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Project A.E.R.I.S

An advanced automated drone platform designed for autonomous navigation, environmental mapping, and real-time telemetry processing.

What I Did

I was responsible for the core flight control configuration of Project A.E.R.I.S, utilizing the **ESP32** microcontroller as the "brain" of the operation. This involved deploying and configuring flight control firmware specifically optimized for the ESP32 architecture.

A significant portion of my work focused on **fine-tuning PID (Proportional-Integral-Derivative) settings**. This iterative process was crucial for achieving stabilized flight performance, ensuring the drone could maintain poise and react accurately to environmental variables and navigation commands.

To make the system data-visible, I developed and hosted a **custom Webserver directly on the ESP32**. This allows for the real-time broadcasting of telemetry information, providing a live dashboard for monitoring sensor data, flight status, and navigation logs without needing external hardware.

Project Overview

Project A.E.R.I.S (Advanced Environmental Robotics Intelligence System) is a flagship initiative aimed at building a robust, cost-effective autonomous drone. By leveraging the power of modern microcontrollers and custom firmware, the project demonstrates how affordable hardware can be utilized for complex tasks like autonomous mapping.

Key Features

  • Custom ESP32-based Flight Controller configuration
  • High-precision PID stabilization for flight control
  • Integrated ESP32 Webserver for real-time telemetry
  • Autonomous navigation and obstacle avoidance logic
  • Live environmental data visualization
  • Modular hardware architecture for research scaling

Technologies Used

ESP32 C++ / Arduino PID Control WebSockets HTML/CSS Sensors (IMU/LiDAR)