We study the target tracking problem using multiple, environment-embedded, stationary sensors and mobile robots. An architecture for robot motion coordination is presented which exploits a shared topological map of th...
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We study the target tracking problem using multiple, environment-embedded, stationary sensors and mobile robots. An architecture for robot motion coordination is presented which exploits a shared topological map of the environment. The stationary sensors and robots maintain region-based density estimates which are used to guide the robots to parts of the environment where unobserved targets may be present. Experiments in simulation show that the region-based approach works better than a naive target following approach when the number of targets in the environment is high.
This paper proposes a technique for planar trajectory following for an autonomous aerial robot. A trajectory is modeled as a planar spline. A behavior-based control system. which stabilizes the robot and enforces traj...
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This paper proposes a technique for planar trajectory following for an autonomous aerial robot. A trajectory is modeled as a planar spline. A behavior-based control system. which stabilizes the robot and enforces trajectory following, has been implemented and tested on an autonomous helicopter. Results from two flight, experiments are presented. The trajectory tracking error is on the order of the size of the robot (1.8 m). Given the inherent error in GPS positioning, and environmental disturbances (wind), this is quite reasonable.
We propose a method to detect and identify faults in wheeled mobile robots. The idea behind the method is to use adaptive estimation to predict the outcome of several faults, and to learn them collectively as a failur...
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We propose a method to detect and identify faults in wheeled mobile robots. The idea behind the method is to use adaptive estimation to predict the outcome of several faults, and to learn them collectively as a failure pattern. Models of the system behavior under each type of fault are embedded in multiple parallel Kalman filter (KF) estimators. Each KF is tuned to a particular fault and predicts, using its embedded model, the expected values for the sensor readings. The residual, the difference between the predicted readings (based on certain assumptions for the system model and the sensor models) and the actual sensor readings, is used as an indicator of how well each filter is performing. A backpropagation neural network processes this set of residuals as a pattern and decides which fault has occurred, that is, which filter is better tuned to the correct state of the mobile robot. The technique has been implemented on a physical robot and results from experiments are discussed.
We seek to build CIS researchsystems within a flexible, open architecture. In this paper, we outline our solutions to the problems of system design, construction, and integration in this environment: building distrib...
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Controllers for embedded dynamic systems require models with continuous behavior evolution and discrete configuration changes. These changes may cause fast continuous transients in state variables. Time scale and para...
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A system for face model adaptation combining active tracking is presented. Input from an active camera is used for MPEG4 model based coding. First, the background is compensated considering a moving camera (tilt or pa...
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A system for face model adaptation combining active tracking is presented. Input from an active camera is used for MPEG4 model based coding. First, the background is compensated considering a moving camera (tilt or pan). Second, the talking face is segmented from the compensated background using fusion of frame differences. A morphological filter is then applied to make the system less sensitive to noise. Third, Hough transform and deformable template coupled with color information are exploited to detect the facial features, e.g., eyes, mouth. Fourth, a wireframe model is adapted to the extracted face by an extended dynamic mesh. The feasibility of the proposed system is demonstrated using several real active video sequences.
Various alternative aircraft inspection methods are first discussed and advantages of using robots are analysed. ANDI (Automated NonDestructive Inspector) and CIMP (Crown Inspection Mobile Platform) are then described...
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Various alternative aircraft inspection methods are first discussed and advantages of using robots are analysed. ANDI (Automated NonDestructive Inspector) and CIMP (Crown Inspection Mobile Platform) are then described. Remote 3D stereoscopic visual inspection is outlined and algorithms developed for crack detection and surface and subsurface corrosion detection are described. Future development trends are also outlined.
In virtual reality applications, time delay is one of the essential factors which need compensation. We measured the end to end time delay of our system and developed a compensation technique using a head motion model...
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In virtual reality applications, time delay is one of the essential factors which need compensation. We measured the end to end time delay of our system and developed a compensation technique using a head motion model and a predictive Kalman filter. Compared to a previously developed predictive filter with a model free approach, our filter reduces the error, by 20 to 30%. Due to recent advances in PC technology, it was possible to implement the entire system (including the compensation) on a single PC. Our system consists of a PC, head mounted display, and a 6 degrees of freedom magnetic tracking sensor.
This article discusses the complexities of real-world planning and how to create planning systems to address them. IMACS, an automated designer's aid, evaluates machined parts and suggests design modifications to ...
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This article discusses the complexities of real-world planning and how to create planning systems to address them. IMACS, an automated designer's aid, evaluates machined parts and suggests design modifications to improve their manufacturability, offering advantages over planning techniques used in classical planning systems. IEEE intelligent systems.
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