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

共 121 条记录，以下是51-60 订阅

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A Bayesian network approach to sensor fusion of aerial imagery

A Bayesian network approach to sensor fusion of aerial image...

引用

sensor fusion and decentralized control in robotic systems IV Conference

作者： Kämpke, T Elfes, A Res Inst Appl Knowledge Proc Ulm Germany

ISBN: (纸本)0819442992

Estimation of superresolution models is a problem of great interest across a broad range of applications in computer vision and robot perception. However, approaches to superresolution model estimation tend to have very high computational complexity. In this paper, we address the superresolution model estimation problem using a general modelling approach based on two-layer Bayesian or causal networks. sensor nodes encode stochastic sensor models, while model nodes encode probabilistic inferences made about their state. The model nodes are arranged as a MRF spatial lattice. We derive optimal estimation procedures for several classes of superresolution world models, including single and multiple observation models, and analyze their computational complexity. We subsequently introduce three suboptimal estimation methods: Reinjection of Marginals (ROM), Independent Opinion Pool (IOP), and Non-Propagation of Neighbours (NPN). These methods, although suboptimal, are extremely efficient and provide high-quality superresolution estimates. We conclude by presenting results from the application of these procedures to the fusion of multiple aerial images to form highly accurate superresolution images for airborne surveying and monitoring applications.

关键词： stochastic sensor fusion Bayesian networks superresolution image estimation Markov random fields stochastic spatial models airborne monitoring

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Algebraic reconstruction technique fusing with pointwise measurements in optical computerized tomography

Algebraic reconstruction technique fusing with pointwise mea...

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sensor fusion and decentralized control in robotic systems IV Conference

作者： Yao, W Adjouadi, M Florida Int Univ Dept Elect & Comp Engn Miami FL 33174 USA

ISBN: (纸本)0819442992

In Optical Computerized Tomography (OCT) reconstruction, the well-known restrictions are positivity of the field and boundary conditions. In this paper, the extra information - the probed value of a set of isolated points, which is readily available in industrial practice, is introduced into OCT based on information fusing (IF) techniques. To solve the incompatibility of the different testing systems, which brings high frequencies disturbance to the reconstruction, an adaptive algorithm is developed to make a good use of the pointwise priori. The algorithm derived from the third Algebraic Reconstruction Technique (ART3), is not only friendly to the information from various measuring systems, but very robust to irregular noise and even missing projections as well. By analyzing the simulated experiments, we strongly suggest that OCT give some attention to the information from external resources.

关键词： Optical Computerized Tomography Algebraic Reconstruction Techniques information fusion

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sensor-fused navigation and manipulation from a planetary rover

Sensor-fused navigation and manipulation from a planetary ro...

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Conference on sensor fusion amd decentralized control in robotic systems

作者： Baumgartner, ET Leger, PC Schenker, PS Huntsberger, TL CALTECH Jet Prop Lab Sci & Technol Dev Sect Pasadena CA 91109 USA

ISBN: (纸本)0819429848

This paper describes the development of advanced rover navigation and manipulation techniques for use by NASA's Sample Return Rover. These techniques include an algorithm for estimating the change in the rover's position aid orientation ky registering successive range maps from the rover's hazard avoidance stereo camera pair and the fusion of this information with the rover's wheel odometry. This map registration technique is also extended to register range maps to an a priori model-based range map for relative rover position and orientation determination. Finally, a technique for the robust and precise positioning of a rover-mounted manipulator using visual feedback from the rover's stereo pair is presented. Experimental results for each of these techniques is documented in this paper.

关键词： rover navigation state estimation map registration vision-based manipulation

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sensor supervision and multi-agent commanding by means of "Projective Virtual Reality"

Sensor supervision and multi-agent commanding by means of "P...

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Conference on sensor fusion amd decentralized control in robotic systems

作者： Rossmann, J Univ Dortmund Inst Robot Res D-44227 Dortmund Germany

ISBN: (纸本)0819429848

When autonomous systems with multiple agents are considered, conventional control- and supervision technologies are often inadequate because the amount of information available is often presented in a way that the user is effectively overwhelmed by the displayed data. New virtual reality (VR) techniques can help to cope with this problem, because VR offers the chance to convey information in a intuitive manner and can combine supervision capabilities and new, intuitive approaches to the control of autonomous systems. In the approach taken, control and supervision issues were equally stressed and finally led to the new ideas and the general framework for Projective Virtual Reality. The key idea of this new approach for an intuitively operable man machine interface for decentrally controlled multi-agent systems is to let the user act in the virtual world, detect the changes and have an action planning component automatically generate task descriptions for the agents involved to project actions that have been carried out by users in the virtual world into the physical world, e.g. with the help of robots. Thus the Projective Virtual Reality approach is to split the job between the task deduction in the VR and the task "projection" onto the physical automation components by the automatic action planning component. Besides describing the realized projective virtual reality system, the paper will also describe in detail the metaphors and visualization aids used to present different types of (e.g. sensor-) information in an intuitively comprehensible manner.

关键词： Virtual reality Robots control systems sensors Visualization Space robots Cameras robotic systems Computer simulations robotics

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sensor-fused autonomous guidance of a mobile robot and applications to Mars Sample Return operations

Sensor-fused autonomous guidance of a mobile robot and appli...

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sensor fusion and decentralized control in robotic systems II Conference

作者： Huntsberger, TL Baumgartner, ET Aghazarian, H Cheng, Y Schenker, PS Leger, PC Iagnemma, KD Dubowsky, S CALTECH Jet Prop Lab Sci & Technol Dev Sect Pasadena CA 91109 USA

ISBN: (纸本)0819434329

Generally, there are multiple sensor suites on existing rover platforms such as NASA's Sample Return Rover (SRR) and the Field Integrated Design and Operations (FIDO) rover at JPL. Traditionally, these sensor suites have been used in isolation for such tasks as planetary surface traversal. For example, although distant obstacle information is known from the narrow FOV navigation camera (NAVCAM) suite on SRR or FIDO, it is not explicitly used at this time for augmentation of the wide FOV hazard camera (HAZCAM) information for obstacle avoidance. This paper describes the development of advanced rover navigation techniques. These techniques include an algorithm for the generation of range maps using the fusion of information from the NAVCAMs and HAZCAMs, and an algorithm for registering range maps to an a priori model-based range map for relative rover position and orientation determination. Experimental results for each of these techniques are documented in this paper.

关键词： rover navigation state estimation map registration

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Towards a perception and sensor fusion architecture for a robotic airship

Towards a perception and sensor fusion architecture for a ro...

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sensor fusion and decentralized control in robotic systems IV Conference

作者： Elfes, A Carvalho, JRH Bergerman, M Bueno, SS Res Inst Appl Knowledge Proc Ulm Germany

ISBN: (纸本)0819442992

robotic unmanned aerial vehicles have an enormous potential as observation and data-gathering platforms for a wide variety of applications. This paper discusses components of a perception architecture being developed for AURORA (Autonomous Unmanned Remote Monitoring robotic Airship). The AURORA project focusses on the development of the technologies required for substantially autonomous unmanned aerial vehicles, and for robotic airships in particular. We describe our approach to spatial representation, which incorporates a Markov Random Field (MRF) model used for encoding spatial inferences obtained from sensor imagery. We present a dynamic approach to target recognition that uses a cycle of hypothesis formulation, experiment planning for hypothesis validation, experiment execution, and hypothesis evaluation to confirm or reject the classification of targets into object classes. We also discuss an approach to automatic hovering and landing using visual servoing techniques and interaction matrices, and present preliminary experimental results from our work.

关键词： UAV robotic airship perception architecture Markov random field active perception stochastic sensor models visual servoing

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Integrated virtual space control system utilizing hand gesture for intelligent house

Integrated virtual space control system utilizing hand gestu...

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sensor fusion and decentralized control in robotic systems IV Conference

作者： Mori, T Shimosaka, M Sato, T Univ Tokyo Bunkyo Ku Tokyo 1138656 Japan

ISBN: (纸本)0819442992

This paper proposes an integrated virtual space control system for intelligent house room which consists of many kinds of appliances and information systems to enrich human life. The main features of the system are 1) the user controls the system via a large size display which represents system state linked to "real" appliances, 2) the system utilizes hand gesture to realize intuitive interaction, 3) the virtual space of the display utilizes 3D drag-and-drop metaphor. As for the core component of the proposed system, the paper reports implementation of a hand motion tracking system with multiple views and a controllable camera. Experimental results show that the tracking system solves a problem of the system scale explosion to achieve the accuracy and stability in real-time tracking.

关键词： home-use computer human interaction virtual space display virtual object handling computer vision gesture recognition human hand tracking color extraction Kalman filter

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Anticipation as a key for collaboration in a team of agents: A case study in robotic soccer

Anticipation as a key for collaboration in a team of agents:...

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sensor fusion and decentralized control in robotic systems II Conference

作者： Veloso, M Stone, P Bowling, M Carnegie Mellon Univ Dept Comp Sci Pittsburgh PA 15213 USA

ISBN: (纸本)0819434329

We investigate teams of complete autonomous agents that can collaborate towards achieving precise objectives in an adversarial dynamic environment. We have pursued this work in the context of robotic soccer both in simulation and with real physical robots. We briefly present these two frameworks emphasizing their different technical challenges. Creating effective members of a team is a challenging research problem. We first address this issue by introducing a team architecture organization which allows for a rich task decomposition between team members. The main contribution of this paper is our introduction of an action-selection algorithm that allows for a teammate to anticipate the needs of other teammates. Anticipation is critical for maximizing the probability of successful collaboration in teams of agents. We show how our contribution applies to the two concrete robotic soccer frameworks and present controlled empirical results run in simulation. Anticipation was successfully used by both our CMUnited-98 simulator and CMUnited-98 small-robot teams in the RoboCup98 competition. The two teams are RoboCup-98 world champions each in its own league.

关键词： Robots robotics Computer simulations Algorithm development Indium nitride Motion estimation robotic systems sensors Ions Process control

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Reinforcement learning of periodical gaits in locomotion robots

Reinforcement learning of periodical gaits in locomotion rob...

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sensor fusion and decentralized control in robotic systems II Conference

作者： Svinin, M Yamada, K Ushio, S Ueda, K Kobe Univ Dept Engn Mech Nada Ku Kobe Hyogo 6578501 Japan

ISBN: (纸本)0819434329

Emergence of stable gaits in locomotion robots is studied in this paper. A classifier system, implementing an instance-based reinforcement learning scheme, is used for sensory-motor control of an eight-legged mobile robot. Important feature of the classifier system is its ability to work with the continuous sensor space. The robot does not have a priori knowledge of the environment, its own internal model, and the goal coordinates. It is only assumed that the robot can acquire stable gaits by learning how to reach a light source. During the learning process the control system is self-organized by reinforcement signals. Reaching the light source defines a global reward. Forward motion gets a local reward, while stepping back and falling down get a local punishment. Feasibility of the proposed self-organized system is tested under simulation and experiment. The control actions are specified at the leg level. It is shown that, as learning progresses, the number of the action rules in the classifier systems is stabilized to a certain level, corresponding to the acquired gait patterns.

关键词： Robots Gait analysis sensors control systems Light sources Space sensors Optical sensors Neural networks Oscillators Signal processing

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Dynamic multi-sensor fusion for mobile robot navigation in an indoor environment

Dynamic multi-sensor fusion for mobile robot navigation in a...

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sensor fusion and decentralized control in robotic systems IV Conference

作者： Jin, TS Lee, JM Luk, BL Tso, SK Pusan Natl Univ Dept Elect Engn Pusan South Korea

ISBN: (纸本)0819442992

In this study, as the preliminary step for developing a multi-purpose Autonomous robust carrier mobile robot to transport trolleys or heavy goods and serve as robotic nursing assistant in hospital wards. The aim of this paper is to present the use of multi-sensor data fusion such as sonar, CCD camera and IR sensor for map-building mobile robot to navigate, and presents an experimental mobile robot designed to operate autonomously within both indoor and outdoor environments. Smart sensory systems are crucial for successful autonomous systems. We will give an explanation for the robot system architecture designed and implemented in this study and a short review of existing techniques, since there exist several recent thorough books and review paper on this paper. Instead we will focus on the main results with relevance to the intelligent service robot project at the Centre of Intelligent Design, Automation & Manufacturing (CIDAM). We will conclude by discussing some possible future extensions of the project. It is first dealt with the general principle of the navigation and guidance architecture, then the detailed functions recognizing environments updated, obstacle detection and motion assessment, with the first results from the simulations run.

关键词： sensor fusion mobile robot motion planning mobile robot navigation map-building

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