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kely117's Projects

flight-dynamics-and-control-uavs icon flight-dynamics-and-control-uavs

Understanding of flight control systems, including dynamic models for UAVs, low level autopilot design, trajectory following, and path planning. The essential physics and sensors of UAV problems, including low-level autopilot for stability and higher-level autopilot functions of path planning will be explored.

game-engine icon game-engine

Autonomy Protocol implented using ROS to path plan and control autonomous UAV for flight competition in ASE 479W at UT Austin

gazebo_models icon gazebo_models

Gazebo database of SDF models. This is a predecessor to https://app.gazebosim.org

iprm-matlab icon iprm-matlab

Source code of article "An Improved Probabilistic Roadmap Planning Method for Safe Indoor Flights of Unmanned Aerial Vehicles" (https://www.mdpi.com/2504-446X/7/2/92).

matlab_motion_planning icon matlab_motion_planning

Motion planning and Navigation of AGV/AMR:ROS planner plugin implementation of A*, Theta*, JPS, D*, LPA*, D* Lite, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi, PID, LQR, MPC, APF, DWA, Bezier, B-spline, Dubins, Reeds-Shepp etc.

motion_planning icon motion_planning

The project implements RRT* path finding and mini-snap algorithm to generate feasible trajectory for UAV.

multi-uav-planning icon multi-uav-planning

This is a matlab code used in the paper Multi-UAV Routing for Area Coverage and Remote Sensing with Minimum Time

p-rrtstar icon p-rrtstar

Artificial potential fields based directionalized sampling for RRT*

parrot-minidrone-compettion icon parrot-minidrone-compettion

This repository contains the MATLAB code for the mini drone competition, designed to showcase autonomous flight capabilities. The code implements various algorithms for flight control, computer vision, and path planning, enabling the drone to perform complex tasks and navigate challenging environments.

path-planning-for-multiple-uavs icon path-planning-for-multiple-uavs

Bachelor thesis project on autonomous path-planning for drones. Path planning is based on RRT family algorithms, and the motion/detection modules are connected with a CTU MRS system.

pathplanning icon pathplanning

Deep Reinforcement Learning based Adaptive Real-time Path Planning for UAV

pathplanningconopt icon pathplanningconopt

Path planning for UAVs in the presence of threat zones using convex optimization.

quad-sim-vehicle-capture icon quad-sim-vehicle-capture

Dynamics, control and path planning simulation for a quadrotor vehicle attempting to capture a target UAV in the air.

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