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Getting Started ​

The iNexBot controller offers multiple secondary development approaches. This guide helps you choose the right method based on your goals, tech stack, and use case.


Quick Decision Table ​

Your GoalRecommended MethodLanguage/ProtocolPlatformSkill LevelEntry
Build PC control softwareHost Computer DevC++, C#, PythonWindows / LinuxBeginnerC++ · C# · Python
Remote control via TCPJSON ProtocolAny language (JSON over TCP)Cross-platformIntermediateRTL-22.07 · RTL-24.03
Customize controller behaviorController Secondary DevC++LinuxAdvancedController Guide
Customize teach pendant UITeach Pendant Secondary DevC++ / QtLinuxIntermediateTeach Pendant Guide
Integrate with ROS ecosystemROSC++, PythonLinuxIntermediateROS Integration Guide
Build EtherCAT real-time masterMaster Station DevC / C++Linux (RT)AdvancedMaster Station

Development Methods ​

1. Host Computer Development ​

Control robots directly via API on a PC, bypassing the teach pendant. Suitable for automation integration, data acquisition, and remote monitoring.

Supported Languages & Platforms:

LanguagePlatformToolchain
C++WindowsMSVC / MinGW
C++LinuxGCC
C#Windows.NET
PythonWindows / LinuxPython 3.x

Getting Started: Choose language → Download SDK → Initialize project → Connect to controller → Run examples

Suitable for: Developers needing flexible robot control, automation integration, or system integration.


2. JSON Protocol Communication ​

Communicate with the controller via standard JSON messages. Suitable for cross-language, cross-platform remote control and data exchange.

Protocol Features:

  • TCP-based, ports 5000 (file transfer), 6000/6001 (JSON command), 7000 (service functions)
  • Language-agnostic — any language with TCP Socket support works

RTL-22.07 and RTL-24.03 are both stable versions using the same port system. Port 6000 is typically for teach pendants, 6001 for host computers. RTL-24.03 is the current mainstream version.

Prerequisites: TCP Socket programming, JSON data format

Suitable for: Developers integrating or remotely controlling robots via standardized protocols.


3. Controller Secondary Development ​

Develop low-level algorithms on the controller's Linux environment, replacing or extending core controller functionality.

Use Cases: Proprietary process development, special robot model support, interpolation algorithm replacement.

Prerequisites: C++ (OOP, data structures), Linux system programming, robot control theory (kinematics, dynamics, interpolation)

Suitable for: Controller hardware and algorithm developers needing custom interpolation algorithms or proprietary processes.


4. Teach Pendant Secondary Development ​

Customize the teach pendant user interface and interaction, working alongside controller secondary development.

Use Cases: Custom UI/UE for brand-specific operation experience.

Prerequisites: C++ programming, Qt framework (signals/slots, QML, UI design), basic Linux

Suitable for: UI/UX developers creating custom robot operation interfaces.


5. ROS Development ​

Integrate the iNexBot controller into a ROS network for real-time monitoring and control.

ROS uses native ROS communication (topics/services), not JSON or HTTP.

Prerequisites: ROS basics (nodes, topics, services, actions), C++ or Python, ROS toolchain (MoveIt, RViz)

Suitable for: Research users and ROS developers integrating iNexBot controllers into existing ROS systems.


6. Master Station Development ​

Use the controller as an industrial PC running a real-time EtherCAT master station.

Use Cases: Real-time control systems and industrial network protocol development.

Prerequisites: C/C++ programming, EtherCAT protocol, real-time OS (RTOS / Xenomai)

Suitable for: Industrial automation and embedded developers needing custom real-time control systems.


User Role Recommendations ​

RoleTypical NeedsRecommended Method
Robot OEMQuickly customize control systems, build own brandController + Teach Pendant secondary dev
System IntegratorDevelop proprietary processes, protect industry knowledgeHost Computer dev + JSON Protocol
Research UserHigh-precision motion control algorithm researchController secondary dev + ROS
Education UserTrain students to design and build robotsHost Computer (Python) + ROS

Getting Started Tips ​

  • Read docs first: Each method provides detailed documentation and examples — review before starting
  • Stay flexible: Keep your development path open in early stages for rapid iteration
  • Community support: ROS and JSON Protocol have extensive community support via forums and tutorials

If you have questions, check the FAQ, Version Compatibility, or email sales@inexbot.com.

🤖 AI assistants / automation: start with the Agent Development Guide and Pre-generation Checklist (Chinese); machine-readable entry: /llms.txt; plain-text version: swap .html for .md in the URL