<feed xmlns="http://www.w3.org/2005/Atom"> <id>https://theroboticsclub.github.io/2026-internship-Hector_Martinez/</id><title>Héctor Martínez Cabezas</title><subtitle>A minimal, responsive and feature-rich Jekyll theme for technical writing.</subtitle> <updated>2026-10-07T14:04:50+02:00</updated> <author> <name>Héctor Martínez Cabezas</name> <uri>https://theroboticsclub.github.io/2026-internship-Hector_Martinez/</uri> </author><link rel="self" type="application/atom+xml" href="https://theroboticsclub.github.io/2026-internship-Hector_Martinez/feed.xml"/><link rel="alternate" type="text/html" hreflang="en" href="https://theroboticsclub.github.io/2026-internship-Hector_Martinez/"/> <generator uri="https://jekyllrb.com/" version="4.4.1">Jekyll</generator> <rights> © 2026 Héctor Martínez Cabezas </rights> <icon>/2026-internship-Hector_Martinez/assets/img/favicons/favicon.ico</icon> <logo>/2026-internship-Hector_Martinez/assets/img/favicons/favicon-96x96.png</logo> <entry><title>Testing the End-to-End Visual Control Model and Fine-Tuning MobileNetV1-SSD with ONNX Export</title><link href="https://theroboticsclub.github.io/2026-internship-Hector_Martinez/posts/post_1/" rel="alternate" type="text/html" title="Testing the End-to-End Visual Control Model and Fine-Tuning MobileNetV1-SSD with ONNX Export" /><published>2026-10-07T00:00:00+02:00</published> <updated>2026-10-07T11:56:10+02:00</updated> <id>https://theroboticsclub.github.io/2026-internship-Hector_Martinez/posts/post_1/</id> <content src="https://theroboticsclub.github.io/2026-internship-Hector_Martinez/posts/post_1/" /> <author> <name>Hector</name> </author> <summary> This week, I finished working on the End-to-End Visual Control exercise by testing the trained model. I also continued improving the fine-tuning of the pre-trained MobileNetV1-SSD model and created a script to export the newly trained model to ONNX for further testing. Testing End-to-End Visual Control After exporting the onnx model last week, I tested it in Unibotics by following the instruc... </summary> </entry> <entry><title>Training a CNN Model for End to End Visual Control and Fine-Tuning Visual Human Detection</title><link href="https://theroboticsclub.github.io/2026-internship-Hector_Martinez/posts/post_0/" rel="alternate" type="text/html" title="Training a CNN Model for End to End Visual Control and Fine-Tuning Visual Human Detection" /><published>2026-09-30T00:00:00+02:00</published> <updated>2026-09-30T00:00:00+02:00</updated> <id>https://theroboticsclub.github.io/2026-internship-Hector_Martinez/posts/post_0/</id> <content src="https://theroboticsclub.github.io/2026-internship-Hector_Martinez/posts/post_0/" /> <author> <name>Hector</name> </author> <summary> For my first two internship tasks, I had to work on two exercises in Unibotics: End to End Visual Control and Visual Object Detection. End to End Visual Control. Creating the CNN and training the model In this exercise, a car must complete a lap by following a red line. The exercise documentation requires using an AI model trained with a CNN (Convolutional Neural Network). Because of this, I... </summary> </entry> </feed>
