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20222026
most citedScalar Field Mapping with Adaptive High-Intensity Region Avoidance

1 citations · 2 across the 13 of their papers we have counts for

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7 papers · 1 filter

cs.RO2026

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…

eess.SY2026

Compute-Constrained Safety Filters with Neuromorphic Event Triggering

Tochukwu E. Ogri, Opeyemi Owolabi, Luke Fina +2

Safety filters that rely on control barrier function (CBF) quadratic programs (QPs) are typically analyzed under the assumption that the QP is solved instantaneously, although nonz…

eess.SY2026

On sparsity and directional forgetting in adaptive control

Tochukwu E. Ogri, Trivikram Satharasi, Muzaffar Qureshi +2

This paper develops a sparsity-promoting memory regressor extension (MRE) adaptation law with directional forgetting for nonlinear control-affine systems with linearly parameterize…

cs.RO2026

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…

math.OC2026

Adaptive Control with Sparse Identification of Nonlinear Dynamics

Trivikram Satharasi, Tochukwu E. Ogri, Muzaffar Qureshi +2

This paper develops a sparsity-promoting integral concurrent learning (SP-ICL) adaptation law for a linearly parametrized uncertain nonlinear control-affine systems. The unknown pa…

cs.RO2026

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…

math.OC2026

Safe Adaptive Feedback Control via Barrier States

Trivikram Satharasi, Tochukwu E. Ogri, Muzaffar Qureshi +2

This paper presents a safe feedback control framework for nonlinear control-affine systems with parametric uncertainty by leveraging adaptive dynamic programming (ADP) with barrier…