Name: Muhammmad kazim
Type: User
Company: Khalifa University
Bio: Postdoctoral Researcher at Khalifa University, Abu Dhabi, UAE.
My research area is Autonomous vehicles (UAVs and UGVs), Control theory, CV, DL, and DRL.
Location: Abu Dhabi, UAE
Blog: dr-kazim.com
Muhammmad kazim's Projects
This is my webpage
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ROS node to control a swarm of nano quadrotors, Crazyflies 2.X, with obstacle avoidance
Student-facing codebase to be run on Intel Aero Compute Board and control the Intel Ready To Fly Drone
Repository for Aerostack, a software framework for autonomous multi-robot unmanned aerial systems
Aerostack2 is a ROS2 framework developed to create autonomous multi-aerial-robots systems in an easy and powerful way.
TF-Agents is a library for Reinforcement Learning in TensorFlow
Bringing Characters to Life with Computer Brains in Unity
A Matlab tool to visualize recorded or simulated flight data
AirSim with openAI gym and keras-rl integration for autonomous copter RL
Public repository for Air Learning project
Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research
Code associated with our paper "Learning Controls Using Cross-Modal Representations: Bridging Simulation and Reality for Drone Racing": https://arxiv.org/abs/1909.06993
Drone Racing @ NeurIPS 2019, built on Microsoft AirSim
This is the code for my published paper: Improved Reinforcement Learning through Imitation Learning Pretraining Towards Image-based Autonomous Driving
🚀 AirVO upgrades to AirSLAM 🚀
Alexa Voice Controlled Tello Drone
Using computer vision to detect the safe flyable region of racing gates for the AI Drone Racing Challenge.
An Intuitive Tutorial to Gaussian Processes Regression
Easy and ready to use animation models for Matlab and python
An open autonomous driving platform
SImulation of a quadcopter with a dof arm using vrep and python
Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)
Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ
An automatic code generator for nonlinear model predictive control (NMPC) and the continuation/GMRES method (C/GMRES) based numerical solvers for NMPC
Azure AutoML for Images. AutoML for Images is part of Azure ML. AutoML for images is available in public preview.
This repository intends to enable autonomous drone delivery with the Intel Aero RTF drone and PX4 autopilot. The code can be executed both on the real drone or simulated on a PC using Gazebo. Its core is a robot operating system (ROS) node, which communicates with the PX4 autopilot through mavros. It uses SVO 2.0 for visual odometry, WhyCon for visual marker localization and Ewok for trajectoy planning with collision avoidance.