7 papers
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…
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…
MedSR-Vision: Deep Learning Framework for Multi-Domain Medical Image Super-Resolution
Subhash Gurappa, Trivikram Satharasi, Yashas Hariprasad +1
Medical image super-resolution (MedSR) is essential for improving diagnostic precision across diverse imaging modalities such as MRI, CT, X-ray, Ultrasound, and Fundus imaging. Des…
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…
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…
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…
Future of AI Models: A Computational perspective on Model collapse
Trivikram Satharasi, S Sitharama Iyengar
Artificial Intelligence, especially Large Language Models (LLMs), has transformed domains such as software engineering, journalism, creative writing, academia, and media (Naveed et…