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, mobility and cost. This project aims at developing a dehydration monitoring system that fuses multiple modalities of measurement in order to enhance the quality of measurement, and improves usability by
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of multi-robotic agents (UGVs, NVIDIA JetRacer and JetBot). We would primarily start with sensors equipped in JetRacer: IMU sensor, depth camera, and 2D LiDAR. Then, we will explore multimodal sensory
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environment. Develop robot localization approach leveraging data from multiple sensors including but not limited to camera and lidars. Develop efficient approach for multi-robot trajectory planning and tracking
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Solution Centre SAS-C. Key Responsibilities: Research and develop AI-assisted methodologies and tools for anomaly and stress pattern detection in aquaculture systems. Focus on multi-modal sensor data
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-to-day operation, maintenance, and calibration of on-going field measurements of carbon, water and energy exchange between vegetation canopies and the atmosphere and the environmental sensors
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agricultural robotics and new sustainable farming practices. The PhD projects will be combining new sensor systems and perception algorithms. So, if you are one of the 2 selected applicants, your primary
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interconnected computing nodes, actuators and sensors, communicating over networks, to achieve complex functionalities, at both slow and fast timeframes, and at different safety criticalities. Future connectivity
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at the intersection of quantum information science and fundamental materials physics. The research program focuses on understanding the fundamental limits of spin-based quantum sensors as probes of magnetic and
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acquired at multiple resolutions (tissue-level, single-cell/nucleus, and spatial transcriptomic data), requiring complex integrative analyses. The successful candidate will lead the analysis of a large
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Lawrence Berkeley National Laboratory has multiple openings for a Scientific Engineering Associate in Berkeley, CA. Duties: Perform scientific data analysis using the scientific python stack