Delta Parallel Robot Prototyping System

3-DOF delta robot with ESP32 control, vision and conveyor — assembled, documented and ready to program.

A complete delta parallel robot development platform: pre-assembled arm, ESP32 controller with GCode firmware, YOLOv8 vision, pneumatic pick-up and dual conveyors. Ships with 100+ pages of documentation.

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What you get

  • Delta robot arm (150mm/281mm, pre-assembled)
  • ESP32 controller (firmware pre-flashed)
  • 3x stepper motors (42BYGH47, 4.5:1 gearbox)
  • Pneumatic system (pump + valve)
  • USB camera (640×480) + LED ring light
  • 2× Conveyor belt modules (independent)
  • Pre-trained YOLOv8 detection model
  • Complete documentation + video tutorials
  • Premium support (3 months)
  • Advanced calibration tools
  • Spare parts kit (fuses, connectors)
  • All necessary cables & accessories

Technical specifications

Mechanical
TypeDelta parallel robot (3-DOF)
Working Envelope~Ø200mm × 180mm (Z-axis, approximate)
Precision±0.1mm (typical)
Max Speed100mm/s
Payload200g (maximum)
Arm LengthsUpper: 150mm / Lower: 281mm
End Effector Offset50mm
Frame MaterialAluminum extrusion (2020)
Electronics
ControllerESP32-D0WDQ6 (240MHz dual-core)
Motors3× NEMA17 (1.8°, 200 steps/rev)
Microstepping16 microsteps (configurable)
Gear Ratio4.5:1 (optimized for precision)
DriversA4988 or DRV8825 compatible
CommunicationUSB Serial (115200 baud)
Power Supply12V DC, 3A (36W)
Limit Switches3-axis endstop support
Software
Vision SystemYOLOv8 (pre-trained model included)
PC SoftwarePython 3.10 + PySide6 + OpenCV
FirmwareArduino C++ (ESP32 core)
ProtocolStandard GCode (G0/G1/G28/M-codes)
KinematicsReal-time inverse kinematics solver
InterpolationCosine acceleration profile
PlatformWindows 10/11 (Linux compatible)
Command Queue10-command buffer (configurable)
Included Accessories
Pneumatic System12V vacuum pump + PWM solenoid valve
Conveyor BeltVariable speed (200-1000Hz)
CameraUSB camera (640×480, 30fps)
End EffectorSuction cup (Ø20mm)
WiringPre-crimped JST connectors
Documentation100+ pages (PDF + online wiki)
ExamplesPick & place, sorting, calibration
SupportEmail support (service@nenpower.com)

Documentation

Quick Start

Quick Start Guide Understand Delta Robot and complete your first run in 30 minutes What is Delta Robot Delta Robot is a…

Hardware Assembly Guide

Hardware Assembly Guide Estimated Time: 2-3 hours | Difficulty: Intermediate Kit Checklist Category Component Quantity …

Software Installation

Software Installation Guide Estimated Time: 1 hour | Difficulty: Easy PC Software Installation 1. Python Environment Se…

Calibration Process

System Calibration Process Estimated Time: 1-2 hours | Importance: ★★★★★ ⚠️ Why Calibration? Calibration ensures robot'…

Programming Tutorial

Programming Tutorial Estimated Time: 2 hours | Difficulty: Intermediate 1. GCode Basics What is GCode? GCode is a stand…

Example Projects

Example Projects 4 Complete Runnable Projects Project 1: Simple Pick and Place Difficulty: Simple Time: 30 min For: Beg…

Troubleshooting Guide

Troubleshooting Guide Diagnosis and Solutions for Common Issues 1. Hardware Issues Q: Motors not moving after power-on?…

API Reference

API Reference Manual Complete Command and API Documentation 1. GCode Commands 1.1 Motion Commands Command Parameters De…

FAQ

Can I use this with my own hardware?

The full source code (software, firmware, CAD files) is provided after purchasing the hardware kit. Email your order confirmation to service@nenpower.com and we will send you access. You will need to calibrate mechanical parameters if using custom hardware.

What's the actual precision I can expect?

Typical precision is ±0.1mm with proper calibration, thanks to 16-microstep drivers and 4.5:1 gear ratio. Repeatability is excellent (~0.05mm). Absolute accuracy depends on calibration quality and mechanical tolerances.

Do I need robotics experience?

Basic programming knowledge helps, but not required. Our documentation includes step-by-step tutorials from beginner to advanced. If you can install Python and follow instructions, you can get this running.

Can I train my own object detection model?

Yes! We provide labelImg tool for data annotation and complete instructions for YOLOv8 training. The Complete Solution kit includes one custom model training service from our team.

What OS is supported?

Primary support is Windows 10/11 (tested). Linux compatibility is good (Ubuntu 20.04+). macOS should work but is untested. All Python dependencies are cross-platform.

How fast can it pick objects?

Complete pick-and-place cycle: 3-5 seconds depending on distance. Max speed is 100mm/s but actual throughput depends on object spacing, conveyor speed, and vision processing time (~100ms for YOLOv8).

Can I modify the mechanical design?

Yes! CAD files (STEP format) are provided with your purchase. Common modifications: arm length changes, custom end effectors, or adding a 4th axis (rail). The kinematics solver parameters are configurable in firmware.

What's the warranty and return policy?

Hardware comes with a 12-month limited warranty covering manufacturing defects. You may return an item within 7 days of delivery; return shipping is paid by the buyer and the item must be unused and in its original packaging — see the Returns section below for the full terms. We also offer lifetime software support by email.

Warranty

12-month limited warranty covering manufacturing defects. Consumables (suction cups, belts) and damage from modification are excluded.

Returns

Returns. You may return an item within 7 days of delivery for a refund.

  • The item must be unused, complete, and in its original packaging.
  • Return shipping is paid by the buyer. Original outbound shipping is non-refundable.
  • Contact service@nenpower.com before shipping anything back; returns sent without prior notice cannot be processed.
  • Refunds are issued to the original payment method within 5 business days of the returned item arriving and passing inspection.
  • Items damaged in transit or dead on arrival are covered by warranty, not by this policy — we cover the shipping in those cases.