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Hiwonder ROSOrin ROS2 Smart Car, Multimodal Large AI Model ChatGPT / Gemini / Grok / Llama, SLAM Navigation Programming, Mecanum Wheels Robot
Hiwonder

Hiwonder ROSOrin ROS2 Smart Car, Multimodal Large AI Model ChatGPT / Gemini / Grok / Llama, SLAM Navigation Programming, Mecanum Wheels Robot

R 14 819,00Ex Tax: R 12 886,09
On backorder — Ships in ~21 working days
Qty
1
  • Delivery nationwide via The Courier Guy — R150 flat, free over R2,000
  • Free collection from our Milnerton (Cape Town) warehouse
  • Secure checkout — PayFast card payment or EFT
  • Questions? WhatsApp us on +27 65 900 8570

Description

The Hiwonder ROSOrin is an advanced ROS2-based smart car designed for students, educators, and robotics developers looking to master embodied AI. Powered by high-performance hardware like NVIDIA Jetson or Raspberry Pi 5, this versatile platform supports multiple chassis configurations and integrates cutting-edge multimodal large language models. It serves as an ideal foundation for exploring SLAM navigation, 3D perception, and natural voice interaction.

Modular ROS2 development platform

Built on ROS2, the ROSOrin features a modular chassis design that allows quick switching between Mecanum, Ackermann, and differential drives. This high-performance hardware setup supports advanced motion control, mapping, and path planning across diverse scenarios.

Modular ROS2 development platform

OpenClaw agent framework integration

Deep integration with the OpenClaw framework enables the robot to process multimodal inputs and perceive complex environments. This allows it to make real-time decisions and autonomously execute intricate workflows.

OpenClaw agent framework integration

Multimodal large AI models

By combining advanced AI for text, voice, and vision, the platform supports natural conversations and smart visual understanding. It integrates models like ChatGPT, Gemini, Grok, and Llama for hybrid online or local deployment.

Multimodal large AI models

Built-in AI vision algorithms

The robot utilises YOLO26, MediaPipe, and OpenCV to handle object detection, face recognition, and gesture control. These pre-configured algorithms allow you to start experimenting with AI vision without complex setup.

Built-in AI vision algorithms

High-precision 3D depth camera

The onboard 3D depth camera enables advanced depth image data processing and 3D visual mapping navigation. It also supports AI-driven visual tracking and interactive applications.

High-precision 3D depth camera

TOF LiDAR navigation and SLAM

Equipped with an STL-19P D500 TOF LiDAR, the robot performs precise SLAM mapping and autonomous navigation. It supports advanced path planning, fixed-point navigation, and dynamic obstacle avoidance.

TOF LiDAR navigation and SLAM

Far-field microphone array

An integrated 6-channel far-field microphone array and speaker system enable sound source positioning and voice recognition control. This hardware supports natural voice interaction and voice-guided navigation.

Far-field microphone array

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