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

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

collaborators

16 papers

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…

eess.SY2025

Safe Output-Feedback Adaptive Optimal Control of Affine Nonlinear Systems

Tochukwu E. Ogri, Muzaffar Qureshi, Zachary I. Bell +2

In this paper, we develop a safe control synthesis method that integrates state estimation and parameter estimation within an adaptive optimal control (AOC) and control barrier fun…

eess.SY2025

Improved Dwell-times for Switched Nonlinear Systems using Memory Regression Extension

Muzaffar Qureshi, Tochukwu Elijah Ogri, Humberto Ramos +3

This paper presents a switched systems approach for extending the dwell-time of an autonomous agent during GPS-denied operation by leveraging memory regressor extension (MRE) techn…

eess.SY2025

A Taylor Series Approach to Correction of Input Errors in Gaussian Process Regression

Muzaffar Qureshi, Tochukwu Elijah Ogri, Zachary I. Bell +2

Gaussian Processes (GPs) are widely recognized as powerful non-parametric models for regression and classification. Traditional GP frameworks predominantly operate under the assump…

eess.SY2025

A Switched Systems Approach to Image-Based Feature Tracking for Autonomous Satellite Inspection

Tochukwu Elijah Ogri, Muzaffar Qureshi, Zachary I. Bell +3

This paper presents an information-based guidance and control architecture for an autonomous deputy spacecraft tasked with inspecting a chief satellite in orbit. The primary object…

eess.SY2025

Gaussian Process-Based Scalar Field Estimation in GPS-Denied Environments

Muzaffar Qureshi, Tochukwu Elijah Ogri, Humberto Ramos +2

This paper presents a methodology for an autonomous agent to map an unknown scalar field in GPS-denied regions. To reduce localization errors, the agent alternates between GPS-enab…

eess.SY2024★ 1 cited

Scalar Field Mapping with Adaptive High-Intensity Region Avoidance

Muzaffar Qureshi, Tochukwu Elijah Ogri, Zachary I. Bell +1

This research is motivated by a scenario where a group of UAVs is assigned to map an unknown scalar field, with the imperative of maintaining a safe distance from the sources of th…

eess.SY2024

Safe Output-Feedback Adaptive Optimal Control of Input-Constrained Control-Affine Nonlinear Systems

Tochukwu Elijah Ogri, Muzaffar Qureshi, Zachary I. Bell +1

In this paper, a novel online, safe output-feedback, critic-only, adaptive optimal control framework is developed for safety-critical control of partially observable systems. The d…

eess.SY2024★ 1 cited

An adaptive optimal control approach to monocular depth observability maximization

Tochukwu Elijah Ogri, Muzaffar Qureshi, Zachary I. Bell +2

This paper presents an integral concurrent learning (ICL)-based observer for a monocular camera to accurately estimate the Euclidean distance to features on a stationary object, un…

eess.SY2022

Output Feedback Adaptive Optimal Control of Affine Nonlinear systems with a Linear Measurement Model

Tochukwu Elijah Ogri, S. M. Nahid Mahmud, Zachary I. Bell +1

Real-world control applications in complex and uncertain environments require adaptability to handle model uncertainties and robustness against disturbances. This paper presents an…