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the gap between state-of-the-art generative grasp planners and real-world physical execution. The core objective is to develop a robust robotic skill layer — integrating 6D object pose estimation with
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psychometric research. Potential research areas include (a) instructional sensitivity and opportunity to learn in international large-scale assessments in education, (b) estimation and inference methods for
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include: Developing and analyzing representative dynamic simulation scenarios for electrical power systems Extending kernel-based Gaussian Process methods for the estimation of electrical and control
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University of California, San Diego | Estancia de San Diego, Guanajuato | Mexico | about 20 hours ago
-order predictions together with heterogeneous observational data. • Integrate data driven methods into a framework for uncertainty-aware ocean state estimation. • Apply and validate the framework using
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At AAU Energy, a position as Postdoc in sodium-ion battery state estimation is open for appointment from 1st of November 2026 or as soon as possible hereafter. The position is available for a period
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field robotics and tests its methods on robots in real environments. We are now looking for a postdoctoral researcher to work on localisation and mapping for robots in GPS-denied environments, where dust
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trigger additional reasoning or a more capable model. Possible directions include uncertainty estimation, confidence calibration, model routing, token selection, early exiting, adaptive visual
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results for proprioceptive sensing toward a validated technology and to extend the capabilities of today's state-of-the-art methods to extracting a richer set of material characteristics from piled
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and advancement of multi-fidelity finite element models of steel structures with emphasis on fatigue hot-spot modelling, building on existing in-house methods Load and stress estimation using virtual
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chemical and physical perturbations in a test house to investigate indoor processes https://doi.org/10.1039/D4EM00209A Methodology and uncertainty estimation for measurements of methane leakage in a