Skip to content

Author

Onah Bartholomew Chukwuebuka

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Review Open access 2026

Deep Transfer Learning-Based Obstacle Detection and Avoidance for an Autonomous Mobile Robot: A MATLAB and Simulink Implementation

This work presents the deployment of a deep transfer learning (DTL) obstacle-detection algorithm on a four-wheel holonomic autonomous mobile robot using the Simulink and MATLAB environment. The base algorithm was constructed by fusing a convolutional neural network (CNN) with the Alex.Net transfer-learning model, and w...

Onah Bartholomew Chukwuebuka · 0 citations
Open access 2026

Deep Transfer Learning with Convolutional Neural Networks for Object Detection and Recognition in Autonomous Mobile Robots

This work studies the modelling of a four-wheel holonomic autonomous mobile robot and applies a deep transfer learning (DTL) algorithm based on a fine-tuned AlexNet CNN for obstacle detection and recognition and outperforming several state-of-the-art comparators.

Onah Bartholomew Chukwuebuka · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.