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Muhammmad kazim's Projects

adaptive_swarm icon adaptive_swarm

ROS node to control a swarm of nano quadrotors, Crazyflies 2.X, with obstacle avoidance

aero_control icon aero_control

Student-facing codebase to be run on Intel Aero Compute Board and control the Intel Ready To Fly Drone

aerostack icon aerostack

Repository for Aerostack, a software framework for autonomous multi-robot unmanned aerial systems

aerostack2 icon aerostack2

Aerostack2 is a ROS2 framework developed to create autonomous multi-aerial-robots systems in an easy and powerful way.

agents icon agents

TF-Agents is a library for Reinforcement Learning in TensorFlow

ai4animation icon ai4animation

Bringing Characters to Life with Computer Brains in Unity

airgym icon airgym

AirSim with openAI gym and keras-rl integration for autonomous copter RL

airsim icon airsim

Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research

airsim-drone-racing-vae-imitation icon airsim-drone-racing-vae-imitation

Code associated with our paper "Learning Controls Using Cross-Modal Representations: Bridging Simulation and Reality for Drone Racing": https://arxiv.org/abs/1909.06993

alphapilot icon alphapilot

Using computer vision to detect the safe flyable region of racing gates for the AI Drone Racing Challenge.

apollo icon apollo

An open autonomous driving platform

async-rl icon async-rl

Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)

autogen icon autogen

Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ

autogenu-jupyter icon autogenu-jupyter

An automatic code generator for nonlinear model predictive control (NMPC) and the continuation/GMRES method (C/GMRES) based numerical solvers for NMPC

automlforimages icon automlforimages

Azure AutoML for Images. AutoML for Images is part of Azure ML. AutoML for images is available in public preview.

autonomous-drone icon autonomous-drone

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.

autonomous-drone-racing icon autonomous-drone-racing

This repository contains the code for the paper "Image Generation for Efficient Neural Network Training in Autonomous Drone Racing" of the WCCI 2020 congress.

autonomous-flight-ros icon autonomous-flight-ros

A simple autopilot for a quadrotor realized using MoveIt!. The system use a simulated RGBD sensor to reconstruct the map, then ompl for path generation.

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