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RDK S600 Developer Kit📖
1.RDK S600 board introduction
  • 1.1 RDK S600 board introduction
  • 1.2 System Flashing
  • 1.3 Hardware Interface Description
  • 1.4 Accessory Installation
  • 1.5 Camera Expansion Board
  • 1.6 MCU Interface Expansion Board
  • 1.7 Precautions for Using the 15.6-inch Screen
  • 1.8 System Boot Modes
2.RDK S600 basic course
  • 2.1 Network Configuration
  • 2.2 Remote Login
  • 2.3 System Update
  • 2.4 Boot Auto-Start Configuration
  • 2.5 RDK Exclusive Command Usage
  • 2.6 Linux Command Usage
  • 2.7 Examples of GPIO Read and Write Operations
  • 2.8 Using the USB Camera
  • 2.9 Solid-state mounting
  • 2.10 SSD expansionnew
3.TogetheROS.Bot Vision Applications
  • 1. About TogetheROS. Bot
  • 2. System Installation
  • 3. Object Detection(YOLO)
  • 4. Image Classification(mobilenetv2)
  • 5. Image Segmentation(mobilenet_unet)
  • 6. Perception Algorithm(BEV)
  • 7. Human Detection and Tracking (Ultralytics YOLO Pose)
4. Offline AI Large Model Development
Offline large model (Text Interaction)
  • 1. AI large model environment deployment
  • 2. Install large model dialogue platform
  • 3. Meta AI Llama 3.2 model
  • 4. Alibaba Cloud Qwen3 model
  • 5. Microsoft Phi-4 mini model
  • 6. DeepSeek - DeepSeek-R1 model
  • 7. Alibaba Cloud Qwen2.5vl Visual Multimodal Large Model
  • 8. Google Gemma3 Visual Multimodal Large Model
  • 9. Lava Visual Multimodal Large Model
  • 10. MiniCPM-V Visual Multimodal Large Model
  • 11. Multimodal visual understand application
  • 12. Multimodal text image application
  • 13. Multimodal visual localization application
  • 14. Multimodal table scanning application
  • 15. Multimodal Autonomous Agent Applications
Offline large model (Voice Interaction)
  • 0. Voice Interaction Hardware Connection (Must Read)
  • 1. Offline speech-to-text (ASR)
  • 2. Offline Text-to-Speech (TTS)
  • 3. AI large model voice interaction
  • 4. Multimodal visual understanding voice interaction
  • 5. Multimodal Text-to-Image application
  • 6. Multimodal video analytics application
  • 7. Multimodal visual localization application
  • 8. Multimodal table scanning application
  • 9. Multimodal autonomous agent application
  • 10. AI Large Model Offline Voice Assistant
5. Online AI Large Model Development
Online large model (Text Interaction)
  • 1.OpenRouter large model API aggregation platform
  • 2.Multimodal visual understand application
  • 3.Multimodal visual localization application
  • 4.Multimodal table scanning application
  • 5.Multimodal autonomous proxy application
Online large model (Voice Interaction)
  • 0.Voice interaction hardware connection (ReadMe)
  • 1.Online speech to text (ASR)
  • 2.Online text to speech (TTS)
  • 3.AI large model voice interaction
  • 4.Multimodal visual understand speech interaction
  • 5.Multimodal visual localization application
  • 6.Multimodal table scanning application
  • 7.Multimodal autonomous proxy application
  • 8.AI large model online voice assistant
6.YOLO26 tutorials
  • 01.YOLO26 environment
  • 02.CLI use
  • 03.Object detection
  • 04.Instance segmentation
  • 05.Pose estimation
  • 06.Image classification
  • 07.Oriented object detection
  • 08.Model conversion
  • 09.Dataset annotation
  • 10.Model training - conversion
  • 11.Model prediction
7.OpenClaw Advanced Development
  • 1. OpenClaw Deployment
  • 2. OpenClaw and WhatsApp Plugin Application
  • 3. OpenClaw TUI Interaction
  • 4. OpenClaw WebChat Interaction
  • 5. OpenClaw Gate Gateway Operation Manual
  • 6. OpenClaw Plugin Function Introduction
  • 7. OpenClaw Tools Introduction
  • 8. OpenClaw ClawHub Introduction (skill Installation)
  • 9.OpenClaw Application - File Management
  • 10.OpenClaw Application - Browser Control
  • 11.OpenClaw Application - Camera
  • 12.OpenClaw Application - Script Execution
  • 13.OpenClaw Application - AI Programming (Peripheral & GPIO Control)
  • 14. OpenClaw Application - Dedicated AI Assistant
  • 15. OpenClaw Configure Web Search Capability
8.ROS2 basic course
  • 1.Introduction to ROS2
  • 2.ROS2 install Jazzy
  • 3.ROS2 development environment
  • 4.ROS2 workspace
  • 5.ROS2 function package
  • 6.ROS2 node
  • 7.ROS2 topic communication
  • 8.ROS2 service communication
  • 9.ROS2 action communication
  • 10.ROS2 custom interface message
  • 11.ROS2 parameter service case
  • 12.ROS2 meta-function package
  • 13.ROS2 distributed communication
  • 14.ROS2 DDS
  • 15.ROS2 time related API
  • 16.ROS2 common command tools
  • 17.ROS2 rviz2 use
  • 18.ROS2 rqt toolbox
  • 19.ROS2 Launch startup file configuration
  • 20.ROS2 recording and playback tool
  • 21.ROS2 URDF model
  • 22.ROS2 Gazebo simulation platform
  • 23.ROS2 TF2 coordinate transformation
Download
  • System_File
  • Code
  • 3D_Model_File
  • Tools_Software
Download ZIP

Welcome to RDK S600 Developer Kit repository

1. About TogetheROS. Bot

TogetheROS.Bot

TogetheROS.Bot is a robot operating system launched by D-Robotics for robot manufacturers and developers. It aims to unleash the intelligent potential of robot scenarios, enabling developers and commercial customers to develop robots efficiently and conveniently, and create competitive intelligent robot products.

TogetheROS.Bot supports running on the RDK platform. The RDK platform covers all the functions shown in the diagram below, improving user algorithm development and verification efficiency, and enabling quick migration to the RDK platform.

TROS-Diagram

The code of TogetheROS.Bot is hosted on GitHub under the D-Robotics organization link: D-Robotics.

Communication

Communication is D-Robotics's optimized and extended communication component on ROS2 Foxy/Humble version.

Main Features include:

The blue sections indicate the modules optimized and added by D-Robotics, and the main features of TogetheROS.Bot are as follows:

  • Provide "hobot_sensor" to adapt to commonly used robot sensors, saving development time and focusing on core competitiveness.
  • Provide "hobot_dnn" to simplify on-board algorithm model inference and deployment, unlocking BPU computing power and lowering the threshold for intelligent algorithm usage.
  • Provide "hobot_codec" to accelerate video encoding and decoding through a combination of software and hardware, saving CPU resources and improving parallel processing capability.
  • Provide "hobot_cv" to enhance the performance of common computer vision operators through a combination of software and hardware, saving CPU resources and improving runtime efficiency.
  • Provide "hobot Render" for web-based and HDMI dynamic visualization, real-time rendering of algorithm results (limited to web-based), facilitating display and debugging.
  • Add "zero-copy" inter-process zero-copy communication mechanism to reduce data transmission latency and system resource consumption.
  • Enhance middleware software debugging and performance tuning tools, improve problem localization efficiency, and facilitate system performance optimization.
  • Fully compatible with ROS2 Foxy/Humble version, facilitating the reuse of ROS2 toolkits and speeding up prototype verification.
  • Support minimal and modular pruning, facilitating deployment in resource-constrained embedded products as needed.

Boxs

Boxs is an intelligent algorithm package launched by D-Robotics for robot manufacturers and developers based on TogetheROS.Bot. It aims to improve the efficiency of integrating and implementing robot intelligent algorithms based on the D-Robotics robot operating system.

  • Image detection algorithms such as FCOS, YOLO, FasterRCNN, Efficientdet, Mobilenet_ssd;
  • Image classification models such as Mobilenet
  • Semantic segmentation models such as Unet
  • Application algorithm models such as human detection and tracking, gesture recognition, human hand keypoint detection, monocular height network, monocular 3D detection, speech processing,VIO,etc.

Apps

Apps are algorithm application examples developed based on the D-Robotics robot operating system's Communication and Boxs. They aim to establish a complete chain of image input, perception, strategy, etc., demonstrate application effects, and accelerate the development efficiency of customer demos.

Common Term Definitions

TermDefinition
zero-copyInter-process zero-copy communication method
hobot dnnEncapsulation of BPU-based model inference functionality
SLAMSimultaneous Localization and Mapping
DOADirection of Arrival
ASRAutomatic Speech Recognition
TogetheROS.BotTogether Robot Operating System for robot
tros.bTogetheROS.Bot abbreviation
SSD expansion
System Installation

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