Munir Jojo-Verge's repositories
Self-Driving-Vehicle-Control-Using-Carla
In this project I implement a controller for the CARLA simulator. The goal was to control the vehicle to follow a race track by navigating through preset waypoints (x,y,speed). The vehicle needs to reach these waypoints at certain desired speeds, so both longitudinal and lateral control was required.
Data-Structures-and-Algorithms-Specialization
Coursera Specialisation Offered By UNIVERSITY OF CALIFORNIA SAN DIEGO NATIONAL RESEARCH UNIVERSITY HIGHER SCHOOL OF ECONOMICS
rl_AD_urban_baselines
Reinforcement Learning Baselines (OpenAI) applied to Autonomous Driving
Robotic_Localization_Challenge
In this challenge, you will write a feature-based localization engine to estimate the position of a mobile robot on a computer simulated 2D soccer field. This challenge is inspired by the international RoboCup competition, where teams of autonomous robots play against each other in the game of soccer. We will evaluate your solution based on accuracy, code quality, and how clearly you describe your technique.
Algorithms-and-Data-Structures
6 Courses from the University of California, San Diego National Research University Higher School of Economics
Camera-and-LIDAR-Calibration-and-Visualization-in-ROS
Camera-and-LIDAR-Calibration-and-Visualization-in-ROS
Deep-Reinforcement-Learning-P2-Continuous-Control
Deep Reinforcement Learning Nano-degree - Udacity: Continuous Control: Reacher
Deep-Reinforcement-Learning-P3-Multi-agent-Collaboration-and-Competition
Deep Reinforcement Learning P3 Multi-agent Collaboration and Competition
pdf_summarize_chatGPT
This Python project is designed to summarize PDF documents using OpenAI's GPT-3 AI model.
RoboND_AMCL_ROS
Adaptive Monte Carlo Localization (AMCL) in ROS
RoboND_Go_Chase_It
Udacity Nanodegree: Robotics Software Engineer. Project 02: Go Chase It!
RoboND_RTAB_MAP_ROS
RTAB-Map (Real-Time Appearance-Based Mapping) is a popular solution for SLAM to develop robots that can map environments in 3D. RTAB-Map has good speed and memory management, and it provides custom developed tools for information analysis. Most importantly, the quality of the documentation on ROS Wiki (http://wiki.ros.org/rtabmap_ros) is very high. Being able to leverage RTAB-Map with your own robots will lead to a solid foundation for mapping and localization.
v-jepa
PyTorch code and models for V-JEPA self-supervised learning from video.