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Recognizing interaction from a robot's perspective

Recognizing interaction from a robot's perspective

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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： T. Salter F. Michaud K. Dautenhahn D. Letourneau S. Caron LABORIUS-Research Laboratory on Mobile Robotics and Intelligent Systems Department of Electrical Engineering and Computer Engineering Université de Sherbrook Sherbrooke QUE Canada Adaptive Systems Research Group School of Computer Science University of Herfordshire Hatfield UK

For meaningful interaction between a robot and a human, an autonomous robot must recognize whether the experienced situation is created by people or by the environment. Using only proprioceptive data from a mobile robotic platform, we discover that it is possible to distinguish sensory data patterns involving interaction. These patterns are obtained whilst navigating varying environments, both human populated and unpopulated. The paper reports the initial set of trials using Roball, a spherical mobile robot. Also described is the experimental methodology currently followed to validate the hypothesis that child interaction can be perceived directly from navigation sensors onboard a robotic platform.

关键词： Robot sensing systems Mobile robots Human robot interaction Navigation Intelligent robots Sensor phenomena and characterization Infrared sensors Educational institutions Plastics Mobile computing

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Learning distributed grasp in presence of redundant agents

Learning distributed grasp in presence of redundant agents

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： A.H. Elahibakhsh M. Nili Ahmadabadi F. Janabi-Sharifi B. Nadjar Araabi AI & Robotics Laboratory Center of Excellence for Control and Intelligent Processing Department of Electrical and Computer Eng. Institute for Studies on Theoretical Physics and Mathematics University of Tehran Tehran Iran Robotics and Manufacturing Automation Lab Department of Mechanical and Industrial Engineering Ryerson University Toronto ONT Canada

Learning distributed object grasp by a group of robots with redundant members is the main focus of this paper. In Elahibakhsh, A. H., et al. (2004), we tackled the problem of learning form closure grasp for planar convex objects by multiple non-communicating robots without any information about the shape of objects. In this paper, the problem in presence of redundant agents is investigated. Agents' states and actions are designed such that the group learns grasping different objects using Q-learning method. As the environment is not intelligent enough to assess each agent's effect on the team performance, a credit assignment algorithm based on knowledge evaluation is designed. The proposed method considers the environment credit for the team, number of redundant agents, and the expertness level of each agent in its credit assignment. Applicability of the designed approach is verified through a set of simulations. It is shown that the team learns grasping different objects. Therefore, it is expected that the proposed method can be extended for distributed grasp of deformable objects

关键词： Intelligent robots Learning Robot sensing systems Shape Cognitive robotics robotics and automation Intelligent agent Algorithm design and analysis Grasping Redundancy

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Generating multi-folded torus chaotic attractors

Generating multi-folded torus chaotic attractors

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International Conference on Physics and Control

作者： Simin Yu Jinhu Lu Henry Leung Guanrong Chen College of Automation Guangdong University of Technology Guangzhou China Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy and Sciences Beijing China Department of Electrical and Computer Engineering University of Calgary AB Canada Department of Electronic Engineering City University of Hong Kong China

A systematic methodology for generating multi-folded torus chaotic attractors from a simple three-dimensional piecewise-linear system is presented in this paper. Theoretical analysis shows that multi-folded torus chaotic attractors can be created via alternative switching between two piecewise-linear systems. A novel circuit diagram is designed for physically creating multi-folded torus chaotic attractors. This is the first time in the literature to experimentally verify a maximum 9-folded torus chaotic attractor that is generated by an analog circuit.

关键词： Chaos Piecewise linear techniques Oscillators Laboratories Analog circuits Electric breakdown Bifurcation Educational institutions automation Automatic generation control

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Modeling of human driving behavior based on piecewise linear model

Modeling of human driving behavior based on piecewise linear...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Jong-Hae Kim S. Okuma Young-Woo Kim Don-Ha Hwang Min-Huei Kim Dong-Hee Kim Department of Electrical Engineering and Computer Science Graduate School of Engineering University of Nagoya Japan Space Robotics Research Center Toyota Technological Institute Nagoya Japan Industry Applications Research Laboratory Korea Electrotechnology Research Institute Changwon South Korea Department of Electrical & Automation Engineering Yeungnam College of Science and Technology Daegu South Korea Department of Electrical Engineering Yeungnam University Kyungbuk South Korea

This paper presents the development of the modeling strategy of the human driving behavior based on the expression as Piecewise Linear (PWL) model focusing on the driver’s stopping maneuver. The driving data are collected by using the three-dimensional driving simulator based on CAVE, which provides stereoscopic immersive vision. In our modeling, the relationship between the driver’s sensory information and the operation of the driver such as braking amount is expressed by PWL model, which is a class of Hybrid Dynamical System (HDS). The identification problem for the PWL model is formulated as the Mixed Integer Linear Programming (MILP) by transforming the switching conditions into binary variables. From the obtained results, it is found that the driver appropriately switches the ‘control low’ according to the sensory information. These results enable us to capture not only the physical meaning of the driving skill, but also the decision-making aspect (switching conditions) in the driver’s stopping maneuver.

关键词： Humans Piecewise linear techniques Hidden Markov models Decision making computer science Space technology robotics and automation Switches Automatic control Service robots

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Task allocation for event-aware spatiotemporal sampling of environmental variables

Task allocation for event-aware spatiotemporal sampling of e...

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2005 IEEE/RSJ International Conference on Intelligent Robots and systems

作者： M.A. Batalin G.S. Sukhatme Yan Yu R. Pon J. Gordon M.H. Rahimi W.J. Kaiser G.J. Pottie D.E. Estrin Center for Robotics and Embedded Systems Robotic Embedded Systems Laboratory Computer Science Department University of Southern California Los Angeles CA USA Department of Computer Science Center for Embedded Networked Sensing University of California Los Angeles CA USA Department of Electrical Engineering Center for Embedded Networked Sensing University of California Los Angeles CA USA

Monitoring of environmental phenomena with embedded networked sensing confronts the challenges of both unpredictable variability in the spatial distribution of phenomena coupled with the demands for a high spatial sampling rate in three dimensions. For example, low distortion mapping of critical solar radiation properties in forest environments may require two-dimensional spatial sampling rates of greater than 10 samples/m/sup 2/ over transects exceeding 1000 m/sup 2/. Clearly, adequate sampling coverage of such transect requires an impractically large number of sensing nodes. A new approach, networked infomechanical system (NIMS), has been introduced to combine autonomous-articulated and static sensor nodes enabling sufficient spatiotemporal sampling density over large transects to meet a general set of environmental mapping demands. This paper describes our work on the critical parts of NIMS, the task allocation module. We present our methodologies and the two basic greedy task allocation policies - based on time of the task arrival (time policy) and distance from the robot to the task (distance policy). We present results from NIMS deployed in a forest reserve and from a lab testbed. The results show that both policies are adequate for the task of spatiotemporal sampling, but also complement each other. Finally, we suggest the future direction of research that would both help us better quantify the performance of our system and create more complex policies.

关键词： Spatiotemporal phenomena Sampling methods Sensor phenomena and characterization Solar radiation Mobile robots Atmospheric measurements Ecosystems Robot sensing systems Embedded system computer science

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Fusion of visual and thermal signatures with eyeglass removal for robust face recognition

Fusion of visual and thermal signatures with eyeglass remova...

引用

2004 IEEE computer Society Conference on computer Vision and Pattern Recognition Workshops, CVPRW 2004

作者： Heo, Jingu Kong, Seong G. Abidi, Besma R. Abidi, Mongi A. Imaging Robotics and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Tennessee KnoxvilleTN37996-2100 United States

This paper describes a fusion of visual and thermal infrared (IR) images for robust face recognition. Two types of fusion methods are discussed: data fusion and decision fusion. Data fusion produces an illumination-invariant face image by adaptively integrating registered visual and thermal face images. Decision fusion combines matching scores of individual face recognition modules. In the data fusion process, eyeglasses, which block thermal energy, are detected from thermal images and replaced with an eye template. Three fusion-based face recognition techniques are implemented and tested: Data fusion of visual and thermal images (Df), Decision fusion with highest matching score (Fh), and Decision fusion with average matching score (Fa). A commercial face recognition software FaceIt® is used as an individual recognition module. Comparison results show that fusion-based face recognition techniques outperformed individual visual and thermal face recognizers under illumination variations and facial expressions. © 2004 IEEE.

关键词： Face recognition

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An intelligent system for Aerial image Retrieval and Classification

引用

3rd Hellenic Conference on Artificial Intelligence, SETN 2004

作者： Gasteratos, Antonios Zafeiridis, Panagiotis Andreadis, Ioannis Laboratory of Robotics and Automation Section of Production Systems Department of Production and Management Engineering Democritus University of Thrace Building of University’s Library Kimmeria XanthiGR-671 00 Greece Laboratory of Electronics Section of Electronics and Information Systems Technology Department of Electrical and Computer Engineering Democritus University of Thrace Vassilisis Sophias 12 XanthiGR-671 00 Greece

ISBN: (纸本)3540219374

Content based image retrieval is an active research area of pattern recognition. A new method of extracting global texture energy descriptors is proposed and it is combined with features describing the color aspect of texture, suitable for image retrieval. The same features are also used for image classification, by its semantic content. An exemplar fuzzy system for aerial image retrieval and classification is proposed. The fuzzy system calculates the degree that a class, such as sea, clouds, desert, forests and plantations, participates in the input image. Target applications include remote sensing, computer vision, forestry, fishery, agricultures, oceanography and weather forecasting. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Fuzzy systems

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Super media enhanced internet-based robotics

Super media enhanced internet-based robotics

引用

IEEE International Conference on Mechatronics and automation

作者： Ning Xi The Laboratory of Robotics and Automation Department of Electrical and Computer Engineering Michigan State University East Lansing MI USA

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Fusion of Visual and Thermal Signatures with Eyeglass Removal for Robust Face Recognition

Fusion of Visual and Thermal Signatures with Eyeglass Remova...

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IEEE computer Society Conference on computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Jingu Heo S.G. Kong B.R. Abidi M.A. Abidi Imaging Robotics and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Tennessee Knoxville TN USA

关键词： Robustness Face recognition Face detection Lighting Optical imaging Intelligent robots Infrared imaging Pattern recognition computer vision Temperature

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Fusion of visual, thermal, and range as a solution to illumination and pose restrictions in face recognition

Fusion of visual, thermal, and range as a solution to illumi...

引用

International Carnahan Conference on Security Technology

作者： B. Abidi S. Huq M. Abidi Imaging Robotics and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Tennessee Knoxville TN USA

This paper summarizes the various components of face recognition research conducted at the IRIS Lab. First, fusion of visual and thermal infrared (IR) images for robust face recognition is discussed. Two techniques are implemented: data fusion and decision fusion. With the knowledge that eyeglasses block the emission of thermal energy, an algorithm is designed to detect and replace eyeglasses with an eye template in thermal images. A commercial face recognition software (FaceIt/spl reg/) is used in the evaluation of the various fusion algorithms. Comparison results show that fusion-based face recognition outperforms individual visual or thermal face recognizers under illumination variations and facial expressions. Efforts in the 3D arena are also described. Results of high resolution stereo-based 3D reconstruction of faces are shown and analyzed, in a first approach, then in a second approach, a warping technique is applied to overlay color and thermal textures on 3D mannequin head models, obtained using a laser range scanner.

关键词： Lighting Face recognition Face detection Iris Infrared imaging Robustness Algorithm design and analysis Software algorithms Image reconstruction Image color analysis

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