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IEEE International Conference on robotics and Automation (ICRA)

作者： Jose Luis Alarcon-Herrera Xiang Chen Xuebo Zhang Department of Electrical and Computer Engineering University of Windsor Windsor Ontario Canada Tianjin Key Laboratory of Intelligent Robotics Nankai University Tianjin China

An automatic method for solving the problem of view planning in high-resolution industrial inspection is presented. The method's goal is to maximize the visual coverage, and to minimize the number of cameras used for inspection. Using a CAD model of the object of interest, we define the scene-points and the viewpoints, with the later being the solution space. The problem formulation accurately encapsulates all the vision- and task-related requirements of the design process for inspection systems. We use a graph-based approach to formulate a solution for the problem. The solution is implemented as a greedy algorithm, and the method is validated through experiments.

关键词： Cameras Inspection Lenses Solid modeling Visualization Image resolution Robot vision systems

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Acquiring brain signals of imagining humanoid robot walking behavior via cerebot

Advances in Intelligent Systems and Computing

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Advances in intelligent systems and Computing 2014年 215卷 617-627页

作者： Li, Wei Li, Yunyi Chen, Genshe Meng, Qinghao Zeng, Ming Sun, Fuchun Tianjin University Tianjin China Department of Computer and Electrical Engineering and Computer Science California State University Bakersfield 9001 Stockdale Hwy Bakersfield CA 93311-1022 United States Department of Psychology and Neuroscience Duke University 417 Chapel Drive Durham NC 27708-0086 United States I-Fusion Technologies Inc Germantown MD 20874 United States State Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing China

Control of humanoid robot behavior with the mind begins a new era of robotics research. One of the critical issues in this research is how to acquire the brain signals with high quality which are correlated to humanoid robot behavior. In order to improve subjects' concentration on their mental activities during tests, we develop a stimuli module in the Cerebot system, consisting of a Cerebus neural data acquisition system and a Kumotek robot with 20 degrees of freedom or a NAO robot with 25 degrees of freedom. We present the experimental procedures for acquiring brain signals of imagining humanoid robot walking behavior by using movies of robot walking or real robot walking activities. We record two groups of brain signals correlated to mental activities of six robot walking behavior. Finally, we present a demonstration of controlling the humanoid robot walking behavior using the phase coding mechanisms of the Delta rhythms. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Anthropomorphic robots

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Design and implementation of a range-based formation controller for marine robots 1

Design and implementation of a range-based formation control...

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ROBOT 2013: 1st Iberian robotics Conference

作者： Soares, Jorge M. Aguiar, A. Pedro Pascoal, António M. Martinoli, Alcherio Laboratory of Robotics and Systems in Engineering and Science Instituto Superior Técnico Technical University of Lisbon Av. Rovisco Pais Lisboa1049-001 Portugal Department of Electrical and Computer Engineering University of Porto Rua Dr. Roberto Frias Porto4200-465 Portugal LausanneCH-1015 Switzerland

ISBN: (纸本)9783319034126

There is considerable worldwide interest in the use of groups of autonomous marine vehicles to carry our challenging mission scenarios, of which marine habitat mapping of complex, non-structured environments is a representative example. Relative positioning and formation control becomes mandatory in many of the missions envisioned, which require the concerted operation of multiple marine vehicles carrying distinct, yet complementary sensor suites. However, the constraints placed by the underwater medium make it hard to both communicate and localise the vehicles, even in relation to each other, let alone maintain them in a formation. As a contribution to overcoming some of these problems, this paper deals with the problem of keeping an autonomous marine vehicle in a moving triangular formation with respect to two leader vehicles. Simple feedback laws are derived to drive a controlled vehicle to its intended position in the formation using acoustic ranges obtained to the leading vehicles with no knowledge of the formation path. The paper discusses the implementation of this solution in the MEDUSA class of autonomous marine vehicles operated by IST and describes the results of trials with these vehicles exchanging information and ranges over an acoustic network. © Springer International Publishing Switzerland 2014.

关键词： Machine design

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Prediction of Atheromatic Plaque Evolution in Carotids using Features extracted from the Arterial Geometry

Prediction of Atheromatic Plaque Evolution in Carotids using...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Paschalis A. Bizopoulos Antonis I. Sakellarios Dimitrios D. Koutsouris Jannis Kountouras Lazaros Kostretzis Stella Karagergou Lampros K. Michalis Dimitrios I. Fotiadis the Biomedical Engineering Laboratory School of Electrical and Computer Engineering National Technical University of Athens (NTUA) GR 15773 Zografou Athens Greece the Unit of Medical Technology and Intelligent Information Systems Dept. of Materials Science and Engineering University of Ioannina GR 45110 Ioannina Greece the Department of Medicine Second Medical Clinic Aristotle University of Thessaloniki Ippokration Hospital Thessaloniki Greece the First Orthopaedic Department G.Papanikolaou Hospital GR 5701 Exohi Thessaloniki Greece the Obstetricts and Gynecology Department General Hospital of Serres Ag. Ioannis GR 62100 Serres Greece the Michaelideion Cardiac Center Department of Cardiology in Medical School GR 45110 University of Ioannina Ioannina Greece

ISBN: (纸本)9781424492695

Knowing the arterial geometry might be helpful in the assessment of a plaque rupture event. We present a proof of concept study implementing a novel method which can predict the evolution in time of the atheromatic plaque in carotids using only statistical features which are extracted from the arterial geometry. Four feature selection methods were compared: Quadratic Programming Feature Selection (QPFS), Minimal Redundancy Maximal Relevance (mRMR), Mutual Information Quotient (MIQ) and Spectral Conditional Mutual Information (SPECCMI). The classifier used is the Support Vector Machines (SVM) with linear and Gaussian kernels. The maximum accuracy that was achieved in predicting the variation in the mean value of the Lumen distance from the centerline and the thickness was 71.2% and 70.7% respectively.

关键词： QPFS MIQ SPECCMI

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Determining mood via emotions observed in face by induction

Determining mood via emotions observed in face by induction

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RSI/ISM International Conference on robotics and Mechatronics (ICROM)

作者： Mojgan Hashemian Hadi Moradi Maryam S Mirian Mehdi Tehrani-doost Advanced Robotics and Intelligent Systems Lab University of Tehran Iran School of Electrical and Computer Engineering University of Tehran Iran Department of Psychiatry Tehran University of Medical Science Iran

Determining the mood of a person is an important step in the Human-Robot interaction. In this paper, we propose a human-inspired approach in which the changes in emotions, done using emotion induction, can be used to determine the mood of a person. The emotion induction, which can be done through robot actions or through showing video clips, stimulates changes in the emotions of the person, reducing the observation time needed to estimate mood. Consequently, the changes in the emotions, which are biased by his/her mood can be used by a robot to determine the mood of a person. To do so, we induced happy emotions by showing a comical clip and measured the intensity of each happy and sad emotions, and also the intensity of the neutral state. Then we extracted a feature set, including both time and frequency domain features, which is used to determine the mood of the person. The approach has been implemented and compared to no-emotion-induction approach and shows better results. Based on the classification results, the approach is able to distinguish between good vs. bad moods with the accuracy of 91.5% with 0.1 mean absolute error. But the neutral state was not distinguishable well.

关键词： Mood Robots Accuracy Feature extraction Face Educational institutions Human-robot interaction

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MMOSPA-based direction-of-arrival estimation for planar antenna arrays

MMOSPA-based direction-of-arrival estimation for planar ante...

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Sensor Array and Multichannel Signal Processing Workshop

作者： Marcus Baum Peter Willett Uwe D. Hanebeck Department of Electrical and Computer Engineering University of Connecticut USA Intelligent Sensor-Actuator-Systems Laboratory (ISAS) Karlsruhe Institute of Technology (KIT) Germany

This work is concerned with direction-of-arrival (DOA) estimation of narrowband signals from multiple targets using a planar antenna array. We illustrate the shortcomings of Maximum Likelihood (ML), Maximum a Posteriori (MAP), and Minimum Mean Squared Error (MMSE) estimation, issues that can be attributed to the symmetry in the likelihood function that must exist when there is no information about labeling of targets. We proffer the recently introduced concept of Minimum Mean OSPA (MMOSPA) estimation that is based on the optimal sub-pattern assignment (OSPA) metric for sets and hence inherently incorporates symmetric likelihood functions.

关键词： Direction-of-arrival estimation Arrays Maximum likelihood estimation Vectors Antenna arrays

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Determining mood using emotional features

Determining mood using emotional features

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International Symposium on Telecommunications, IST

作者： Mojgan Hashemian Amin Nikoukaran Hadi Moradi Maryam S Mirian Mehdi Tehrani-doost Advanced Robotics and Intelligent Systems Lab University of Tehran Iran School of Electrical and Computer Engineering University of Tehran Iran Department of Psychiatry Tehran University of Medical Science Iran

The ability to determine mood is one of fundamental challenges in affective computing. In this paper, we present a novel approach for mood detection via emotional variations. In this approach, the mood is considered as a low magnitude and more stable, i.e. low frequency, emotion that can be detected using emotion detection approaches. A Bayes classification is applied on a feature vector composed of statistical aspects of the intensity of the emotions. The approach has been implemented in which two emotions, i.e. happiness and sadness, and also neutral state, have been targeted to determine the good, bad, and neutral, mood of subjects respectively. A Bayes classification is applied on a feature vector containing statistical aspects of the intensity of the emotions. The obtained Correct Classification Rate (CCR) is 91.1, with 0.09 mean error and variance of 4.9 discriminating good mood vs. neutral.

关键词： Mood Educational institutions Face Videos computers Mice Accuracy

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Optimization for 3D Model-based Multi-Camera Deployment

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IFAC Proceedings Volumes 2014年第3期47卷 10126-10131页

作者： Xuebo Zhang Jose Luis Alarcon-Herrera Xiang Chen Department of Electrical and Computer Engineering University of Windsor Windsor ON N9B 3P4 Canada Institute of Robotics and Automatic Information System(IRAIS) and Tianjin Key Laboratory of Intelligent Robotics (tjKLIR) Nankai University Tianjin 300071 China

Based on convex optimization techniques, we propose a new multi-camera deployment method for optimal visual coverage of a three-dimensional (3D) object surface. Different from existing methods, the optimal placement of a single camera is formulated as two convex optimization problems, given a set of covered triangle faces. Moreover, this idea is incorporated into a recursive framework to expand the covered area for each camera, wherein initially covered triangle faces are elegantly chosen using an importance criterion for the first recursion. By placing cameras one by one using the same method, the object surface is gradually covered by iteratively removing the covered partition of the previously deployed camera. Due to the usage of convex optimization, each camera is guaranteed to be placed at an optimal pose for a group of triangle faces other than a single one. This merit, together with the importance criterion-based selection of initially covered triangle faces, reduces the number of required cameras while satisfying various constraints including the resolution, field of view, focus and occlusion. Simulation results on two real 3D computer-aided design (CAD) models are presented to verify the effectiveness of the proposed approach.

关键词： Multi-camera deployment convex optimization

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Opening remarks

2016 International Conference on Advances in Human Machine I...

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2016 International Conference on Advances in Human Machine Interaction, HMI 2016 2016年

作者： Nagaraja, Ch. Swamy, J. Nagendra Rajendra, J. Khan, M.S. Vishwanath Reddy, D.S. Manjunath, N. Dillmann, Ruediger Tarn, Tzyh Jong Zhao, Qianchuan Ammi, Mehdi Zuberek, Wlodek M. Sandhu, P.S. Patthira Newman, K. De Silva Liyanage, Chandratilak Hassan, Sohair Aly Aly Sun, Kien Wen Rahman, Md. Moshiur Ordoño, E. Evangelista Sharma, R.K. Mishra, Preeti Chandel, B.S. Singla, Ekta Petric, Tadej Zhong, Yu Jiglar, Janson Alemzadeh, Kazem Asokan, T. Tripathi, Animesh Tripathi, Manoj Ram, Swaminath Shrma, M.K. Panday, P.N. Kumar, Devendra Hinchey, Mike Stilman, Boris Suraj, Zbigniew Pal, Sankar K. Sasi, Sreela Rajan, Deepu Marshall, Roger G. Abraham, Ajith Peter S, David Paul, Vargheese Gopakumar, V. Dustdar, Schahram Soto, Sebastián Ventura Rausch, Andreas Angelis, Lefteris Nelson, Andrew L. Botzheim, Janos Bernardino, Heder Soares Zboril, Frantisek Ane, Bernadetta Kwintiana Maeda, Toshiyuki Sakalauskas, Virgilijus Hann, Garenth Lim King Samek, Jan Romero Salguero, José Raúl Varghese, Kuruvilla Kriksciuniene, Dalia Mathew, Jimson Reif, Wolfgang Mauri, Giancarlo Cabrerizo Lorite, Francisco Javier Özcan, Ender Cho, Sung-Bae Paily, Roy P. Rezankova, Hana Tudjarov, Boris Hong, Wei-Chiang De Oliveira, José Valente Flores Romero, Juan Jose Oskouei, Rozita Jamili Cicchetti, Antonio Roy, Chanchal Segura, Sergio Samuel, C. Mallet, Frédéric Mernik, Marjan Punnekkat, Sasikumar Waseemulla, A. Sri Devaraj Urs Educational Trust Bangalore India R. L. Jalappa Institute of Technology Doddaballapur Bangalore India Humanoids and Intelligence Systems Lab Kalsruhe Germany Electrical and Systems Engineering Washington University in St. Louis United States Deputy Director of Center for Intelligent and Networked Systems Department of Automation Tsinghua University Beijing China Department of Computer Science CNRS/LIMSI Lab AMI Group France Memorial University St. John'sNL Canada RBIT and Bio-Technology India LR University Thailand University of Colorado at Boulder Boulder United States Faculty of Science University of Brunei Brunei University of Kuala Lumpur Malaysia National Chiao Tung University Taiwan EPR Centre Bangladesh Mapua Institute of Technology Philippines ARO CWC Lucknow India Mpec Kanpur India DSC DBS Kanpu India Indian Institute of Technology Ropar India Jozaf Stefan Institute Department of Automation Biocyernetics and Robotics Ljubljana Slovenia Robotics Institute Carnegie Mellon University Pittsburgh United States Faculty of Engineering University of Bristol United Kingdom Department of Engineering Design Indian Institute of Technology Madras India Lucknow Uni Lucknow India CSJM Uni Kanpur India UPPCB Lucknow India PCB Roorkee India Awadh Uni Faijabad India Agra Uni Agra India Lero University of Limerick Ireland University of Colorado Denver United States University of Rzeszow Poland Indian Statistical Institute Kolkata India Gannon University PA United States Nanyang Technical University Singapore Singapore Plymouth State University NH United States MIR Labs United States Cochin University of Science and Technology India State Project Facilitation Unit TEQIP Kerala India Technical University of Vienna Austria University of Cordoba Spain Clausthal University of Technology Germany Aristotle University of Thessaloniki Greece Androtics LLC TucsonAZ United States Tokyo Metropolitan University Japan Federal Unive

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Experimental Design for System Identification of Boolean Control Networks in Biology

Experimental Design for System Identification of Boolean Con...

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IEEE Annual Conference on Decision and Control

作者： Alberto Giovanni Busetto John Lygeros Intelligent and Predictive Systems Laboratory Department of Electrical and Computer Engineering University of California Santa Barbara California USA Automatic Control Laboratory ETH Zurich Zurich Switzlerand

ISBN: (纸本)9781467360890

This study is primarily motivated by biological applications and focuses on the identification of Boolean networks from scarce and noisy data. We consider two Bayesian experimental design scenarios: selection of the observations under a budget, and input design. The goal is to maximize the mutual information between models and data, that is the ultimate statistical upper bound on the identifiability of a system from empirical data. First, we introduce a method to select which components of the state variable to measure under a budget constraint, and at which time points. Our greedy approach takes advantage of the submodularity of the mutual information, and hence requires only a polynomial number of evaluations of the objective to achieve near-optimal designs. Second, we consider the computationally harder task of designing sequences of input interventions, and propose a likelihood-free approximation method. Exact and approximate design solutions are verified with predictive models of genetic regulatory interaction networks in embryonic development.

关键词： System identification State variable Biological Science Disciplines biology Budgets Boolean algebra Mathematic Identifiability noisy data Approximation method Prediction models Embryonic Development Input design

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