Joints Robot kinematics

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MRI magnetic signature imaging, tracking and navigation for targeted micro/nano-capsule therapeutics

MRI magnetic signature imaging, tracking and navigation for ...

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2011 IEEE/RSJ International Conference on intelligent Robots and systems

作者： David Folio Christian Dahmen Tim Wortmann M. Arif Zeeshan Kaiyu Shou Salvador Pané Bradley J. Nelson Antoine Ferreira Sergej Fatikow Laboratoire PRISME ENSI de Bourges Bourges France Division Microrobotics and Control Engineering University of Oldenburg Oldenburg Germany Multi-Scale Robotics Laboratory Institute of Robotics and Intelligent Systems ETH Zurich Zurich Switzerland

The propulsion of nano-ferromagnetic objects by means of MRI gradients is a promising approach to enable new forms of therapy. In this work, necessary techniques are presented to make this approach work. This includes path planning algorithms working on MRI data, ferromagnetic artifact imaging and a tracking algorithm which delivers position feedback for the microdevice and a propulsion sequence to enable interleaved magnetic propulsion and imaging. Using a dedicated software environment integrating path-planning methods and real-time tracking, a clinical MRI system is adapted to provide this new functionality for potential controlled interventional targeted therapeutic applications. Through MRI-based sensing analysis, this paper aims to propose a framework to plan a robust pathway to enhance the navigation ability to reach deep locations in human body. The proposed approaches are validated with different experiments.

关键词： Magnetic resonance imaging Navigation Target tracking Uncertainty Planning Sensors

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Real-time co-operative decision making & control systems

Real-time co-operative decision making & control systems

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XXII International Symposium on Information, Communication and Automation Technologies, ICAT

作者： Ljubo B. Vlacic Daniel I. Thomas Joshué Pérez Intelligent Control Systems Laboratory (ICSL) Griffith University Brisbane Australia Technology One Limited Brisbane Australia Centre of Automation and Robotics University Polytechnic of Madrid Madrid Spain

Learning and adaptability (and thus the ability of being co-operative) are important features of decision & control systems. This paper investigates decision making and control concepts that enable human beings and artificial beings to interact and co-operate in real time in a dynamic and reliable way. It examines the aspects of being co-operative and substitutable in the context of: (i) co-operative driving by driverless vehicles; and (ii) computer game play scenarios for collaborative and social interactions.

关键词： Humans Games Decision making Collaboration Computers control systems Robots

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Modified Banker's algorithm for scheduling in multi-AGV systems

Modified Banker's algorithm for scheduling in multi-AGV syst...

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IEEE International Conference on Automation Science and Engineering (CASE)

作者： Luka Kalinovcic Tamara Petrovic Stjepan Bogdan Vedran Bobanac Laboratory for Robotics and Intelligent Control Systems Department of Control and Computer Engineering Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia Laboratory for Renewable Energy Sources Department of Control and Computer Engineering Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia

In today's highly complex multi-AGV systems key research objective is finding a scheduling and routing policy that avoids deadlock while assuring that vehicle utilization is as high as possible. It is well known that finding such an optimal policy is a NP-hard task in general case. Therefore, big part of the research is oriented towards finding various suboptimal policies that can be applied to real world plants. In this paper we propose modified Banker's algorithm for scheduling in multi-AGV systems. A predetermined mission's path is executed in a way that some non-safe states are allowed in order to achieve better utilization of vehicles. A graph-based method of polynomial complexity for verification of these states is given. Algorithm is tested on a layout of a real plant for packing and warehousing palettes. Results shown at the end of the paper demonstrate advantages of the proposed method compared with other methods based on Banker's algorithm.

关键词： Vehicles System recovery Layout Resource management Job shop scheduling Workstations

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Agent self-assessment: Determining policy quality without execution

Agent self-assessment: Determining policy quality without ex...

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IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, (ADPRL)

作者： Alexander Hans Siegmund Duell Steffen Udluft Neuroinformatics and Cognitive Robotics Laboratory Ilmenau University of Technology Ilmenau Germany Machine Learning Group Berlin Institute of Technology Berlin Germany Intelligent Systems and Control Siemens AG Munich Germany

With the development of data-efficient reinforcement learning (RL) methods, a promising data-driven solution for optimal control of complex technical systems has become available. For the application of RL to a technical system, it is usually required to evaluate a policy before actually applying it to ensure it operates the system safely and within required performance bounds. In benchmark applications one can use the system dynamics directly to measure the policy quality. In real applications, however, this might be too expensive or even impossible. Being unable to evaluate the policy without using the actual system hinders the application of RL to autonomous controllers. As a first step toward agent self-assessment, we deal with discrete MDPs in this paper. We propose to use the value function along with its uncertainty to assess a policy's quality and show that, when dealing with an MDP estimated from observations, the value function itself can be misleading. We address this problem by determining the value function's uncertainty through uncertainty propagation and evaluate the approach using a number of benchmark applications.

关键词： Uncertainty Equations Markov processes Benchmark testing Approximation algorithms Machine learning Histograms

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Approximate Recursive Bayesian Filtering Methods for Robot Visual Search

Approximate Recursive Bayesian Filtering Methods for Robot V...

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IEEE International Conference on robotics and Biomimetics

作者： Sina Radmard Elizabeth A. Croft Collaborative Advanced Robotics and Intelligent Systems Laboratory Mechanical Engineering Department University of British Columbia

ISBN: (纸本)9781457721366

Visual servoing is an essential enabling technology for robots operating in semi- and un-structured contexts, such as robot assistants working in collaboration with people. However, due to dynamic and unpredictable nature of such environments, existing methods of target tracking can lose visibility of task/target, leading to servo failure. In such situations, it is desirable that the robot reacquire the target in an autonomous/automatic fashion. In this paper we take a fresh look at this problem by examining the simplified case of a pantilt mounted camera visually searching for a lost target. We adopt Lost Target Search techniques based on Recursive Bayesian Filtering algorithms that have been applied to other search platforms such as aerial search and rescue. We investigated both an approximate grid-based filter and a sequential Monte Carlo method, namely particle filter. In both cases we use a new sensor-based observation model. The particle filter exhibited superior performance over approximate grid-based filter in our simulations, and was utilized in a follow-on experiment. In the experiment, we improved the particle filter performance by considering the a priori target tracking information in the motion model. Finally, we discuss the implications of this approach to higher degree of freedom robot systems.

关键词： Robot Particle filters Bayesian filtering Target tracking Visual servoing Recursive Approximate Visual Search Targets Monte Carlo technique

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Lag Quasi-Synchronization of Coupled Delayed systems With Parameter Mismatch

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IEEE Transactions on Circuits and systems I: Regular Papers 2011年第6期58卷 1345-1357页

作者： Wangli He Feng Qian Qing-Long Han Jinde Cao Key Laboratory of Advanced Control and Optimization of Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China Centre of Intelligent and Networked Systems and the School of Information and Communication Technology Central Queensland University Rockhampton QLD Australia Department of Mathematics South-East University Nanjing China

This paper is concerned with lag synchronization of two coupled delayed systems with parameter mismatch. Due to parameter mismatch, complete lag synchronization can not be achieved. Therefore, a new lag quasi-synchronization scheme is proposed to ensure that coupled systems are in a state of lag synchronization with an error level. Several simple criteria are derived and the error level is estimated by applying a generalized Halanary inequality and matrix measure. Three examples are given to illustrate the effectiveness of the proposed lag quasi-synchronization scheme. It is shown that as the coupling strength increases, the estimated error level is close to the simulated one, which well supports theoretical results.

关键词： Synchronization Measurement uncertainty Delay Linear matrix inequalities Trajectory Delay effects Couplings

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Video vehicle detection through multiple background-based features and statistical learning

Video vehicle detection through multiple background-based fe...

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International Conference on intelligent Transportation

作者： Mingxia Sun Kunfeng Wang Ming Tang Fei-Yue Wang Jinfeng Yang Tianjin Key Laboratory of Advanced Signal Processing Civil Aviation University of China Tianjin China State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences (CAS) Beijing China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences (CAS) Beijing China

This paper presents a generic video vehicle detection approach through multiple background-based features and statistical learning. The main idea is to configure several virtual loops (as detection zones) on the image, assuming moving vehicles may cause pixel intensities and local texture to change, and then by identifying such pixel changes to detect vehicles. In this research, multiple pattern classifiers including LDA + Adaboost, SVM, and Random Forests are used to detect vehicles that are passing through virtual loops. We extract fourteen pattern features (related to foreground area, texture change, and luminance and contrast in the local virtual loop zone and the global image) to train pattern classifiers and then detect vehicles. As experimental results illustrate, the proposed approach is quite robust to detect vehicles under complex dynamic environments, and thus is able to improve the accuracy of traffic data collection in all weather for long term.

关键词： Vehicles Feature extraction Training Image edge detection Vehicle detection Meteorology Radio frequency

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Enhancing student learning: On-line interactive laboratory for modelling of real world control system applications

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IFAC Proceedings Volumes 2011年第1期44卷 7268-7273页

作者： Joshué Pérez Sebastián Dormido Ljubo Vlacic Centre of Automation and Robotics (CAR) University Polytechnic of Madrid (UPM) – Spanish National Research Council (CSIC) Madrid Spain Dep. Informática y Automática Escuela Técnica Superior de Ingeniería Informática Universidad Nacional de Educación a Distancia Madrid Spain Intelligent Control Systems Laboratory Griffith University Brisbane Australia

Abstract Teaching an introductory course on control systems to undergraduate students often seeks elaborations on real engineering world control system applications to assist students in grasping theoretical concepts. In this paper, the newly developed animated and interactive control systems tutorials are presented. The paper shows that this teaching approach helps students in bridging the gap between the classical control techniques and the real world applications. The course evaluations undertaken since the time of the inclusion of the animated tutorials into the teaching process clearly show the learning improvement gained, reflected in increased average scores, and reduced course fail grade.

关键词： Interactive control system tutorials Interactive teaching tools Animation Distance Education

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Impulsive synchronization of two nonidentical chaotic systems with time-varying delay

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Physics Letters A 2011年第3期375卷 498-504页

作者： Wangli He Feng Qian Jinde Cao Qing-Long Han The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China Centre for Intelligent and Networked Systems Central Queensland University Rockhampton QLD 4702 Australia School of Information and Communication Technology Central Queensland University Rockhampton QLD 4702 Australia Department of Mathematics Southeast University Nanjing 210096 China

This Letter investigates synchronization of two nonidentical Lur'e systems with time-varying delay and parameter mismatches via impulsive control. Based on the theory of impulsive functional differential equations, sufficient conditions for impulsive synchronization with a bound on the synchronization error are derived. An illustrative example is provided to validate the proposed method.

关键词： Impulsive synchronization Impulsive control Nonidentical chaotic systems Time-varying delay

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