Search Results for "platform-tools"

ArduPilot is an open-source autopilot platform for autonomous and remotely operated vehicles. It supports airplanes, multicopters, helicopters, rovers, boats, submarines, balance bots, and other specialized vehicle types. Separate vehicle stacks include ArduPlane, ArduCopter, Rover, ArduSub, and Antenna Tracker. The software provides manual-assisted modes as well as fully autonomous missions with waypoint navigation and scripted behavior.

...It emphasizes readable, centralized code instead of a large framework spread across many files and classes. The project is designed to teach aircraft stabilization and flight-control concepts while remaining easy to modify. Its primary hardware platform uses a Teensy 4.0 microcontroller and an MPU6050 six-axis IMU. Features include receiver input handling, IMU calibration, ESC calibration, motor arming, and customizable control logic. Because the code is easy to edit in the Arduino ecosystem, experimental aircraft behaviors can be added quickly. The project is intended mainly for education and rapid prototyping rather than commercial flight-control deployment.

ESP-Drone is an open-source quadcopter platform built around Espressif ESP32, ESP32-S2, and ESP32-S3 microcontrollers. It combines lightweight hardware with firmware derived in part from the Crazyflie project. Pilots can control the drone through a mobile application or compatible gamepad over wireless connections. Stabilize mode provides basic assisted flight, while additional hardware enables height-hold and position-hold modes.

...Its interface is modeled after Metasploit to provide a familiar module-oriented workflow for security researchers. The framework gathers drone-specific assessment techniques and security modules in one console. Individual modules activate only when their required external tools and dependencies are available. Its architecture is built on the SploitKit framework and can be extended with additional modules. The project has been presented as a drone penetration-testing research platform at security conferences. Because its capabilities can affect real devices and networks, it is appropriate only for systems covered by explicit testing authorization.

Gym-PyBullet-Drones is an open-source Gym-compatible environment for training and evaluating reinforcement learning agents on drone control and swarm robotics tasks. It leverages the PyBullet physics engine to simulate quadrotors and provides a platform for studying control, navigation, and coordination of single and multiple drones in 3D space.