Controlling an E58 drone with an ESP8266 uC
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Updated
Nov 25, 2020 - C++
Controlling an E58 drone with an ESP8266 uC
Infinite horizon policy optimization for drone navigation. Graded project for the ETH course "Dynamic Programming and Optimal Control".
NSER-IBVS: Numerically Stable Efficient Reduced Image-Based Visual Servoing with knowledge distillation for autonomous drone control and navigation in GPS-denied environments. ICCV 2025
Neural control framework for drones using motor imagery EEG classification. Achieves 73% cross-subject accuracy with PyTorch and enables hands-free drone control through imagined hand/feet movements.
Base framework for Parrot Drone projects.
Drone Flight Automation Project
rigidRL is a compiled C++ autograd library backed by Eigen. It provides a graph-based differentiation engine with seamless Python bindings, designed specifically for accelerating physics-based optimization tasks like 6-DOF drone control and nonlinear dynamics.
A non-linear control system designed to counteract random, volatile disturbances (such as wind) more effectively than the standard PID controller. Also includes a Monte Carlo simulation to compare the controller's effectiveness with a standard PID controller.
Run drone simulators, firmware, and experiment scripts from a unified interface (currently Sphinx, more planned)
Control lewei-based drones with Node.js.
Learn to control a DJI Tello Drone using Python and djitellopy. Includes basic scripts for connection, flight, camera streaming, and movements. Perfect for beginners.
Drone Haberlesme Sistemleri Sunumu PDF / Drone Communication Systems Presentation PDF
A flight script to fly drone in octahedron pattern with spatiotemporal precision
Official Project Page: "Efficient Self-Supervised Neuro-Analytic Visual Servoing for Real-time Quadrotor Control"
Practical example of the Victoria-Nash Asymmetric Equilibrium (VNAE) applied to multi-agent drone control. Paper: "Riemmanian Manifolds of Asymmetric Equilibria: The Victoria-Nash Geometry".
An entry level object-tracking system for DJI Tello using Computer Vision (OpenCV) and Fuzzy Logic control. Perfect for enthusiasts learning drone automation.
The drone is controlled with keyboard. The motivation of this project is easing the control process of drone for novice users
A cross-platform mobile application (Android/iOS) built with .NET MAUI and C# for real-time control, telemetry monitoring, and flight command execution for DJI Tello drones.
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