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IEEE International Conference on Pervasive Computing and Communications (PerCom)

作者： Jadwiga Indulska Claudio Bettini Roy Campbell Cecilia Mascolo Centro E. Piaggio and the Department of Information Engineering University of Pisa Pisa Italy Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge MA USA “Soft Robotics for Human Cooperation and Rehabilitation” Lab Istituto Italiano di Tecnologia Genoa Italy

A warm welcome to the Ninth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom 2011). We are very excited to introduce you to the technical program of our conference that this year includes 27 papers representing high-quality research conducted over the broad spectrum of topics related to pervasive computing.

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Reports of the AAAI 2010 spring symposia

Reports of the AAAI 2010 spring symposia

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作者： Barkowsky, Thomas Bertel, Sven Broz, Frank Chaudhri, Vinay K. Eagle, Nathan Genesereth, Michael Halpin, Harry Hamner, Emily Hoffmann, Gabe Hölscher, Christoph Horvitz, Eric Lauwers, Tom McGuinness, Deborah L. Michalowski, Marek Mower, Emily Shipley, Thomas F. Stubbs, Kristen Vogl, Roland Williams, Mary-Anne Cognitive Systems Group University of Bremen Research Center SFB/TR 8 Spatial Cognition Germany Human Factors Division Beckman Institute for Advanced Science and Technology University of Illinois Urbana-Champaign IL United States Adaptive Systems Research Group Computer Science Department University of Hertfordshire United Kingdom Artificial Intelligence Center at SRI International United States Txteagle Inc. MIT Media Laboratory United States Computer Science Department Stanford University United States University of Edinburgh United Kingdom Robotics Institute Carnegie Mellon University United States Palo Alto Research Center United States Center for Cognitive Science University of Freiburg Germany CREATE lab Carnegie Mellon Robotics Institute United States Rensselaer Polytechnic Institute United States University of Southern California United States Department of Psychology Temple University Spatial Intelligence and Learning Center United States IRobot Corporation United States Stanford Program in Law Science and Technology Stanford University Law School United States Innovation and Enterprise Research Laboratory University of Technology Sydney Australia

The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's Department of computer Science, presented the 2010 Spring Symposium Series Monday through Wednesday, March 22-24, 2010, at Stanford University. The titles of the seven symposia were Artificial Intelligence for Development;Cognitive Shape Processing;Educational robotics and Beyond: Design and Evaluation;Embedded Reasoning: Intelligence in Embedded Systems;Intelligent Information Privacy Management;It's All in the Timing: Representing and Reasoning about Time in Interactive Behavior;and Linked Data Meets Artificial Intelligence. Copyright © 2010.

关键词： Embedded systems

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Haptic terrain classification for legged robots

Haptic terrain classification for legged robots

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IEEE International Conference on robotics and Automation (ICRA)

作者： Mark A. Hoepflinger C. David Remy Marco Hutter Luciano Spinello Roland Siegwart Autonomous Systems Lab Institute of Robotics and Intelligent Systems Swiss Federal Institute of Technology ETH Zurich Zurich Switzerland Social Robotics Lab Department of Computer Science University of Freiburg Freiberg Germany

In this paper, we are presenting a method to estimate terrain properties (such as small-scale geometry or surface friction) to improve the assessment of stability and the guiding of foot placement of legged robots in rough terrain. Haptic feedback, expressed through joint motor currents and ground contact force measurements that arises when prescribing a predefined motion was collected for a variety of ground samples (four different shapes and four different surface properties). Features were extracted from this data and used for training and classification by a multiclass AdaBoost machine learning algorithm. In a single leg testbed, the algorithm could correctly classify about 94% of the terrain shapes, and about 73% of the surface samples.

关键词： Haptic interfaces Legged locomotion Rough surfaces Surface roughness Machine learning algorithms Computational geometry Friction Stability Foot Force feedback

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Adaptive predictive control of a class of discrete-time MIMO nonlinear systems with uncertain couplings

Adaptive predictive control of a class of discrete-time MIMO...

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作者： Yang, Chenguang Li, Yanan Ge, Shuzhi Sam Lee, Tong Heng Department of Bioengineering Imperial College London London SW7 2AZ United Kingdom Social Robotics Lab Interactive Digital Media Institute and Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Singapore Institute of Intelligent Systems University of Electronic Science and Technology of China Chengdu 610054 China

ISBN: (纸本)9781424474264

In this paper, a novel adaptive predictive control is presented for a class of multi-input-multi-output (MIMO) nonlinear systems in block-triangular form with uncertain couplings of states/delayed states as well as inputs among subsystems. For each subsystem of the MIMO system, future states prediction is developed and using the predicted future states, adaptive predictive control is designed under certainty equivalence principal to compensate the parametric uncertainties in the couplings. To eliminate the functional uncertainties in the couplings, a novel compensation mechanism is developed for each subsystem. Under the proposed adaptive controls, all the signals in the closed-loop MIMO systems are guaranteed to be globally bounded. In addition, all the output tracking errors are guaranteed to converge to zeros. The effectiveness of the proposed control is demonstrated in the simulation. © 2010 AACC.

关键词： Couplings

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Learning compliance control of robot manipulators in contact with the unknown environment

Learning compliance control of robot manipulators in contact...

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2010 IEEE International Conference on Automation Science and Engineering, CASE 2010

作者： Li, Yanan Yang, Chenguang Ge, Shuzhi Sam Social Robotics Lab. NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore 119613 Singapore Department of Bioengineering Imperial College London London SW7 2AZ United Kingdom Department of Electrical and Computer Engineering Interactive Digital Media Institute National University of Singapore Singapore 117576 Singapore Institute of Intelligent Systems University of Electronic Science and Technology of China Chengdu 610054 China

ISBN: (纸本)9781424454471

In this paper, a control mechanism is presented to improve the compliance performance of the robot manipulator when it is in contact with the unknown environment. This mechanism guarantees that the dynamics of the whole system follows a target impedance model so that the desired compliance performance is obtained. In particular, under the assumption that the dynamics is periodic, a learning law is developed to estimate the unknown dynamics parameters. Besides, the proposed systematic learning control does not require the accurate force measurement. Its performance and robustness are discussed in details by the rigorous analysis. At last, the validity of the proposed method is verified by simulation. © 2010 IEEE.

关键词： Modular robots

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Motion estimation for a mobile robot based on real-time stereo vision system

Motion estimation for a mobile robot based on real-time ster...

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2009 2nd International Congress on Image and Signal Processing, CISP'09

作者： Zhongli, Wang Xueshan, Gao Baochang, Zhang Hao, Wu State Key Lab. of Robotics and System Harbin Institute of Technology Harbin China School of Computer Science Beijing Institute of Technology Beijing China Intelligent Robotics Institute Beijing Institute of Technology Beijing China School of Automation Science and Electric Engineering Beihang University Beijing China

ISBN: (纸本)9781424441310

Vision-based motion estimation is a key technique in autonomously mobile robot. This paper presents an integrated method for motion estimation of the mobile robot based on floor plane extraction. The whole processes include floor plane extraction, pose estimation of the onboard stereo vision system and motion estimation of the mobile robot. First, based on disparity map obtained from the onboard real-time stereo vision system, a two-stage method is used for fast floor plane extraction. Then all the points belong to the floor plane are transformed from disparity space to Euclidean space, and a simple least squares method is employed to fit the floor plane. The fitting parameters of the floor plane are used for the pose estimation of the onboard stereo vision system. Finally, the motion of the mobile robot is estimated with the tracking results of the points on floor plane. The proposed motion estimation method is intended to be used in the motion control of a wheeled mobile robot. Experimental results in real environments are presented. ©2009 IEEE.

关键词： Mobile robots

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Evolutionary approaches to the linear machine layout problem

Evolutionary approaches to the linear machine layout problem

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作者： Mohagheghi, Salman Georgoulas, George Stylios, Chrystostomos Groumpos, Peter ABB Inc. US Corporate Research Center Raleigh NC 27606 United States Dept. of Computer Applications in Finance and Management TEI of Ionian Islands Lefkas Greece Dept. of Informatics and Communications Technology TEI of Epirus Kostakioi Artas Greece Lab. of Automation and Robotics Dept. of Electrical and Computer Eng. Patras Greece

ISBN: (纸本)9783902661432

Flexible Manufacturing Systems (FMSs) cope with multi-product, usually small sized production. In this research work we investigate the use of evolutionary methods to solve the linear or single-row layout problem, which is the most commonly implemented layout in FMSs. Three different approaches, based on Ant Colony Optimization, Genetic Algorithms and Particle Swarm Optimization are tested. The experimental results show that a near optimal solution can be found for all three methods, exploiting only a small portion of the feasible solution space, pinpointing once more the merit of using evolutionary algorithms to tackle difficult combinatorial problems. © 2009 IFAC.

关键词： Genetic algorithms

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Evolutionary Approaches to the Linear Machine Layout Problem

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IFAC Proceedings Volumes 2009年第4期42卷 1245-1250页

作者： Salman Mohagheghi George Georgoulas Chrystostomos Stylios Peter Groumpos ABB Inc US Corporate Research Center Raleigh NC 27606 USA Dept. of Computer Applications in Finance and Management TEI of Ionian Islands Lefkas Greece Dept. of Informatics and Communications Technology TEI of Epirus Kostakioi Artas Greece Lab. of Automation and Robotics Dept. of Electrical and Computer Eng. Patras Greece

关键词： Flexible Manufacturing Systems Ant Colony Optimization Genetic Algorithms Particle Swarm Optimization

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IEEE Transactions on Haptics: Editorial

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IEEE Transactions on Haptics 2008年第1期1卷 2-8页

作者： Edward Colgate, J. Lederman, Susan Prattichizzo, Domenico Barbagli, Federico Basdogan, Cagatay Buss, Martin Ernst, Marc Frisoli, Antonio Gillespie, Brent Grant, Danny Harders, Matthias Hayward, Vincent Jones, Lynette Kajimoto, Hiroyuki Kappers, Astrid Kheddar, Abderrahmane Lin, Ming C. MacLean, Karon Miller, Brian Noma, Haruo Okamura, Allison M. O'Malley, Mareia Ryu, Jeha Tan, Hong Z. Yokokohji, Yasuyoshi Department of Psychology School of Computing Queen's University Canada IEEE Robotics and Automation Society Tübingen Germany Stanford University's Computer Science Department Tübingen Germany Institute of Automatic Control Engineering Technische Universität München Germany Independent Research Group Multisensory Perception and Action Max Planck Institute for Biological Cybernetics Tübingen Germany Department of Applied Mechanics SSSA Japan Research Division Virtual Reality and Telerobotic Systems PERCRO Laboratory Japan Department of Mechanical Engineering Japan Department of Robotics McGill University Canada Computer Vision Lab ETH Zurich Japan Virtual Reality in Medicine Group Japan IEEE CS/RAS Technical Committee on Haptics Japan Department of Electrical and Computer Engineering McGill University Canada Department of Mechanical Engineering MIT Japan University of Electro-Communications Japan Department of Physics and Astronomy Utrecht University Netherlands University of Evry France Chapel Hill United States Department of Computer Science University of British Columbia Canada ATR Knowledge Science Lab United Kingdom Department of Mechanical Engineering Denmark Johns Hopkins University United States Laboratory for Computational Sensing and Robotics United Kingdom Engineering Research Center for Computer-Integrated Surgical Systems and Technology United States Mechanical Engineering and Materials Science Department Rice University United States Korea Republic of Department of Electrical and Computer Engineering Mechanical Engineering and Psychological Sciences Purdue University United States Department of Mechanical Engineering and Science Graduate School of Engineering Kyoto University Japan

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Audio-Visual Speech Processing Framework for Lip Reading

Audio-Visual Speech Processing Framework for Lip Reading

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International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA

作者： Abdulbaset M. Nasr Abd Rahman Ramli Mohammad Hamiruce Shamala K Subramaniam Robotics Lab Institute of advanced technology Universiti Putra Malaysia Serdang Selangor Darul Ehsan Malaysia Department of Computer and Communications Systems Faculty of Engineering Universiti Putra Malaysia Serdang Selangor Darul Ehsan Malaysia Department of Electrical and Electronics Engineering Faculty of Engineering Universiti Putra Malaysia Serdang Selangor Darul Ehsan Malaysia Department of Communication Technology & Networks Faculty of Computer Science and Information Technology Universiti Putra Malaysia Serdang Selangor Darul Ehsan Malaysia

It is well known that speech production and perception process is inherently bimodal consisting of audio and visual components. Recently there has been increased interest in using the visual modality in combination with the acoustic modality for improved speech processing. This field of study has gained the title of audio-visual speech processing. Lip movement recognition, also known as lip reading, is a communication skill which involves the interpretation of lip movements in order to estimate some important parameters of the lips that include, but not limited to, size, shape and orientation. In this paper, we represent a hybrid framework for lip reading which is based on both audio and visual speech parameters extracted from a video stream of isolated spoken words. The proposed algorithm is self-tuned in the sense that it starts with an estimations of speech parameters based on visual lip features and then the coefficients of the algorithm are fine-tuned based on the extracted audio parameters. In the audio speech processing part, extracted audio features are used to generate a vector containing information of the speech phonemes. These information are used later to enhance the recognition and matching process. For lip feature extraction, we use a modified version of the method used by F. Huang and T. Chen for tracking of multiple faces. This method is based on statistical color modeling and the deformable template. The experiments based on the proposed framework showed interesting results in recognition of isolated words.

关键词： Speech processing Image processing Parameter estimation Data mining Feature extraction Robots computer networks Systems engineering and theory Communications technology computer science

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