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Change: Leverage high-resolution tactile sensors to handle contacts Impact: Autonomous grasping and manipulation Job description Dexterous manipulation represents one of robotics' most fundamental unsolved
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closely with a small, dedicated team, you will: Design and implement SLAM-based navigation algorithms for GPS-denied forest environments (45%) Develop multi-sensor integration software for LiDAR, cameras
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Challenge: Control robotic dexterous hand during dynamic movements Change: Leverage high-resolution tactile sensors to handle contacts Impact: Autonomous grasping and manipulation Job description
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satellite sensors, customized to taxa and water quality typical of the U.S. West Coast. Apply data from ocean color and/or land imaging satellite missions as appropriate (e.g. PACE, Sentinel 3, MODIS
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, focusing on intelligent sensor tasking and the automated identification and characterization of space objects in Earth orbits and cislunar environment using optical data. Contribute to the development
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for SDA, focusing on intelligent sensor tasking and the automated identification and characterization of space objects in Earth orbits and cislunar environment using optical data. Contribute
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, integration, and analysis of large, diverse datasets obtained from Unmanned Aerial System (UAS), Satellite imagery, ground sensors, and field measurements. -The candidate will work on Texas Climate Smart
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close-to-field conditions, and (ii) a fully autonomous phenotyping robot, Phenomobile.v2+, equipped with a set of sensors (LiDAR, RGB, IR, and Spectrometer) that enable advanced plant measurements
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-criteria, defining their formalization as fuzzy subsets, and characterizing their uncertainty; Integrating Machine Learning algorithms to better account for low-level sensor data (precipitation, wind-driven
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sensor research and development for energy applications, with a focus on advanced manufacturing technologies. The MSA group consists of staff members with backgrounds in mechanical engineering, materials