ESP32 Drone Cpp Code Development

@tshibsamuel477

Hi there, I carefully reviewed your requirements and can develop the ESP32-based drone firmware in C++ with MPU6050 sensor processing, Wi-Fi communication, and FlySky iBUS receiver integration. I have experience with ESP32, C/C++, real-time embedded systems, IMU sensor fusion, PWM/motor control, Wi-Fi communication, and non-blocking control architectures. I can implement the core flight-control loop, MPU6050 calibration/filtering, attitude estimation, iBUS command decoding, motor mixing, failsafe handling, and a clean Wi-Fi telemetry/control interface. The code will be structured and documented for maintainability, with clear configuration for PID gains, sensor calibration, channel mapping, motor outputs, and communication parameters. Given the hardware is already defined, I can move quickly from bring-up to a stable testable firmware build. Just send me a message with the exact ESP32 board, ESC/motor configuration, and FlySky receiver details, and I can get started. Best regards, Samuel tshibangu

@alluankit01

Hi, I can develop the ESP32 C++ firmware for your drone with MPU6050 sensor processing, FlySky iBUS receiver input, Wi-Fi communication, and basic flight-control structure. For this budget, I recommend starting with an initial firmware milestone: sensor reading, iBUS channel parsing, Wi-Fi command/status flow, PID structure, and motor output logic ready for bench testing. I can help with: * ESP32 C++ firmware * MPU6050 IMU reading * Gyro/accelerometer filtering * FlySky iBUS receiver parsing * Wi-Fi communication setup * PID control structure * Motor/ESC output logic * Arming and safety checks * Serial debug output * Code comments and setup notes Deliverables: * Arduino/ESP32 C++ source code * MPU6050 integration * iBUS input handling * Wi-Fi communication module * Basic flight-control loop * PID parameter placeholders * Safety/arming logic * Upload and testing instructions I’ll focus on clean, maintainable code that can be bench-tested first and tuned later on the real drone hardware. Best regards Ankit

@Webslinger01

Getting an ESP32 drone to fly stable with an MPU6050 is genuinely tricky — the sensor fusion and PID tuning are where most projects stall. I've written C++ firmware for ESP32-based motion systems before, including a basketball dribble tracker that classified real-time motion from an IMU, so I understand the constraints of working with sensor data on this chip. Here's what I bring to this: → I'll write clean, documented C++ handling MPU6050 fusion (Mahony/Complementary), PID flight control, and iBUS parsing for your FlySky transmitter → I've shipped ESP32 firmware with real-time sensor processing and wireless communication in production hardware → Full stack capability — I can also advise on PCB layout or power issues if your custom drone build hits hardware problems → I can deliver a working, commented codebase within 3 days, tested against your specific frame and motor setup For this scope, the cost would be $4500. Happy to walk you through my approach and past work on a chat.

@soniaer987

Hi, I have done similar work before for the smart surfboard where I added the MPU sensor to detect the orientation of device based on x, y and Z axis value and send data to the attached ESP32. I will implement same principle to the drone system, I will use ESP_IDF for Cpp coding and also include the OTA update on the project. I have the ESP32, MPU6050 sensor with me so I will test the code at my end to ensure the code is tested before delivery. Thanks Kiran

@hexabitzprojects

Hi, I’m very interested in this project because I have **15+ years of R&D experience in embedded systems, robotics, motor control and sensor-based automation**, with hands-on experience using ESP32 and IMU sensors. I can develop the ESP32 C++ firmware for your drone, including **MPU6050 initialization, accelerometer/gyroscope calibration, sensor fusion, attitude estimation, PID-based flight control and real-time motor output generation**. I can also integrate the **FlySky transmitter with the iBUS receiver** for reliable command input and map throttle, roll, pitch and yaw channels into the flight controller. I have worked on **ESP32 motion-control projects, IMU-based systems and motor-control applications**, giving me relevant experience with real-time sensor processing and control loops. Wi-Fi communication can also be implemented for telemetry, configuration, debugging and monitoring without interfering with the flight-control loop. I will keep the firmware modular and well documented, with separate layers for **MPU6050, iBUS, flight control/PID, motor control, Wi-Fi and diagnostics**, making future tuning and expansion easier. I can provide the complete source code, configuration instructions and testing/tuning support for your prototype. Best regards, **Subhash Suman** ESP32 | C/C++ | Robotics | IMU | Motor Control | IoT **15+ Years R&D Experience**

@igoichsanp

I can develop clean, modular C++ firmware for your ESP32-based drone, integrating MPU6050 sensor fusion, PID flight control loops, FlySky IBUS parsing, and Wi-Fi telemetry within 3 days. Here is the technical execution plan: 1. MPU6050 Sensor Processing & Attitude Estimation: • High-frequency I2C data acquisition paired with a Complementary/Mahony filter for smooth, low-latency pitch, roll, and yaw calculation. 2. PID Flight Control & Motor Mixing: • Real-time, deterministic control loop executing PID stabilization for stable hover and responsive maneuvers. • Precise PWM output mapping for motor ESC control. 3. FlySky IBUS & Wi-Fi Telemetry Dual-Control: • Non-blocking Hardware UART parser to decode FlySky IBUS receiver channel inputs with minimal latency. • Parallel UDP/WebSocket Wi-Fi interface for real-time telemetry streaming and over-the-air PID parameter adjustments. 4. Deliverables: • Fully commented, buildable C++ source code (Arduino-ESP32 or ESP-IDF). • Comprehensive README guide detailing GPIO pinouts, IBUS configuration, and a step-by-step PID tuning procedure. I have extensive hands-on experience in UAV flight dynamics, custom flight controller firmware, and embedded C++ programming.

@nikunjm33

I CAN WORK BEST FOR YOU IF YOU GIVE THIS PROJECT TO ME I WILL BEST WORK AND EVERYTHING you need the satisfaction

@mohamedDreamly

Hello, I can develop an ESP32 drone-control firmware prototype integrating the MPU6050, FlySky iBUS receiver, motor-control logic, and Wi-Fi communication. I have practical experience in ESP32 and embedded C/C++ development, sensor integration, communication protocols, real-time data processing, and IoT systems. My previous work includes an ESP32 AWS IoT/OTA system and monitoring firmware with sensor acquisition and control logic. The firmware can include: • MPU6050 acquisition, calibration, and filtering • FlySky iBUS decoding and channel mapping • PID stabilization and motor mixing • ESC control, arming, and basic failsafe • Wi-Fi telemetry or parameter configuration • Clean and documented C++ code I will perform step-by-step debugging to verify MPU6050 and iBUS communication with the ESP32, inspect raw sensor readings and receiver channels, detect communication errors, and confirm the processed data through serial logs before integrating the control stages. This bid covers an initial prototype based on the posted budget. The final scope will be confirmed after reviewing the hardware, wiring, ESC protocol, frame type, and Wi-Fi requirements. Please share your component list and wiring diagram. I am ready to start. Best regards, Mohammed Al-Dreamly

@Digitalizers010

Hi, ESP32 firmware that flies the quad off MPU6050 and takes commands over wifi and iBus. Gyro drift is what usually sinks these. How we would do it: complementary filter over the MPU6050 on I2C, a fixed rate control task on core 1 with cascaded PID from angle to rate to motor mix, iBus on a UART, wifi telemetry on core 0 so a dropped packet can't stall the loop. Which ESC and frame are you on? We have written sensor and motor loops on ESP32 before, same PID shape. Happy to take the flight loop first. Regards, Digitalizers

@harinir65

With my experience I would be able to deliver the best project on time. I have over 13years of experience in Flight control algorithms.

@mirhamz

Having a deep understanding of both Matlab and the intricacies of electrical engineering, I believe I'm the ideal fit to take on your ESP32 drone CPP code development project. My background includes an accumulation of knowledge and experience in not just drone flight control, but also in handling sensor data processing - skills that are particularly handy given the specifics of your project. With expertise in MPUT6050, Wi-Fi communication protocols, as well as C++ programming, my skills align closely with your unique requirements. My previous work involving simulations of quadrotor control and moving-platform landing models speaks deeply to my proficiency in robotic systems. Not to mention my familiarity with some relevant libraries like CATIA and SolidWorks. My collaborative approach is geared towards ensuring I can provide you with maintainable, well-documented codes that align perfectly with your needs. In summary, I'm an Aerospace Engineer who doesn't shy away from a good challenge within the domain of engineering -this ESP32 drone CPP code development being one example. With a solid grasp of key requirements like flight control algorithms, sensor data processing/simulation and Wi-Fi protocols and profound experience in your exact Ftgyuedsxed technology stack, I know I will produce great results for you. Looking forward to working with you!

@krishna6342kapoo

Hello, I can develop the C++ firmware for your ESP32-based drone using the MPU6050 sensor, FlySky transmitter and iBUS receiver. The development will include MPU6050 sensor interfacing and calibration, orientation-data processing, iBUS command decoding, PID-based flight stabilization, motor/ESC control, Wi-Fi communication, arming/disarming logic and essential failsafe functions. I will provide organized and documented source code with configuration instructions and remote debugging support. I would first review your existing hardware connections, drone specifications and any available code to ensure compatibility. I can complete the defined development scope within 14 days. Please share your circuit diagram, ESP32 model, drone frame configuration, motor and ESC specifications, receiver model, existing code and the exact purpose of the Wi-Fi connection. I look forward to working with you on this project.

@MirazeX

MirazeX brings over six years of specialized engineering experience in the design, development, and maturation of Unmanned Aerial Vehicles (UAVs) across multiple classes, with proven delivery of swarm systems and EW-compliant UAV platforms to real-world clients. This work spans the full lifecycle — from airframe integration and flight controller tuning to communication resilience under contested electromagnetic conditions — reflecting deep expertise in building systems that perform reliably in demanding operational environments. Complementing this UAV expertise is extensive hands-on work with telemetry systems, including LoRa-based and WiFi-based telemetry modules engineered for long-range, low-latency data links, as well as integration and configuration of Microhard mesh radios for resilient, self-healing communication networks in multi-node and swarm deployments. MirazeX's technical range extends into IoT-based devices and embedded systems, encompassing sensor integration, microcontroller-level firmware development, and real-time embedded architectures tailored for constrained, mission-critical hardware. This includes proficiency in scripting with Lua for onboard automation, flight controller customization, and lightweight logic execution within embedded platforms. Together, this breadth of experience reflects a strong command of real-time, hardware-integrated systems engineering, purpose-built for high-reliability, field-deployed applications.

@khalidhasan5

Hi, I'd like to take on your ESP32 drone flight control project. I have direct experience with ESP32 development in C++, sensor interfacing (GPIO/I²C peripherals), and control-systems work from my time with the UIU Aerial Robotics Team, including UAV/quadcopter development and control-system modeling in MATLAB/Simulink. My approach: Sensor processing: read and fuse MPU6050 accelerometer/gyro data (complementary or Kalman filter) to get stable, low-noise attitude estimates Flight control: implement a PID-based stabilization loop (roll/pitch/yaw) driving motor outputs, tuned for responsive but stable flight behavior Receiver input: integrate the FlySky transmitter via iBUS protocol to read channel data for manual control input Wi-Fi communication: set up ESP32 Wi-Fi for telemetry/data monitoring or remote configuration, structured so it doesn't interfere with real-time flight-control timing Code quality: well-commented, modular C++ structured around clear separation of sensor reading, control logic, and communication — so it's maintainable and easy for you to extend later I'm happy to discuss your current hardware setup (frame, motors/ESCs, power budget) and any existing code you already have, so I can scope the work accurately rather than starting from generic assumptions.