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检索条件"任意字段=Sensor Fusion and Decentralized Control in Robotic Systems IV Conference"

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A unique sensor fusion system for coordinate measuring machine tasks

A unique sensor fusion system for coordinate measuring machi...

引用

conference on sensor fusion and decentralized control in Autonomous robotic systems

作者： Nashman, M Yoshimi, B Hong, TH Rippey, WG Herman, M National Institute of Standards and Technology Bldg. 220B124 Gaithersburg MD 20899 United States

ISBN: (纸本)0819426415

This paper describes a real-time hierarchical system that fuses data from vision and touch sensors to improve the performance of a coordinate measuring machine (CMM) used for dimensional inspection tasks. The system consists of sensory processing, world modeling, and task decomposition modules. It uses the strengths of each sensor-the precision of the CMM scales and the analog touch probe and the global information provided by the low resolution camera-to improve the speed and flexibility of the inspection task. In the experiment described, the vision module performs all computations in image coordinate space. The part's boundaries' are extracted during an initialization process and then the probe's position is continuously updated as it scans and measures the part surface. The system fuses the estimated probe velocity and distance to the part boundary in image coordinates with the estimated velocity and probe position provided by the CMM controller. The fused information provides feedback to the motion controller as it guides the touch probe to scan the part. We also discuss integrating information from the vision system and the probe to autonomously collect data for 2-D to 3-D calibration, and work to register Computer Aided Design (CAD) models with images of parts in the workplace.

关键词： computer aided design (CAD) calibration computer vision coordinate measuring machine (CMM) real-time control system (RCS) sensor fusion touch probe

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Decision and feature fusion over the fractal inference network using camera and range sensors

Decision and feature fusion over the fractal inference netwo...

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conference on sensor fusion amd decentralized control in robotic systems

作者： Erkmen, I Erkmen, AM Ucar, E Middle E Tech Univ Dept Elect & Elect Engn TR-06531 Ankara Turkey

ISBN: (纸本)0819429848

The objective of the ongoing work is to fuse information from uncertain environmental data taken by cameras, short range sensors including infrared and ultrasound sensors for strategic target recognition and task specific action in Mobile Robot applications. Our present goal in this paper is to demonstrate target recognition for service robot in a simple office environment. It is proposed to fuse all sensory signals obtained from multiple sensors over a fully layer-connected sensor network system that provides an equal opportunity competitive environment for sensory data where those bearing less uncertainty, less complexity and less inconsistencies with the overall goal survive, while others fade out. In our work, this task is achieved as a decision fusion using the Fractal Inference Network (FIN), where information patterns or units- modelled as textured belief functions bearing a fractal dimension due to uncertainty - propagate while being processed at the nodes of the network. Each local process of a node generates a multiresolutional feature fusion. In this model, the environment is observed by multisensors of different type, different resolution and different spatial location without a prescheduled sensing scenario in data gathering. Node activation and flow control of information over the FIN is performed by a neuro-controller, a concept that has been developed recently as an improvement over the classical Fractal Inference Network. In this paper, the mathematical closed form representation for decision fusion over the FIN is developed in a way suitable for analysis and is applied to a NOMAD mobile robot servicing an office environment.

关键词： fractal inference network multiresolutional sensor fusion belief functions evidential logical sensors textured belief networks

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Cooperative robotic sentry vehicles

Cooperative robotic sentry vehicles

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sensor fusion and decentralized control in robotic systems II conference

作者： Feddema, J Lewis, C Klarer, P Eisler, R Caprihan, R Sandia Natl Labs Intelligent Syst & Robot Ctr Albuquerque NM 87185 USA

ISBN: (纸本)0819434329

As part of a project for the Defense Advanced Research Projects Agency, Sandia National Laboratories' Intelligent systems & robotics Center is developing and testing the feasibility of a cooperative team of robotic sentry vehicles to guard a perimeter and to perform a surround task. This paper describes on-going activities in the development of these robotic sentry vehicles. To date, we have developed a robotic perimeter detection system which consists of eight "Roving All Terrain Lunar Explorer Rovers" (RATLER(TM)), a laptop-based base-station, and several Miniature Intrusion Detection sensors (MIDS). A radio frequency receiver on each of the RATLER vehicles alerts the sentry vehicles of alarms from the hidden MIDS. When an alarm is received, each vehicle decides whether it should investigate the alarm based on the proximity of itself and the other vehicles to the alarm As one vehicle attends an alarm, the other vehicles adjust their position around the perimeter to better prepare for another alarm For the surround task both potential field and A* search path planners have been added to the base-station and vehicles. At the base-station, the operator specifies goal and exclusion regions on a GIS map. The path planner generates vehicle paths that are previewed by the operator. Once the operator has validated the path, the appropriate information is downloaded to the vehicles. For the potential field path planner, the polygons and line segments that represent the obstacles and goals are downloaded to the vehicles, instead of the simulated paths. On board the vehicles, the same potential field path planner generates the path except that it uses the true location of itself and the nearest neighboring vehicle. For the A* path planner, the actual path is downloaded to the vehicles because of limited on-board computational power.

关键词： mobile robots cooperative control distributed autonomous systems

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A modular planning/control architecture for the semi-autonomous control of telerobots in a hazardous environment

A modular planning/control architecture for the semi-autonom...

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conference on sensor fusion and decentralized control in Autonomous robotic systems

作者： Tarn, TJ Brady, K Xi, N Love, L Lloyd, P Burks, B Davis, H Department of Systems Science and Mathematics Washington University St. Louis MO 63130 United States Oak Ridge National Laboratory Robotics and Process Systems Division Oak Ridge TN 37831-6304 United States

ISBN: (纸本)0819426415

The Oak Ridge National Laboratory (ORNL) has demonstrated, evaluated, and deployed a telerobotic approach for the remote retrieval of hazardous and radioactive wastes from underground storage tanks. The telerobotic system, built by Spar Aerospace Ltd., is capable of dislodging and removing sludge and gravel-like wastes without endangering the human operators through contact with the environment. Working in partnership with Washington University, ORNL has implemented an Event Based Planner/Function Based Sharing control (FBSC) as an integral part of their overall telerobotic architecture. These aspects of the system enable the seamless union of the human operator and an autonomous controller in such a way to emphasize safety without any loss of performance. The cooperation between ORNL, Spar, and Washington University requires an open and modular control software architecture to enable the parallel development of various components of the system. controlShell has been used as the underlying software architecture to help meet these criteria of generality and modularity.

关键词： intelligent control semi-autonomous control teleoperation control systems

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Analysis of decentralized variable structure control for collective search by mobile robots

Analysis of decentralized variable structure control for col...

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sensor fusion and decentralized control in robotic systems iv

作者： Goldsmith, Steven Feddema, John Robinett, Rush Sandia National Laboratories Albuquerque NM 87185-8926 United States

This paper presents an analysis of a decentralized coordination strategy for organizing and controlling a team of mobile robots performing collective search. The alpha-beta coordination strategy is a family of collective search algorithms that allow teams of communicating robots to implicitly coordinate their search activities through a division of labor based on self-selected roles. In an alpha-beta team, alpha agents are motivated to improve their status by exploring new regions of the search space. Beta agents are conservative, and rely on the alpha agents to provide advanced information on favorable regions of the search space. An agent selects its current role dynamically based on its current status value relative to the current status values of the other team members. Status is determined by some function of the agent's sensor readings, and is generally a measurement of source intensity at the agent's current location. Variations on the decision rules determining alpha and beta behavior produce different versions of the algorithm that lead to different global properties. The alpha-beta strategy is based on a simple finite-state machine that implements a form of Variable Structure control (VSC). The VSC system changes the dynamics of the collective system by abruptly switching at defined states to alternative control laws. In VSC, Lyapunov's direct method is often used to design control surfaces which guide the system to a given goal. We introduce the alpha-beta algorithm and present an analysis of the equilibrium point and the global stability of the alpha-beta algorithm based on Lyapunov's method.

关键词： Mobile robots

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Learning manipulation skills by combining PCA technique and adaptive interpolation

Learning manipulation skills by combining PCA technique and ...

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conference on sensor fusion amd decentralized control in robotic systems

作者： Zhang, JW Knoll, A Univ Bielefeld Fac Technol D-33501 Bielefeld Germany

ISBN: (纸本)0819429848

We propose an approach for learning manipulation skills of robot arms based on complex sensor data. The first component of the used model serves as a projection of high-dimensional input data into an eigenspace by using Principal Component Analysis (PCA). Complex sensor data can be efficiently compressed if robot movements achieving optimal manipulation tasks are constrained to a local scenario. The second component is an adaptive B-spline model whose input space is the eigenspace and whose outputs are robot motion parameters. In the offline learning phase, an appropriate eigenspace can be built by extracting eigenvectors from a sequence of sampling sensor patterns. The B-spline model is then trained for smooth and correct interpolation. In the online application phase, through the cascaded two components, a sensor pattern can be mapped into robot action for performing the specified task. This approach makes tasks such as visually guided positioning much easier to implement. Instead of undergoing cumbersome hand-eye calibration processes, our system is trained in a supervised learning procedure using systematical perturbation motion around the optimal manipulation pose. If more sensors or some robust geometric features from the image processing are available, they can also be added to the input vector. Therefore, the proposed model can integrate multiple sensors and multiple modalities. Our experimental setup is a two-arm robotic system with "self-viewing" hand-eyes and force/torque sensors mounted on each parallel jaw gripper. Implementations with one-hand grasping and two-hand assembly based on visual and force sensors show that the method works even when no robust geometric features can be extracted from the sensor pattern.

关键词： sensor-based skills hand-eye task based mapping learning

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A next best view algorithm for object reconstruction

A next best view algorithm for object reconstruction

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conference on sensor fusion amd decentralized control in robotic systems

作者： Wong, LM Dumont, C Abidi, MA Univ Tennessee Dept Elect Engn IRIS Lab Knoxville TN 37996 USA

ISBN: (纸本)0819429848

The goal of sensor planning in 3-D object reconstruction is to acquire enough 2-D information about an object to create a 3-D model of that object. This requires the acquisition of images from different viewpoints, the registration of each view, and the integration of all acquired information into a single model. Our focus is on the acquisition stage;we want to determine sensor poses or viewpoints that provide the next best view in an object reconstruction task. The Next Best View (NBV) is the determination of a new sensor position that reveals an optimal amount of unknown information about the object being modeled. The goal of a NBV reconstruction system is usually to model an object using the smallest number of views. Our approach to complete this task is to study a volumetric representation of the model after a new view is obtained. Since the volumetric model consists of known and unknown information, we want to find the viewpoint from which the largest amount of unknown data can be acquired. The NBV algorithm is integrated into a system that acquires synthetic range data from a computer object model, calculates new viewpoints according to an objective function, and reconstructs a complete volumetric model of the object of interest. The NBV algorithm is described in depth and experimental results are given. Also included is a review of related work.

关键词： next best view sensor planning 3-D reconstruction

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A Java-based decentralised tracking simulator

A Java-based decentralised tracking simulator

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conference on sensor fusion and decentralized control in Autonomous robotic systems

作者： Sutcliffe, JH Nicholson, D Deaves, RH Advanced Information Processing Department Sower by Research Centre British Aerospace Filton Bristol BS12 7QW PO Box 5 United Kingdom

ISBN: (纸本)0819426415

The potential of the new language of Java is explored in the development of a decentralised target tracking simulator. Three particular features of the Java language prompted this initial investigation, namely that it is fully object-oriented, graphical user interfaces (GUIs) may be simply constructed, and it, is Internet compatible. In the context of this paper, the full power of Java's object-oriented design is harnessed to reflect the inherent modularity of decentralised tracking systems. This enables, for example, tracks with their associated information structures, and platforms with their associated tracks, to be encapsulated within advanced data structures, or classes. An easy-to-build GUI, based on Java's Abstract Windowing Toolkit (AWT), permits the end-user to rapidly configure a test scenario by selecting simulation variables from pop-up menus, such as the number of sensor platforms, the number of targets, and the type of target trajectory. Additionally, Java's Internet compatibility allows the simulation, in principle, to be accessed remotely. Development work on the Java tracking simulator is described, and illustrated in terms of pseudo-code and screen snapshots. We conclude that in terms of our long-range goal of constructing a simulator that can aid the investigation of decentralised systems under a range of world scenarios and operating conditions, Java shows considerable promise.

关键词： Java target tracking simulator decentralised data-fusion Kalman filter

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Babybot: a biologically inspired developing robotic agent

Babybot: a biologically inspired developing robotic agent

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conference on sensor fusion and decentralized control in robotic systems III

作者： Metta, G Panerai, F Sandini, G Univ Genoa DIST LIRA Lab Genoa Italy

ISBN: (纸本)0819438618

The study of development either artificial or biological, can highlight the mechanisms underlying learning and adaptive behavior. We shall argue whether developmental studies might provide a different and potentially interesting perspective either on how to build an artificial adaptive agent, or on understanding how the brain solves sensory, motor, and cognitive tasks. It is our opinion that the acquisition of the proper behavior might indeed be facilitated because within an ecological context, the agent, its adaptive structure and the environment dynamically interact thus constraining the otherwise difficult "learning problem". In very general terms we shall describe the proposed approach and supporting biological related facts. In order to further analyze these aspects from the modeling point of view, we shall demonstrate how a twelve degrees of freedom "baby" humanoid robot acquires orienting and reaching behaviors, and what advantages the proposed framework might offer. In particular, the experimental setup consists of a five degrees-of-freedom (dof) robot head, and an off-the-shelf six dof robot manipulator, both mounted on a rotating base: i.e. the torso. From the sensory point of view, the robot is equipped with two space-variant cameras, an inertial sensor simulating the vestibular system, and proprioceptive information through motor encoders. The biological parallel is exploited at many implementation levels. It is worth mentioning, for example, the space-variant eyes, exploiting foveal and peripheral vision in a single arrangement, the inertial sensor providing efficient image stabilization (vestibulo-ocular reflex).

关键词： biomimetic robotics learning development sensori-motor coordination

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Multimedia modeling of autonomous mobile robots

Multimedia modeling of autonomous mobile robots

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conference on sensor fusion and decentralized control in Autonomous robotic systems

作者： Zada, F Guirguis, S Arab Academy for Science and Technology and Maritime Transport (Egypt) Alexandria Univ. (Egypt)

ISBN: (纸本)0819426415

Modeling of Autonomous Mobile Robots (AMRs) is sought to enable the designers to investigate various aspects of the design before the actual implementation takes place. Simulation techniques are undoubtedly enriching the design tools, by which the designer would be able to vary the design parameters as appropriate until achieving some optimal performance point. Although they are general purpose, multimedia tools, especially authoring tools, cant give the AMR designer some degree of assistance in fulfilling his simulation task as fast as possible. This rapid prototyping tool is rather cost effective, and allow the designer to interactively manipulate his design in simple steps. In this paper, a multimedia environment has been constructed to enable designers to simulate AMRs in order to investigate aspects concerning their kinematics and dynamics. It is also sought that these design experiences can be gathered and categorized in a tutoring system that could be used by practitioners and students enrolled in highly technical courses such as robotics. The rich multimedia environment can assist the learner in so many ways by devising examples, suggesting solutions and design tradeoffs that have been experienced before.

关键词： intelligent tutoring systems multimedia authoring tools robotics multimedia learning environments modeling and simulation

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