🤖 I use OpenBot Project for my final BSc project. (thanks to all OpenBot project contributors)
⚡️ OpenBot leverages smartphones as brains for low-cost robots. This project has a small electric vehicle that costs about $50 and serves as a robot body. software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.
This repository contains code implementing imitation learning, with a focus on replicating aspects of the NVIDIA paper on end-to-end learning for self-driving cars. The main idea behind this codebase is to explore imitation learning techniques and apply them within the context of autonomous vehicle control.
The NVIDIA paper provides a comprehensive approach to training deep neural networks to directly predict vehicle control commands from raw input data, such as camera images. By replicating some aspects of this paper's implementation, we aim to understand and experiment with the effectiveness of end-to-end learning in various imitation learning scenarios.
Feel free to explore the code and experiment with different models and datasets to gain insights into imitation learning and its applications in autonomous driving.
