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Fusion of biomedical microcapsule endoscope and microsystem technology

Fusion of biomedical microcapsule endoscope and microsystem ...

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International Conference on Solid State Sensors and Actuators (TRANSDUCERS)

作者： Tae Song Kim Byungkyu Kim Dongil Dan Cho Si Young Song P. Dario M. Sitti Microsyst. Res. Center Korean Inst. of Sci. & Technol. South Korea Microsystem Research Center Korean Institute of Science and Technology South Korea School of Electrical Engineering and Computer Science ERC-NBS ISRC ASH Seoul National University South Korea College of Medicine Yonsei University South Korea CRIM Laboratory Polo SantAnna Valdera Scuola Superiore Sant'' Anna Italy NanoRobotics Laboratory Mechanical Engineering Department Carnegie Mellon University USA

Wireless endoscopic capsules as a novel non-invasive imaging device could be realized through the integration of wireless communication and microsystem technologies. These capsules would open many new health-care opportunities for the diagnosis and treatment of digestive system diseases non-invasively and efficiently. This paper describes our recent research activities which are aimed to enable more functional and controllable robotic endoscopic capsules by the fusion of biomedical, microsystem, and robotics technologies.

关键词： Endoscopes Biopsy CMOS technology Wireless sensor networks Biomedical imaging Surges Gastrointestinal tract Intelligent sensors Digestive system Robots

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A high gain multiple time-scaling technique for global control of nonlinear systems

A high gain multiple time-scaling technique for global contr...

引用

American Control Conference (ACC)

作者： P. Krishnamurthy F. Khorrami Control/Robotics Research Laboratory(CRRL) Department of Electrical and Computer Engineering Polytechnic University Brooklyn NY USA

We consider a general high-gain scaling technique for global control of strict-feedback-like systems. Unlike previous results, the scaling utilizes arbitrary powers (instead of requiring successive powers) of the high gain parameter with the powers chosen to satisfy certain inequalities depending on system nonlinearities. The scaling induces a weak-cascading upper diagonal dominance (w-CUDD) structure on the dynamics. The analysis is based on our recent results on the w-CUDD property and uniform solvability of coupled state-dependent Lyapunov equations. The proposed scaling provides extensions in both state-feedback and output-feedback cases. The state-feedback problem is solved for a class of systems with certain ratios of nonlinear terms being polynomially bounded. The controller has a simple form being essentially linear with state-dependent dynamic gains and does not involve recursive computations. In the output-feedback case, the scaling technique is applied to the design of the observer which is then coupled with a backstepping controller. The results relax the assumption in our earlier papers on cascading dominance of upper diagonal terms. However, since the required upper diagonal cascading dominance in observer and controller contexts are dual, it is not possible to use a dual high-gain observer/controller in the proposed design preventing the bounds on uncertain functions from being of the more general form in our earlier work. A topic of further research is to examine the possibility of a scaling (perhaps utilizing more than one high gain parameter) that achieves bidirectional cascading dominance.

关键词： Nonlinear control systems Control systems Nonlinear systems Backstepping Linear matrix inequalities Riccati equations Robot control Laboratories Power engineering computing Power engineering and energy

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Conditions for uniform solvability of parameter-dependent Lyapunov equations with applications

Conditions for uniform solvability of parameter-dependent Ly...

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American Control Conference (ACC)

作者： P. Krishnamurthy F. Khorrami Control/Robotics Research Laboratory(CRRL) Department of Electrical and Computer Engineering Polytechnic University Brooklyn NY USA

We consider the problem of finding a common quadratic Lyapunov function to demonstrate stability of a family of matrices which incorporate design freedoms. Generically, this can be viewed as picking a family of controller (or observer) gains so that the family of closed-loop system matrices admits a common Lyapunov function. We provide several conditions, necessary and sufficient, for various structures of matrix families. Families of matrices containing a subset of diagonal matrices invariant under the design freedoms is also considered since this is a case that occurs in many applications. Conditions for uniform solvability of the Lyapunov equations are explicitly given and involve inequalities regarding relative magnitudes of terms in the matrices. Motivating applications of the obtained results to observer and controller designs for time-varying, switched, and nonlinear systems are highlighted.

关键词： Equations Symmetric matrices Application software Lyapunov method Control systems Time varying systems Nonlinear systems Robot control Laboratories Design engineering

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Localization of simultaneous moving sound sources for mobile robot using a frequency- domain steered beamformer approach

Localization of simultaneous moving sound sources for mobile...

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IEEE International Conference on robotics and Automation (ICRA)

作者： J.-M. Valin F. Michaud B. Hadjou J. Rouat LABORIUS-Research Laboratory on Mobile Robotics and Intelligent Systems Department of Electrical Engineering and Computer Engineering Université de Sherbrook Sherbrooke QUE Canada

Mobile robots in real-life settings would benefit from being able to localize sound sources. Such a capability can nicely complement vision to help localize a person or an interesting event in the environment, and also to provide enhanced processing for other capabilities such as speech recognition. We present a robust sound source localization method in three-dimensional space using an array of 8 microphones. The method is based on a frequency-domain implementation of a steered beamformer along with a probabilistic post-processor. Results show that a mobile robot can localize in real time multiple moving sources of different types over a range of 5 meters with a response time of 200 ms.

关键词： Mobile robots Auditory system Orbital robotics Intelligent robots Head Acoustic noise Humans Robustness Microphone arrays Signal processing

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Enhanced robot audition based on microphone array source separation with post-filter

Enhanced robot audition based on microphone array source sep...

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IEEE International Workshop on Intelligent Robots and Systems (IROS)

作者： J.-M. Valin J. Rouat F. Michaud Department of Electrical Engineering and Computer Engineering LABORIUS-Research Laboratory on Mobile Robotics and Intelligent Systems Université de Sherbrook Sherbrooke QUE Canada

We propose a system that gives a mobile robot the ability to separate simultaneous sound sources. A microphone array is used along with a real-time dedicated implementation of geometric source separation and a post-filter that gives us a further reduction of interferences from other sources. We present results and comparisons for separation of multiple non-stationary speech sources combined with noise sources. The main advantage of our approach for mobile robots resides in the fact that both the frequency domain geometric source separation algorithm and the post-filter are able to adapt rapidly to new sources and non-stationarity. Separation results are presented for three simultaneous interfering speakers in the presence of noise. A reduction of log spectral distortion (LSD) and increase of signal-to-noise ratio (SNR) of approximately 10 dB and 14 dB are observed.

关键词： Microphone arrays Source separation Mobile robots Acoustic noise Auditory system Humans Intelligent robots Interference Robot sensing systems Mobile computing

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Global adaptive control of feedforward systems using dynamic high gain scaling

Global adaptive control of feedforward systems using dynamic...

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American Control Conference (ACC)

作者： P. Krishnamurthy P. Khorrami Contml/Robotics Research Laboratory (CRRL) Department of Electrical and Computer Engineering Six Metrotech Center Polytechnic University Brooklyn NY USA

We propose an adaptive control design technique for feedforward systems based on our results on dynamic high-gain scaling techniques for controller design for strict-feedback-type systems. Both the state-feedback and the output-feedback cases are considered. The system is allowed to contain uncertain functions of all the states even in the output-feedback case. Unknown parameters are allowed in the bounds assumed on the uncertain functions appearing in the dynamics. The designed controllers have a very simple structure being essentially a linear feedback with state-dependent dynamic gains and do not involve any saturations or recursive computations. The observer in the output-feedback case is similar to a Luenberger observer with dynamic observer gains. The Lyapunov functions are quadratic in the states and the parameter estimation errors (and the observer errors in the case of output-feedback). The stability analysis is based on our recent results on uniform solvability of coupled state-dependent Lyapunov equations. The controller design provides strong robustness properties both with respect to uncertain parameters in the system model and additive disturbances. This robustness is the key to the output-feedback controller design.

关键词： Adaptive control Feedforward systems Observers Robust control Control systems Linear feedback control systems State feedback Lyapunov method Parameter estimation Stability analysis

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Dynamic high gain scaling: an application to robust adaptive output feedback for feedforward systems

Dynamic high gain scaling: an application to robust adaptive...

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Asian Control Conference

作者： P. Krishnamurthy F. Khorrami Control/Robotics Research Laboratory (CRRL) Department of Electrical and Computer Engineering Six Metrotech Center Polytechnic University Brooklyn NY USA

We propose an adaptive output feedback control design for global asymptotic stabilization of feedforward systems based on our recent results on dynamic high gain scaling based controller design for strict-feedback systems. The system is allowed to contain uncertain functions of all the states and the input as long as they satisfy certain bounds. Unknown parameters are allowed in the bounds assumed on uncertain functions. If the uncertain functions involve the input, then the output-dependent functions in the bounds need to be polynomially bounded. It is also shown that if the uncertain functions can be bounded by a function independent of the input, then the polynomial boundedness requirement can be relaxed. The designed controllers have a simple structure being essentially a linear feedback with state-dependent dynamic gains and do not involve any saturations or recursive computations. The observer utilized to estimate unmeasured states is similar to a Luenberger observer with dynamic observer gains. The Lyapunov functions are quadratic in state estimates, observer errors, and parameter estimation error. The stability analysis is based on our recent results on uniform solvability of coupled state-dependent Lyapunov equations. The controller provides strong robustness properties both with respect to uncertain parameters and additive disturbances. This robustness is the key to the output feedback controller design.

关键词： Robustness Output feedback Feedforward systems Observers Polynomials State estimation Robust control Programmable control Adaptive control Control design

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Fusion of visual, thermal, and range as a solution to illumination and pose restrictions in face recognition

Fusion of visual, thermal, and range as a solution to illumi...

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International Carnahan Conference on Security Technology

作者： B. Abidi S. Huq M. Abidi Imaging Robotics and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Tennessee Knoxville TN USA

This paper summarizes the various components of face recognition research conducted at the IRIS Lab. First, fusion of visual and thermal infrared (IR) images for robust face recognition is discussed. Two techniques are implemented: data fusion and decision fusion. With the knowledge that eyeglasses block the emission of thermal energy, an algorithm is designed to detect and replace eyeglasses with an eye template in thermal images. A commercial face recognition software (FaceIt/spl reg/) is used in the evaluation of the various fusion algorithms. Comparison results show that fusion-based face recognition outperforms individual visual or thermal face recognizers under illumination variations and facial expressions. Efforts in the 3D arena are also described. Results of high resolution stereo-based 3D reconstruction of faces are shown and analyzed, in a first approach, then in a second approach, a warping technique is applied to overlay color and thermal textures on 3D mannequin head models, obtained using a laser range scanner.

关键词： Lighting Face recognition Face detection Iris Infrared imaging Robustness Algorithm design and analysis Software algorithms Image reconstruction Image color analysis

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An intelligent system for Aerial image Retrieval and Classification

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3rd Hellenic Conference on Artificial Intelligence, SETN 2004

作者： Gasteratos, Antonios Zafeiridis, Panagiotis Andreadis, Ioannis Laboratory of Robotics and Automation Section of Production Systems Department of Production and Management Engineering Democritus University of Thrace Building of University’s Library Kimmeria XanthiGR-671 00 Greece Laboratory of Electronics Section of Electronics and Information Systems Technology Department of Electrical and Computer Engineering Democritus University of Thrace Vassilisis Sophias 12 XanthiGR-671 00 Greece

ISBN: (纸本)3540219374

Content based image retrieval is an active research area of pattern recognition. A new method of extracting global texture energy descriptors is proposed and it is combined with features describing the color aspect of texture, suitable for image retrieval. The same features are also used for image classification, by its semantic content. An exemplar fuzzy system for aerial image retrieval and classification is proposed. The fuzzy system calculates the degree that a class, such as sea, clouds, desert, forests and plantations, participates in the input image. Target applications include remote sensing, computer vision, forestry, fishery, agricultures, oceanography and weather forecasting. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Fuzzy systems

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Autonomous controller design for unmanned aerial vehicles using multi-objective genetic programming

Autonomous controller design for unmanned aerial vehicles us...

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Congress on Evolutionary Computation

作者： C.K. Oh G.J. Barlow US Naval Research Laboratory Washington D.C. DC USA Center for Robotics and Intelligent Machines Department of Electrical and Computer Engineering North Carolina State University Raleigh NC USA

Autonomous navigation controllers were developed for fixed wing unmanned aerial vehicle (UAV) applications using multiobjective genetic programming (GP). We designed four fitness functions derived from flight simulations and used multiobjective GP to evolve controllers able to locate a radar source, navigate the UAV to the source efficiently using on-board sensor measurements, and circle closely around the emitter. Controllers were evolved for three different kinds of radars: stationary, continuously emitting radars, stationary, intermittently emitting radars, and mobile, continuously emitting radars. We selected realistic flight parameters and sensor inputs to aid in the transference of evolved controllers to physical UAVs.

关键词： Unmanned aerial vehicles Genetic programming Erbium Robot kinematics Robot control Automatic control Radar Intelligent robots Mobile robots Navigation

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