Muhammmad kazim's repositories
Drone-Deep-Reinforcement-Learning-
This is the code repository of drone deep reinforcement learning
phd-bibliography
References on Optimal Control, Reinforcement Learning and Motion Planning
aircraft_3d_animation
A Matlab tool to visualize recorded or simulated flight data
autonomous_landing_data_analysis
Data analysis of the results obtained from a simulation of an autonomous landing system of a UAV using ROS and Gazebo.
d2go
D2Go is a toolkit for efficient deep learning
DeepRobustDroneRacing
In this repository, we modularize the whole navigation drone system, and utilize imitation learning to train the perception module.
docker-demo-api-app
demo-app-setup
electric_jet
Supersonic VTOL electric jet
faster
3D Trajectory Planner in Unknown Environments
Hands-On-Vision-and-Behavior-for-Self-Driving-Cars
Hands-On Vision and Behavior for Self-Driving Cars, published by Packt
HoverGames_Challenge2
These are the codes developed in the frame of NXP HoverGames Challenge 2: Help Drones, Help Others During Pandemics competition
kaggle-lyft-motion-prediction-4th-place-solution
Kaggle Lyft Motion Prediction for Autonomous Vehicles 4th place solution
mavros_apriltag_tracking
This package implements methods to enable a PX4-powered multi-rotor to track a moving vehicle.
mbzirc_2020_wall_building
Mission control, Visual detection, Estimation, Mapping and Planning for the wall building challenge of the MBZIRC 2020 competition.
MECH6091
Flight Control Systems Project
micropython
MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems
mpc_ros
Nonlinear Model Predictive Control on Differential Wheeled Mobile Robot using ROS
OpenAI-Gym-Drone-Delivery-Environment
A n OpenAI Gym environment for simulating drone deliveries with reinforcement learning and A* examples
PythonLinearNonlinearControl
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
PyTrafficSim
PyTrafficSim is a light traffic simulator for research related purposes. PTS is the most easy way to test your self-driving algorithm within a complicated intersection scenario.
pyxll-jupyter
Jupyter notebook integration for Microsoft Excel
quad96
Quadcopter control and pole balancing using deep reinforcement learning and hand gestures on ultra96
ra-lpv
Robust adaptive control of LPV systems
riseq_uav
Autonomous navigation algorithms developed by SKKU RISE Laboratory Quadrotor Team
roll-center-calculator
This submission contains a set of the .mlapp file and the .m function files to calculate the roll-center height. The model is built for the student teams participating in the automotive competitions.
tello-adv-aruco
DroneBlocks Python, OpenCV, and ArUco markers course with Tello from Pat Ryan
tello-ai-features
Tello AI features. Face recognition and tracking, collision avoidance, reinforcement learning and more.
Tensorflow-2-Reinforcement-Learning-Cookbook
Tensorflow 2 Reinforcement Learning Cookbook, published by Packt
Udacity_Projects_Master_Repo
Contains my solutions for various Nanodegree Programs (Robotics, Artificial Intelligence, Machine Learning, Deep Reinforcement Learning, Computer Vision, Sensor Fusion, Flying Cars).