1 citations · 2 across the 13 of their papers we have counts for
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Input Bias Correction in Gaussian Process Regression
Muzaffar Qureshi, Tochukwu E. Ogri, Trivikram Satharasi +2
In traditional Gaussian process (GP) regression, the inputs are typically assumed to be known, and uncertainty enters only through the measurements. When scalar fields are mapped u…
A Hough transform approach to safety-aware scalar field mapping using Gaussian Processes
Muzaffar Qureshi, Trivikram Satharasi, Tochukwu E. Ogri +2
This paper presents a framework for mapping unknown scalar fields using a sensor-equipped autonomous robot operating in unsafe environments. The unsafe regions are defined as regio…
A Taylor Series Approach to Correct Localization Errors in Robotic Field Mapping using Gaussian Processes
Muzaffar Qureshi, Tochukwu Elijah Ogri, Kyle Volle +1
Gaussian Processes (GPs) are powerful non-parametric Bayesian models for regression of scalar fields, formulated under the assumption that measurement locations are perfectly known…