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- W2156948698 abstract "TECHNIQUES FOR SENSOR-INTEGRATED ROBOTIC SYSTEMS: RAMAN SPECTRA ANALYSIS, IMAGE GUIDANCE, AND KINEMATIC CALIBRATION by LUKE ANTHONY REISNER December 2012 Advisor: Dr. Abhilash Pandya Major: Computer Engineering Degree: Doctor of Philosophy Robotics and sensor technology have made impressive advancements over the years. There are now robotic systems that help perform surgeries or explore the surface of Mars, and there are sensors that detect trace amounts of explosives or identify diseased human tissue. The most powerful systems integrate robots and sensors, which are natural complements to each other. Sensors can provide information that might otherwise be unavailable due to indirect robotic manipulation (e.g., images of the target environment), and robots can provide suitably precise positioning of an analytical sensor. To have an effective sensor-integrated robotic system, multiple capabilities are needed in the areas of sensors, robotics, and techniques for robot/sensor integration. However, for many types of applications, there are shortcomings in the current technologies employed to provide these capabilities. For the analysis of complex sensor signals, there is a need for improved algorithms and open platforms that enable techniques to be shared. For the path planning and tracking of integrated sensors and the visualization of collected information, image guidance systems that support advanced analytical sensors would be very beneficial. For robotic placement of a sensor," @default.
- W2156948698 created "2016-06-24" @default.
- W2156948698 creator A5082490055 @default.
- W2156948698 date "2012-01-01" @default.
- W2156948698 modified "2023-09-27" @default.
- W2156948698 title "Techniques For Sensor-Integrated Robotic Systems: Raman Spectra Analysis, Image Guidance, And Kinematic Calibration" @default.
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