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automatic interpretation of measurement data. A cornerstone of our systems is the automated, AI-driven interpretation of 3D point cloud data, which requires high-quality training datasets and, ideally, model
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for downstream applications such as mapping, simulation, analyses and other related uses. This PhD investigates methods to transform raw 3D data into structured scene representations that integrate
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novel algorithms for efficient, high-fidelity 3D scene reconstruction and representation, including applications in embodied environments where an agent must continuously perceive, update, and reason
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candidate will develop practical learning-based systems for generative 3D/4D scene modelling, world models, and embodied intelligence. Key Responsibilities: Develop and implement machine-learning methods
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analysis in the construction domain/synthetic data creation and transformation. The group develops AI methods for 3D model creation, plan and scene analysis in the construction sector by analyzing as-built
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scene, and leveraging that understanding for localization and navigation. A robot builds a picture of its surroundings one lidar scan at a time. Each scan on its own says very little; together
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centralized intelligence for mission-critical situational awareness in dynamic environments. You will build and maintain real-time semantic 3D scene representations across heterogeneous sensors and robots
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grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: Conduct research on 3D/4D scene
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on advanced perception and scene understanding for robotic harvesting. The successful candidate will contribute to the development of novel methods for: simultaneous 3D scene reconstruction and plant modelling
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2025, and Texas has no state income tax. In 2026, U.S. News and World report named El Paso the best big city to live in the nation. The region's rich culture includes a vibrant street art and mural scene