ESP32-Controlled AI Robot Arm Development

via Freelancer ·

Budget / Salary$1,500–3,000
TypeFreelance project
LocationRemote
Posted1 hour ago
ESP32 Robot Arm + Camera with AI Integration

Project Type: Fixed Price
Development Budget: $1,500–$2,500 USD
Target Timeline: 3–6 weeks after receiving hardware

Project Overview

I am looking for an experienced ESP32/robotics developer to build a plug-and-play control system connecting:

Pre-assembled Hiwonder XArm 1S robotic arm
Seeed Studio ESP32-S3 Sense camera
Windows 10/11 PC
AI/LLM running on the PC

The basic architecture is:

User Instruction → AI/LLM → Windows PC Server/API → Robot Arm + Camera

The AI should be able to receive natural-language instructions, request camera snapshots, analyze images, issue commands to the robot, and receive status/feedback.

The intended workflow is:

Observe → Decide → Act → Verify → Repeat

The goal is to create a reliable, configurable, and expandable foundation rather than a collection of hard-coded movements.

1. Robot + Camera Firmware

Develop/configure the firmware necessary for the robot and ESP32-S3 camera to communicate with the Windows PC over Wi-Fi.

After initial setup, normal operation should be approximately:

Power On → Connect to Wi-Fi → Discover Server → Register → Ready

No manual IP configuration should normally be required. The system should automatically reconnect after temporary network interruption.

2. Windows Control Application

Create a Windows application/server that:

Automatically discovers the robot and camera
Communicates with them over local Wi-Fi
Provides a documented API
Provides device status/error information
Provides a user-friendly Calibration/Settings interface
Saves calibration/settings after restart
Can be moved to another Windows PC without rebuilding the entire system
3. Robot Control

The API should expose as much useful control and feedback from the robot as the hardware reasonably supports, including:

Robot discovery/identification
Home
XYZ movement where supported
Individual joint/servo control
Gripper control
Adjustable movement speed
Stop/cancel
Movement status
Servo position/feedback
Available servo telemetry

The AI should interact with simple high-level API functions rather than directly managing low-level servo/ESP32 communication.

4. ESP32-S3 Camera

The ESP32-S3 Sense should provide on-demand JPEG snapshots that the AI can request and analyze when needed.

Continuous video streaming is not required.

5. Basic AI/LLM Integration

Basic AI/LLM integration is required.

The LLM should be able to receive an instruction such as:

“Move to the home position, take a picture, then open the gripper.”

It should interpret the instruction and use the available robot/camera API functions to perform the requested actions.

The AI should also be capable of receiving camera snapshots and using them as part of its decision process.

A custom AI model does not need to be trained. The purpose is to provide a working AI-connected foundation that can support more advanced vision and autonomous behavior in future development.

6. PC Calibration & Settings

The Windows application should provide a user-accessible Calibration/Settings interface.

Normal calibration and tuning should not require modifying source code or reflashing firmware whenever reasonably possible.

Individual servos/joints should be configurable where supported, including:

Position and offsets
Minimum/maximum safe travel
Neutral/reference positions
Movement speed
Calibration / Slow / Normal / Fast modes
Gripper settings
Available current/load thresholds
Safety limits
Saved positions/presets
Saved calibration profiles

More detailed per-servo calibration requirements will be provided in the technical specification.

7. Servo Feedback / Contact Detection

Where supported by the hardware, useful servo telemetry should be exposed to the Windows application/API, including available position, current/load, temperature, voltage, movement status, and stall/overload information.

Where current/load feedback is available, allow adjustable thresholds for basic contact/resistance detection and safety limiting.

Servo current/load is understood to be a proxy for physical resistance rather than a precise force measurement.

I am open to adding a dedicated force/load sensor if the developer recommends one.

8. Plug-and-Play Expansion

The architecture should support additional identical robot arms and cameras later.

Each device should have a unique identity.

The intended process should be approximately:

Flash Same Firmware → Power On → Automatically Discovered → Ready

Adding another identical device should not require rewriting the server or manually assigning IP addresses.

Each physical robot may have its own saved calibration/settings profile.

9. Physical Hardware Development

I want the selected developer to have the actual hardware during development so the complete system can be physically integrated, tested, debugged, and calibrated.

USA-Based Developer: I can provide funds for the agreed hardware to be purchased and delivered directly to you.

International Developer: I can purchase and arrange shipment of the agreed hardware to you.

The developer will use the hardware for physical development, integration, calibration, debugging, and final testing.

After the project is completed and fully tested, the completed hardware setup must be securely packaged and shipped back to me. Return shipping will be paid separately by me.

10. Hardware Recommendations

The listed hardware is the planned starting configuration, not an absolute restriction.

If you identify a better, more compatible, reliable, or capable hardware option, you are encouraged to recommend it.

This may include a different camera, controller, sensor, force/load sensor, PC component, mounting solution, communication component, or other relevant hardware.

I am open to changes that significantly improve reliability, control, sensing, calibration, AI integration, safety, or future expansion.

Any hardware replacement or additional purchase must be discussed with and approved by me before purchase or implementation.

11. Deliverables

The completed project should include:

Robot firmware — source + compiled firmware
ESP32-S3 camera firmware — source + compiled firmware
Windows application/server — source + executable
Basic working AI/LLM integration
Documented API
Automatic device discovery/reconnection
Robot and gripper control
On-demand camera snapshots
PC Calibration/Settings interface
Individual servo/joint calibration where supported
Servo telemetry where supported
Adjustable safety/load thresholds where supported
Saved calibration/settings profiles
Multi-device expansion architecture
Installation/flashing/calibration instructions
Complete buildable source/project files
Remote final testing session
Video demonstration using the physical hardware
Completed/tested hardware shipped back to me
12. Source Code & Future Development

Complete source code and buildable project files for all custom-developed components must be delivered.

Any third-party/open-source components used should be identified along with their applicable licenses.

I need to be able to operate, reinstall, calibrate, maintain, modify, and expand the system without being permanently dependent on the original developer.

I would prefer to continue working with the same developer for future paid upgrades and more advanced AI/vision development if the initial project is successful.

13. Detailed Technical Specification

A detailed technical specification covering calibration parameters, individual servo controls, normalized servo ranges, API behavior, telemetry, safety limits, gripper calibration, movement modes, device communication, and final testing requirements will be provided to the selected developer before development begins.

The detailed specification expands on the requirements listed in this project post; it does not change the overall project scope.

Please Include With Your Bid

Please briefly explain:

Your ESP32/robotics experience
Similar robotic arm/servo projects
AI/LLM/API integration experience
How you would approach automatic device discovery
How you would approach the PC calibration interface
What servo telemetry you expect can be obtained from the XArm 1S
Whether you recommend a force sensor or other hardware changes
Whether you are comfortable physically receiving/testing the equipment
Confirmation that source code and documentation will be provided
Estimated completion time
Your fixed-price development bid
Budget Clarification

The $1,500–$2,500 fixed-price budget is for ALL development work required to complete the project, including programming, firmware development, Windows/server software, API development, basic AI/LLM integration, calibration/settings development, hardware integration, configuration, physical testing, debugging, documentation, and final system setup.

Physical hardware, additional components, and shipping costs are NOT included in the fixed-price development bid and will be paid separately by me.

Please submit your fixed-price bid for the complete development work described above.

Generic bids that do not address the ESP32, robotics, calibration, networking, and AI/LLM requirements may not be considered.
python microcontroller c++ programming robotics artificial intelligence embedded systems api integration large language models (llms) llm integration microcontroller programming (stm32 / esp32)
Apply on Freelancer →

Project sourced from Freelancer.com. Applications happen directly on the original platform — we never collect your data.