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arXiv 2019年

作者： Klamt, Tobias Rodriguez, Diego Baccelliere, Lorenzo Chen, Xi Chiaradia, Domenico Cichon, Torben Gabardi, Maßimiliano Guria, Paolo Holmquist, Karl Kamedula, Malgorzata Karaoguz, Hakan Kashiri, Navvab Laurenzi, Arturo Lenz, Christian Leonardis, Daniele Hoffman, Enrico Mingo Muratore, Luca Pavlichenko, Dmytro Porcini, Francesco Ren, Zeyu Schilling, Fabian Schwarz, Max Solazzi, Maßimiliano Felsberg, Michael Frisoli, Antonio Gustmann, Michael Jensfelt, Patric Nordberg, Klas Roßmann, Jürgen Süß, Uwe Tsagarakis, Nikos G. Behnke, Sven Autonomous Intelligent Systems University of Bonn Germany Humanoids and Human-Centred Mechatronics Istituto Italiano di Tecnologia Genoa Italy Department of Robotics Perception and Learning KTH Royal Institute of Technology Stockholm Sweden PERCRO Laboratory TeCIP Institute Sant'Anna School of Advanced Studies Pisa Italy Institute for Man-Machine Interaction RWTH Aachen University Germany Computer Vision Laboratory Linköping University Sweden Lausanne Switzerland Kerntechnische Hilfsdienst GmbH Karlsruhe Germany School of Electrical and Electronic Engineering University of Manchester United Kingdom

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Correction to: Editorial

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International Journal of Social robotics 2019年第6期15卷 1077-1077页

作者： Ge, Shuzhi Sam Wykowska, Agnieszka Khatib, Oussama Social Robotics Laboratory Smart Systems Institute Department of Electrical and Computer Engineering The National University of Singapore Singapore Singapore Institute for Future (IFF) Qingdao University Qingdao China Centre for Robotics UESTC Chengdu China Social Cognition in Human-Robot Interaction Istituto Italiano di Tecnologia Genoa Italy Artificial Intelligence Laboratory Department of Computer Science Stanford University Stanford USA

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Design, Analysis and Construction of a Novel Flexible Rover robot

Design, Analysis and Construction of a Novel Flexible Rover ...

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RSI/ISM International Conference on robotics and Mechatronics

作者： Mohammad Safary Taze Kand Rasoul Sadeghian Mehdi Tale Masouleh Department of Electrical Biomedical and Mechatronics Engineering Qazvin Branch Islamic Azad University Qazvin Iran Human and Robot Interaction Laboratory Faculty of New Sciences and Technologies University of Tehran Tehran Iran

ISBN: (纸本)9781467372350

This paper presents a novel rover robot construction progress which is named Patrol-s. The main contribution of constructing this robot is based on reducing the vibrations which are effected on the robot body from the movement surface. In order to achieve this purpose,the design of the proposed robot is classified in three main parts, namely, wheels, middle body and stabilizer parts. The wheels are composed of big circular disks, half circular legs and springs. The springs are installed to reduce the effects of environment strokes on the robot, in the proposed robot, the half circular legs are used in order to facilitate obstacle planning. The stabilizer parts are used in order to prevent the rotation of middle body and upward movement of slope. The controlling of this robot is an open loop control. In order to improve the control performance several sensors are applied on the robot body to provide better information from the situation of the proposed robot. In order to find the compatible material and predict some of the robot reaction in different situation, the dynamic behaviour is simulated in ADAMS MSC software. Finally, the simulation results validated the desired performance of the proposed robot.

关键词： Rover robot Arduino ADAMS MSC simulation

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Design of an Adaptive Sliding Mode Controller for a Novel Spherical Rolling robot

Design of an Adaptive Sliding Mode Controller for a Novel Sp...

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RSI/ISM International Conference on robotics and Mechatronics

作者： Rasoul Sadeghian Hassan Bayani Mehdi Tale Masouleh Department of Electrical Biomedical and Mechatronics Engineering Qazvin Branch Islamic Azad University Qazvin Iran Human and Robot Interaction Laboratory Faculty of New Sciences and Technologies University of Tehran Tehran Iran

ISBN: (纸本)9781467372350

This paper presents a novel spherical rolling robot and the design procedure of an adaptive sliding mode controller for the proposed robot. Towards containing the uncertainties, the sliding mode controller is utilized and simulation tests represent the effectiveness of this method. However, the chattering phenomenon in the robot operation is the main insufficiency of this controller. Hence, in order to present a more accurate controller, sliding mode controller is equipped with an identification method which works in an online manner for identifying the exact model of the robot. The provided identification procedure is based on Recursive Least Square approach, which is one of the most promising approaches toward identifying the model. It should be also noted that, this adaptive controller identify the model without taking into account any data from the derived model.

关键词： Spherical rolling robot Sliding mode control Adaptive control Simulation

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Spiral Projection Model (SPM): A New Algorithm for Robust Template Matching

Spiral Projection Model (SPM): A New Algorithm for Robust Te...

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IEEE International Conference on Systems, Man, and Cybernetics

作者： Huang-Chia Shih Kuan-Chun Yu Human-Computer Interaction Multimedia Laboratory Department of Electrical Engineering Yuan Ze University

ISBN: (纸本)9781479938414

This paper describes a robust template matching algorithm undergoing rotation-scaling-translation (RST) variations via our proposed spiral projection model (SPM). Compared to other model-based methods, the proposed algorithm provides the structural and statistical information about the template in a more general and easier to comprehend format. The well-defined spiral-based projection provides high sensitivity and high scanning efficiency compared with ring projection [1]. It also preserves the inherent spatial information better than the radial projection [2]. In addition, we introduced a novel image warping scheme called the spiral aggregation map (SAM). It not only provides an efficient method for generating the desired projection profiles for matching, it also enables us to determine the rotation angle, and is invariant to scale changes. The experimental evaluation shows that the properties of the algorithm achieved very attractive results.

关键词： Template matching Rotation-invariant feature Brightness/contrast-invariance Scale invariance Pattern recognition

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A dempster-shafer theoretic approach to understanding indirect speech acts

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8864卷 141-153页

作者： Williams, Tom Núñez, Rafael C. Briggs, Gordon Scheutz, Matthias Premaratne, Kamal Murthi, Manohar N. Human-Robot Interaction Laboratory Tufts University 200 Boston Avenue MedfordMA02155 United States Department of Electrical and Computer Engineering University of Miami 1251 Memorial Drive Coral GablesFL33146 United States

Understanding Indirect Speech Acts (ISAs) is an integral function of human understanding of natural language. Recent attempts at understanding ISAs have used rule-based approaches to map utterances to deep semantics. While these approaches have been successful in handling a wide range of ISAs, they do not take into account the uncertainty associated with the utterance’s context, or the utterance itself. We present a new approach for understanding ISAs using the Dempster- Shafer theory of evidence and show how this approach increases the robustness of ISA inference by (1) accounting for uncertain implication rules and context, (2) fluidly adapting rules given new information, and (3) enabling better modeling of the beliefs of other agents. © Springer International Publishing Switzerland 2014.

关键词： Semantics

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Kinematic sensitivity and workspace optimization of planar parallel mechanisms using evolutionary techniques

Kinematic sensitivity and workspace optimization of planar p...

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2013 1st RSI/ISM International Conference on robotics and Mechatronics, ICRoM 2013

作者： Daneshmand, Morteza Saadatzi, Mohammad Hossein Tale Masouleh, Mehdi Human-Robot Interaction Laboratory Faculty of New Sciences and Technologies University of Tehran Tehran Iran Faculty of Electrical and Computer Engineering K. N. Toosi University of Technology Tehran Iran

ISBN: (纸本)9781467358118

This paper presents the results of a comprehensive study on the efficiency of planar parallel mechanisms, considering their kinetostatic performance and also, their workspace. This aim is approached upon proceeding single- and multi-objective optimization procedures. Kinetostatic performance of ten different architectures is analyzed, by resorting to a recent index, kinematic sensitivity. The mathematical framework adopted for the optimization problem is based on genetic algorithm. The results of multi-objective optimization are based on the sets of Pareto points, offering the most reliable decisions to reconciliate between some conflicting objectives. To this end, the ten mechanisms are sorted into two sets based on their type of actuator, namely, five with prismatic actuators and the other ones with revolute actuators. Finally, a comparison between performances of these mechanisms, according to the obtained results, is carried out. © 2013 IEEE.

关键词： Multiobjective optimization

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Sentiment classification in Persian: Introducing a mutual information-based method for feature selection

Sentiment classification in Persian: Introducing a mutual in...

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Iranian Conference on electrical engineering (ICEE)

作者： Ayoub Bagheri Mohamad Saraee Franciska de Jong Intelligent Database Data Mining and Bioinformatics Laboratory Electrical and Computer Engineering Department Isfahan University of Technology Isfahan Iran School of Computing Science and Engineering University of Salford Manchester UK Human Media Interaction University of Twente Enschede Netherlands

With the enormous growth of online reviews in Internet, sentiment analysis has received more and more attention in information retrieval and natural language processing community. Up to now there are very few researches conducted on sentiment analysis for Persian documents. This paper considers the problem of sentiment classification for online customer reviews in Persian language. One of the challenges of Persian language is using of a wide variety of declensional suffixes. Another common problem of Persian text is word spacing. In Persian in addition to white space as interwords space, an intra-word space called pseudo-space separates word's part. One more noticeable challenge in customer reviews in Persian language is that of utilizing many informal or colloquial words in text. In this paper we study these challenges by proposing a model for sentiment classification of Persian review documents. The proposed model is based on a lemmatization approach for Persian language and is employed Naive Bayes learning algorithm for classification. Additionally we present a new feature selection method based on the mutual information method to extract the best feature collection from the initial extracted features. Finally we evaluate the performance of the model on a manually gathered collection of cellphone reviews, where the results show the effectiveness of the proposed model.

关键词： Feature extraction Mathematical model Classification algorithms Equations Mutual information Training Data mining

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A semantic-based video segmentation method

A semantic-based video segmentation method

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2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012

作者： Shih, Huang-Chia Chuang, Che-Yen Lee, Hong-Wei Human-Computer Interaction Multimedia Laboratory Department of Electrical Engineering Yuan Ze University Chungli Taiwan

ISBN: (纸本)9781467314855

This paper illustrates three levels of video units for video segmentation from coarse to fine granularity, which include highlights, attentive visual change, and game status change. The boundaries between video shots are commonly known as scene change and the action of segmenting a video sequence into multiple shots is called scene change detection. However, different applications are suitable for different fine granularities of the shot boundary. In this paper, we take the content semantic into consideration to segment the video. In performance evaluation, we choose the sports programs as the testing data, because the sports video entertains large population of audiences and is very popular. The experimental results show the efficiency of the proposed method for sports programs. © 2012 IEEE.

关键词： Semantics

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A semantic-based video segmentation method

A semantic-based video segmentation method

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Huang-Chia Shih Che-Yen Chuang Hong-Wei Lee Human-Computer Interaction Multimedia Laboratory Department of Electrical Engineering Yuan Ze University Chungli Taiwan

关键词： Abstracts Tracking Testing Image segmentation

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