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Surface sensor networks for Underwater Vehicle positioning with bearings-only measurements

Surface sensor networks for Underwater Vehicle positioning w...

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2012 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： D. Moreno-Salinas A. M. Pascoal J. Aranda Department of Computer Science and Automatic Control UNED Madrid Spain Laboratory of Robotics and Systems in Engineering and Science (LARSyS) Technical University of Lisbon Portugal

There is increasing interest in the use of Autonomous Underwater Vehicles (AUVs) to substantially improve the means available for ocean exploration and exploitation. A key element in the operation of certain classes of AUVs is the availability of good underwater positioning systems to localize one or more vehicles simultaneously based on information received on-board a support ship or a set of autonomous surface vehicles. In an interesting operational scenario, the set of autonomous surface vehicles carries a network of acoustic units that measure the elevation and azimuth angles between the target and each of the receivers. Motivated by these considerations, in this paper we address the problem of determining the optimal geometric configuration of an acoustic sensor network at the ocean surface that will maximize the angle-related information available for underwater target positioning. It is assumed that the angle measurements are corrupted by white Gaussian noise, the variance of which is distance-dependent. Using the Cramer-Rao lower bound inequality, the trace of the inverse of the Fisher Information matrix (also called the Cramer-Rao Bound matrix) for the problem at hand is used to determine the sensor configuration that yields the minimum possible covariance of any unbiased target estimator. It is shown that the optimal configuration lends itself to an interesting geometrical interpretation and that the spreading of the sensor configuration depends explicitly on the intensity of the measurement noise and the target depth. Simulation examples illustrate the key results derived.

关键词： Robot sensing systems Sea measurements Noise measurement Noise Vectors Sea surface Acoustic measurements

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Rapid shallow coastal coral reef mapping using the teardrop system

Rapid shallow coastal coral reef mapping using the teardrop ...

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OCEANS 2012 MTS/IEEE Hampton Roads Conference: Harnessing the Power of the Ocean

作者： Corpuz, Francis James Naval Jr., Prospero Capili, Eusebio Jauod, Jaylord Judilla, Roel John Soriano, Maricor Vision and Image Processing Group National Institute of Physics University of the Philippines Diliman Quezon City Philippines Computer Vision and Machine Intelligence Group Department of Computer Science University of the Philippines Diliman Quezon City Philippines Mapua Robotics Center Institutional Laboratory Mgmt Office Mapua Institute of Technology Intramuros Manila Philippines

ISBN: (纸本)9781467308298

We present a rapid shallow coastal reef mapping system using a previously developed inexpensive diver less video capture system coupled with a fast-image mosaicking technique, using an affordable GPS logging device. The system replaces the traditional manta tow system of assessing and monitoring large areas of coastal coral reefs and at the same time provides historical visual record for future references. The system utilizes Teardrop, a hollow, teardrop-shaped that houses a commercial underwater point-and-shoot camera. The camera is set to video mode and captures video of the reef while the Teardrop is being towed by a wooden fishing boat. The resulting video is parsed into frames and mosaicked by using fast image labeling. The approximate location of the mosaicked images is recorded by using an inexpensive GPS logger. The coordinates are embedded on the mosaicked images and overlaid on mapping software such as Google Earth for visual record and spatial information integration. The same points are used to compute for the total distance covered by the capturing process. The whole process from coral reef video capture to mosaicking the images and finally embedding the mosaics in mapping software can be done in as short as 1 day, providing coastal managers and local government units with a tool to rapidly visualize and monitor shallow coral reefs. © 2012 IEEE.

关键词： Mapping

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Validation of an odor source identification algorithm via an underwater vehicle

Validation of an odor source identification algorithm via an...

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2nd International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2012

作者： Kang, Xiaodong Li, Wei Xu, Hongli Feng, Xisheng Li, Yiping State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Liaoning Province 110016 China Graduate School of the Chinese Academy of Sciences Beijing 100049 China Department of Computer Engineering and Science California State University Bakersfield CA 93311 United States

ISBN: (纸本)9780769546087

This paper systemically discusses a procedure for evaluating and validating an odor source identification algorithm derived from moth-inspired plume tracing strategies. We evaluate and validate the proposed source identification algorithm as follows. First, we identify the source of a virtual chemical plume with significant filament intermittency and meander via a simulated underwater vehicle. Second, we validate the source identification algorithm using the virtual chemical plume and a real underwater vehicle in a swimming pool. Finally, we run in-water tests to trace a Rhoda mine dye plume developed in near-shore ocean environments characterized by turbulence, tides and waves, and to identify its source via the underwater vehicle at Da Lian Bay in China. © 2012 IEEE.

关键词： Vehicles

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Decentralized Active Robotic Exploration and Mapping for Probabilistic Field Classification in Environmental Sensing 12

Decentralized Active Robotic Exploration and Mapping for Pro...

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International Conference on Autonomous Agents and Multiagent Systems

作者： Kian Hsiang Low Jie Chen John M. Dolan Steve Chien David R. Thompson Department of Computer Science National University of Singapore Robotics Institute Carnegie Mellon University Jet Propulsion Laboratory California Institute of Technology

ISBN: (纸本)9781627481564

A central problem in environmental sensing and monitoring is to classify/label the hotspots in a large-scale environmental field. This paper presents a novel decentralized active robotic exploration (DARE) strategy for probabilistic classi_cation/labeling of hotspots in a Gaussian process (GP)-based field. In contrast to existing state-of-the-art exploration strategies for learning environmental field maps, the time needed to solve the DARE strategy is independent of the map resolution and the number of robots, thus making it practical for in situ, real-time active sampling. Its exploration behavior exhibits an interesting formal trade-off between that of boundary tracking until the hotspot region boundary can be accurately predicted and wide-area coverage to find new boundaries in sparsely sampled areas to be tracked. We provide a theoretical guarantee on the active exploration performance of the DARE strategy: under reasonable conditional independence assumption, we prove that it can optimally achieve two formal cost-minimizing exploration objectives based on the misclassification and entropy criteria. Importantly, this result implies that the uncertainty of labeling the hotspots in a GP-based field is greatest at or close to the hotspot region boundaries. Empirical evaluation on real-world plankton density and temperature field data shows that, subject to limited observations, DARE strategy can achieve more superior classification of hotspots and time efficiency than state-of-the-art active exploration strategies.

关键词： Multi-robot exploration and mapping Adaptive sampling Active learning Gaussian process Exploration MAPPING(MATHEMATICAL) mapping AREA COVERAGE Decentralized time efficiency Field data Fields Misclassification Probability Active Genetic Hotspot Accident black spot

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Coral reef mosaicking using Teardrop and Fast Image Labeling

Coral reef mosaicking using Teardrop and Fast Image Labeling

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OCEANS 2012 MTS/IEEE Yeosu Conference: The Living Ocean and Coast - Diversity of Resources and Sustainable Activities

作者： Corpuz, Francis James Naval, Prospero Capili, Eusebio Jauod, Jaylord Judilla, Roel John Soriano, Maricor Vision and Image Processing Group National Institute of Physics University of the Philippines Diliman Quezon City Philippines Department of Computer Science College of Engineering University of the Philippines Diliman Quezon City Philippines Mapua Robotics Center Special Projects Laboratory Mapua Institute of Technology Intramuros Manila Philippines

ISBN: (纸本)9781457720895

In this paper, we present an inexpensive system for diverless video capture and fast image stitching of image frames for rapid reef assessment of shallow coral reefs. Our system has two main components: 1) Teardrop, a boat-towable, winged hull apparatus designed to house a commercial digital camera, and 2) a mosaicking algorithm to stitch the coral reef video into mosaics for further appreciation and analysis. The captured reef video is then separated into image frames which are to be stitched sequentially using Fast Image Labeling. The overlap between image frames is estimated using Single-Step DFT, an efficient sub-pixel estimation algorithm. The estimated overlap is used to compute for the area to be added to the mosaic space. The overlapping section between succeeding image-pairs are stitched along a seam determined by a minimal-cost path using dynamic programming. The visibility of the seam boundaries is further minimized by utilizing blending on multi-resolution splines. Experimental results on automated reef mosaics creation from actual coral reef video taken using Teardrop shows the performance of the system described. The main contribution of this work is the demonstration of a rapid reef visualization system using a diverless system and commercially available, non-research-grade imaging equipment. © 2012 IEEE.

关键词： Reefs

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Reports of the AAAI 2011 conference workshops

Reports of the AAAI 2011 conference workshops

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作者： Agmon, Noa Agrawal, Vikas Aha, David W. Aloimonos, Yiannis Buckley, Donagh Doshi, Prashant Geib, Christopher Grasso, Floriana Green, Nancy Johnston, Benjamin Kaliski, Burt Kiekintveld, Christopher Law, Edith Lieberman, Henry Mengshoel, Ole J. Metzler, Ted Modayil, Joseph Oard, Douglas W. Onder, Nilufer O'Sullivan, Barry Pastra, Katerina Precup, Doina Ramachandran, Sowmya Reed, Chris Sariel-Talay, Sanem Selker, Ted Shastri, Lokendra Singh, Satinder Smith, Stephen F. Srivastava, Siddharth Sukthankar, Gita Uthus, David C. Williams, Mary-Anne Department of Computer Science University of Texas at Austin United States Center for Knowledge Driven Information Systems Infosys Labs India Adaptive Systems Section Naval Research Laboratory Washington DC United States Department of Computer Science University of Maryland College Park United States EMC's Center of Excellence in Ireland Research Europe at EMC Ireland Department of Computer Science University of Georgia United States School of Informatics University of Edinburgh United Kingdom Department of Computer Science University of Liverpool United Kingdom Department of Computer Science University of North Carolina Greensboro United States Faculty of Engineering and Information Technology University of Technology Sydney Australia VeriSign Inc. United States Department of Computer Science University of Texas at El Paso United States Machine Learning Department Carnegie Mellon University United States Massachusetts Institute of Technology Media Laboratory United States Carnegie Mellon University's Silicon Valley Campus United States Darrell W. Hughes Program for Religion and Science Dialogue Oklahoma City University United States Department of Computing Science University of Alberta Canada College of Information Studies Institute for Advanced Computer Studies University of Maryland College Park United States Department of Computer Science Michigan Technological University United States Department of Computer Science University College Cork Ireland Cognitive Systems Research Insitute Athens Greece School of Computer Science McGill University Canada Stottler Henke Inc. United States School of Computing University of Dundee United Kingdom Department of Computer Engineering Istanbul Technical University Turkey Convergence Lab Infosys Technologies Ltd. United States Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor United States Robotics Institute Carnegie Mellon University United States University of Wisconsin

The AAAI-11 workshop program was held Sunday and Monday, August 7-18, 2011, at the Hyatt Regency San Francisco in San Francisco, California USA. The AAAI-11 workshop program included 15 workshops covering a wide range of topics in artificial intelligence. The titles of the workshops were Activity Context Representation: Techniques and Languages;Analyzing Microtext;Applied Adversarial Reasoning and Risk Modeling;Artificial Intelligence and Smarter Living: The Conquest of Complexity;Artifiicial Intelligence for Data Center Management and Cloud Computing;Automated Action Planning for Autonomous Mobile Robots;Computational Models of Natural Argument;Generalized Planning;Human Computation;Human-Robot Interaction in Elder Care;Interactive Decision Theory and Game Theory, 2010;Language-Action Tools for Cognitive Artificial Agents: Integrating Vision, Action, and Language;Lifelong Learning from Sensorimotor Experience;Plan, Activity, and Intent Recognition;and Scalable Integration of Analytics and Visualization. This article presents short summaries of those events. Copyright © 2012, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Human robot interaction

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Robots for humanity: User-centered design for assistive mobile manipulation

Robots for humanity: User-centered design for assistive mobi...

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25th IEEE/RSJ International Conference on robotics and Intelligent Systems, IROS 2012

作者： Chen, Tiffany L. Ciocarlie, Matei Cousins, Steve Grice, Phillip Hawkins, Kelsey Hsiao, Kaijen Kemp, Charles C. King, Chih-Hung Lazewatsky, Daniel A. Leeper, Adam Nguyen, Hai Paepcke, Andreas Pantofaru, Caroline Smart, William D. Takayama, Leila Healthcare Robotics Lab Georgia Institute of Technology Atlanta GA United States Media and Machines Laboratory Department of Computer Science and Engineering Washington University in St. Louis St. Louis MO United States Willow Garage Inc. Menlo Park CA United States

ISBN: (纸本)9781467317375

The Robots for Humanity project aims to enable people with severe motor impairments to interact with their own bodies and their environment through the use of an assistive mobile manipulator, thereby improving their quality of life. Assistive mobile manipulators (AMMs) are mobile robots that physically manipulate the world in order to provide assistance to people with disabilities. They present an exciting frontier for assistive technology, as they can operate away from the user, have a large dexterous workspace (due to their mobility), and not directly encumber their users. The cornerstone of this project is an ongoing, interactive design process with a quadriplegic user, Henry Evans, and his wife and primary caregiver, Jane Evans. Henry has been enabled, through the use of a PR2 robot, to scratch his own face, shave, fetch a towel from his kitchen, and hand out Halloween candy to trick-ortreating children at a local mall. © 2012 IEEE.

关键词： Manipulators

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A network based vulnerability scanner for detecting SQLI attacks in web applications

A network based vulnerability scanner for detecting SQLI att...

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International Conference on Recent Advances in Information Technology (RAIT)

作者： Avinash Kumar Singh Sangita Roy Robotics and Artificial Intelligence Laboratory Indian Institute of Information Technology Allahabad India Department of Computer Science & Engineering Indian Institute of Technology Patna India

Today is the world of information era, where information is available on just our single click. Web applications are playing a magnificent role in this, every organizations are mapping their business from a room to the world with the help of these Web Apps. Web applications generally consist of a three tier architecture where database is in the third pole, which is the most valuable assets in any organization, as the adaptation of web applications are increases day by day, various attacks are possible against this. SQL injection is an attack in which an attacker directly compromises the database, that's why this is a most threatening attack. Various Vulnerability scanners has been proposed to deal with this, but none of them are able to detect SQLI completely, the existing tools have the accuracy ratio very less as well as they produce a high rate of false positive, apart from that all these tools take much time to scan. So here we are presenting a network based vulnerability scanner approach which provides a better coverage and with no false positive within a short span of time.

关键词： Databases Servers Testing Payloads Information technology Security Libraries

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Hybrid control algorithm for humanoid robots walking based on episodic reinforcement learning

Hybrid control algorithm for humanoid robots walking based o...

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Proceedings of the Biannual World Automation Congress

作者： Dusko Katic Aleksandar Rodic Eduardo Jose Bayro-Corrochanoy Robotics Laboratory Mihailo Pupin Institute University of Belgrde Belgrade Serbia CINVESTAV Unidad Guadalajara Department of Electrical Engineering and Computer Science Zapopan Jalisco Mexico

This paper presents a hybrid dynamic control approach to acquire biped walking of humanoid robots focussed on policy gradient episodic reinforcement learning with fuzzy evaluative feedback. The proposed structure of controller involves two feedback loops: conventional computed torque controller and episodic reinforcement learning controller. Reinforcement learning part includes fuzzy information about Zero-Moment Point errors. To demonstrate the effectiveness of our method, simulation tests using middle-size 36 DOFs humanoid robot MEXONE are performed.

关键词： Learning Legged locomotion Heuristic algorithms Humanoid robots Joints Trajectory

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Stability and transparency improvement in haptic device employing both MR-brake and active actuator

Stability and transparency improvement in haptic device empl...

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2012 21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012

作者： Baser, Ozgur Konukseven, E. Ilhan Gurocak, Hakan Mechanical Engineering Department Middle East Technical University Universiteler Mah. Dumlupinar Blv. No:1 06800 Çankaya Ankara Turkey Robotics and Automation Laboratory Washington State University Vancouver WA United States School of Engineering and Computer Science Washington State University Vancouver WA 98686 United States

ISBN: (纸本)9781467346054

An ideal haptic device should transmit a wide range of stable virtual model impedances (Z-width) with high transparency. Magneto-rheological fluid (MR) brakes are advantageous in haptic devices since they are passive actuators. However, they cannot provide high transparency and smooth interaction due to high viscous friction, residual torque, slow response, sticking and hysteresis effects. On the other hand, active actuators cannot simulate high virtual impedances stably, but provide high transparency with a closed loop control algorithm. In the proposed hybrid actuation a task divider control (TDC) algorithm was developed for torque sharing between two actuators to provide a large Z-width and improve both transparency and smoothness. The algorithm employs two parameters which were estimated experimentally and extended to entire achievable impedance range by artificial neural network (ANN) and curve fitting techniques. A 1-DOF device having an excitation motor at the user side and brushless DC motor and MR-brake in the haptic side was used in the experiments. The excitation motor is used to generate a white noise torque input to simulate a user for frequency domain transparency tests. Results of the proposed and conventional closed loop impedance control (CLIC) algorithms were compared. The proposed algorithm improves the transparency of MR-brake by eliminating its drawbacks and presents a larger Z-width than the active actuator alone. © 2012 IEEE.

关键词： Hysteresis

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