Projects

2024

Autonomous Driving Book [Github]

This is a book that I’m writing to help beginners to master the art of autonomous driving. The book covers a wide range of topics from the basics of autonomous driving to the most advanced techniques used in the industry. The book comes with a lot of code examples and exercises to help you learn the concepts better.

2023

XBot

In this project, I’m exploring the opportunities to fine tune and embed a small-sized multimodal models into a microcontroller to enable multimodal sensing and control of a robotic car. The goal is to build a multimodal robot that can see, hear, and speak.

Transformers for Time Series Forecasting [Github]

Here I used the transformer architecture to forecast time series data. The transformer architecture is a powerful deep learning architecture that has been used in many NLP tasks. I am interested in exploring its potential in time series forecasting.

LLM for Autonoumous Control [Github]

In this project, I explored the use of large language models to control various autonoumous systems in a simulation environment, such as OpenGym. The main idea is to automatically generate control codes from natural language descriptions.

2022