This paper presents an experimental study of distributed cooperative formation control of a team of autonomous mobile robots. Formation control demands that a team of robots keep a specified pattern while moving in a ...
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This paper presents an experimental study of distributed cooperative formation control of a team of autonomous mobile robots. Formation control demands that a team of robots keep a specified pattern while moving in a cluttered environment. So reactive control behaviors for keeping formation and obstacle avoidance are described. The behavioral decision to direct the movement of robot is made by the arbitration of primitive behaviors. For a team of two robots, control experiments were conducted using small mobile robots with infrared photo transistors and LEDs mounted on the front and back of the robot body, respectively. Simulations and real experiments using two mobile robots were successfully performed.
We present a characterization of a useful class of skills based on a graphical representation of an agent's interaction with its environment. Our characterization uses betweenness, a measure of centrality on graph...
ISBN:
(纸本)9781605609492
We present a characterization of a useful class of skills based on a graphical representation of an agent's interaction with its environment. Our characterization uses betweenness, a measure of centrality on graphs. It captures and generalizes (at least intuitively) the bottleneck concept, which has inspired many of the existing skill-discovery algorithms. Our characterization may be used directly to form a set of skills suitable for a given task. More importantly, it serves as a useful guide for developing incremental skill-discovery algorithms that do not rely on knowing or representing the interaction graph in its entirety.
Significant progress can be made in the part of elementary school education that relies on intelligent tutoring systems (ITS), if the role of a referee and a peer advisor will be performed by a pedagogical agent that ...
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Implementation of agency in a cognitive system implies that certain beliefs, values and/or goals represented in the system become, if implicitly, attributed to the self of the agent. When the cognitive system becomes ...
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This paper focuses on confidence scores for use in acoustic model adaptation. Frame-based confidence estimates are used in linear transform (CMLLR and MLLR) and MAP adaptation. We show that adaptation approaches with ...
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This paper focuses on confidence scores for use in acoustic model adaptation. Frame-based confidence estimates are used in linear transform (CMLLR and MLLR) and MAP adaptation. We show that adaptation approaches with a limited number of free parameters such as linear transform-based approaches are robust in the face of frame labeling errors whereas adaptation approaches with a large number of free parameters such as MAP are sensitive to the quality of the supervision and hence benefit most from use of confidences. Different approaches for using confidence information in adaptation are investigated. This analysis shows that a thresholding approach is effective in that it improves the frame labeling accuracy with little detrimental effect on frame recall. Experimental results show an absolute WER reduction of 2.1% over a CMLLR adapted system on a video transcription task.
This paper proposes a method to calculate the confidence score for out-of-vocabulary (OOV) word verification based on the Output Probability Distribution (OPD) of phoneme HMMs. Compared with input vector for dynamic g...
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This paper proposes a method to calculate the confidence score for out-of-vocabulary (OOV) word verification based on the Output Probability Distribution (OPD) of phoneme HMMs. Compared with input vector for dynamic garbage model, OPD vector contains more information than the sorted probabilities. Confidence score of each phoneme is calculated by SVM with OPD vectors as input. Hypotheses are accepted or rejected based on this confidence score. Experimental results showed that the proposed method achieved lower EER in word verification task than the conventional dynamic garbage model.
Globalization is making both developed and developing countries think about effective and efficient strategies that will advance their economies and social development. Throughout the history of civilization, engineer...
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Globalization is making both developed and developing countries think about effective and efficient strategies that will advance their economies and social development. Throughout the history of civilization, engineering has played a critical role in economic development. Engineers are key not only in solving local problems but also in knowledge creation and knowledge transfer. Thus, it is imperative that technical know-how be supplemented with professional skills to develop an 'adaptive leader' who is capable of addressing the multiple challenges of an ever changing world. The key-question posed by the 21st century global economy to engineering educators and stake-holders is this: "How can education in science and technology help to reduce poverty, boost socio-economic development, and take the right decisions for sustainable and environmental compatible development?" To answer these questions, a global approach is needed: and this can only be accomplished by a "team" which has its roots in all regions of the world, i.e. which is enabled to think globally and then act locally. There's a need to establish effective engineering education processes of high quality around the world to assure a global supply of well-prepared engineering graduates. This paper describes the reasons for the creation in October 2006 of IFEES - the International Federation of Engineering Education Societies. It will describe the vision, mission, and key strategies of IFEES. It will also describe some of the initiatives currently underway and how the various engineering education stakeholders can leverage and benefit from engaging with IFEES, thus strengthening the organizational capacity of engineering education societies throughout the world. The paper will share plans to help members learn from each other's best practices and even failures and how those organizations that have been in existence for quite some time (ASEE was founded in the late 19th century) can contribute to the institutio
This paper describes the HKUST experiments in the IWSLT 2007 evaluation campaign on spoken language translation. Our primary objective was to compare the open-source phrase-based statistical machine translation toolki...
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We present an unsupervised linguistically-based approach to discourse relations recognition, which uses publicly available resources like manually annotated corpora (Discourse Graphbank, Penn Discourse Treebank, RST-D...
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ISBN:
(纸本)9789728865979
We present an unsupervised linguistically-based approach to discourse relations recognition, which uses publicly available resources like manually annotated corpora (Discourse Graphbank, Penn Discourse Treebank, RST-DT), as well as empirically derived data from "causally" annotated lexica like LCS, to produce a rule-based algorithm. In our approach we use the subdivision of Discourse Relations into four subsets - CONTRAST, CAUSE, CONDITION, ELABORATION, proposed by[7] in their paper, where they report results obtained with a machine-learning approach from a similar experiment, against which we compare our results. Our approach is fully symbolic and is partially derived from the system called GETARUNS, for text understanding, adapted to a specific task: recognition of Causality Relations in free text. We show that in order to achieve better accuracy, both in the general task and in the specific one, semantic information needs to be used besides syntactic structural information. Our approach outperforms results reported in previous papers[9].
We show for the first time that incorporating the predictions of a word sense disambiguation system within a typical phrase-based statistical machine translation (SMT) model consistently improves translation quality a...
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