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JetMax2027 is a desktop AI robotic arm designed for education. Powered by a Jetson or Raspberry Pi 5 controller, an STM32 multi-function controller, and magnetic encoder bus servos, it features a 3D depth camera and the WonderEcho Pro AI voice box. By integrating advanced inverse kinematics and mainstream algorithm frameworks, it enables 3D environmental perception, dynamic target tracking, and intelligent grasping. Deployed with multimodal large AI models and the OpenClaw agent, JetMax bridges multi-dimensional perception with physical execution. Fully supporting Python programming and backed by comprehensive courses, it redefines embodied intelligence development.
Empowered by high-performance hardware and multi-dimensional sensors combined with multimodal large models, JetMax achieves next-level human-robot collaboration and intelligent task execution.
Integrating vision, voice, and text AI models, JetMax intelligently perceives surroundings, plans actions, and executes tasks. This unlocks advanced Embodied AI applications, including emotion perception, scene understanding, target tracking, and AI-driven navigation.
Equipped with an advanced 3D depth camera, JetMax generates real-time depth maps and point cloud data to precisely capture spatial depth information, enabling accurate distance measurement, edge detection, and versatile visual applications.
With a modular end-effector design, JetMax allows you to easily switch between the electric suction nozzle, metal gripper, and pen holder kit, effortlessly adapting to diverse operational tasks and AI applications.

JetMax features an industrial-grade CNC linkage mechanism with carbon fiber rods, drastically reducing structural backlash. Integrated with 24 precision bearings, it eliminates transmission gaps, ensuring high rigidity and repeatability for XYZ 3D spatial movements.
JetMax features a dual-brain architecture combining an ROS controller and an STM32 controller. Equipped with 12-bit magnetic encoder bus servos, a 3D depth camera, an AI voice box, and a 7-inch HD touchscreen, it provides robust hardware support for advanced secondary development.
A Professional Embodied AI Development Platform Engineered for ROS Developers



Integrated with multimodal AI models, JetMax supports both online API integration and offline local deployment, ensuring stable operation even without internet access. By fusing data from the 3D depth camera, and AI voice module, JetMax forms a complete perception-decision-action loop to drive advanced embodied AI applications.



JetMax accurately parses voice commands. Using its depth camera, it detects the color, shape, and spatial distance of targets, autonomously planning paths and grasping sequences for 3D intelligent sorting.
Powered by deep visual cognition, JetMax identifies environmental elements and object attributes, providing human-like voice feedback.
Leveraging large visual models for scene analysis, JetMax extracts environmental info, locks target coordinates, and uses the KCF algorithm for dynamic tracking.
Call the underlying YOLO vision interface via voice commands for real-time target detection and autonomous sorting.
By parsing natural language commands through LLMs, JetMax autonomously plans movement paths to complete creative tasks like drawing.
Combining environmental and object data, JetMax uses LLMs for multimodal reasoning to output actionable decisions.
Using large visual models to recognize text and formulas, JetMax completes logical reasoning and calculations, driving physical actions.
Issue commands in your words anytime via apps like Telegram, turning your daily communication tool into a dedicated robot console.
Following your commands, JetMax scans the environment in real time, extracts feature information, and generates status reports.
When encountering unexpected anomalies, JetMax thinks autonomously and quickly executes remedial strategies.
Provide a task goal, and JetMax automatically deduces and generates specific action steps to handle complex scenarios.
If the sorting area changes, JetMax triggers a self-healing mechanism to replan its route and try again.
The system records historical targets and scenes. For similar tasks, JetMax reuses past strategies for precise execution.






JetMax's modular hardware architecture supports suspended mobile chassis for transitioning from fixed to mobile grasping. It also seamlessly integrates with motorized sliding rails and electrical conveyor belts, enabling you to build AI automation simulation scenes for diverse intelligent projects.
























| Name | Parameters | Brand | Hiwonder |
|---|---|---|---|
| Product name | JetMax large AI model open-source robotic arm | Dimensions | 490 × 165 × 252 mm |
| Product weight | Starter Kit 1.90kg, Standard Kit 1.91kg, Advanced Kit 1.95kg, Ultimate Kit 2.41kg | Body material | Metal and carbon fiber materials |
| Body DOF | 4 DOF +1 DOF | ROS host controller | Jetson Orin Nano / Orin NX / Jetson Nano / Raspberry Pi 5 |
| Sub controller | STM32 robot controller | End effectors | Electric suction nozzle, metal gripper, pen holder kit |
| Camera | 0.3MP USB HD camera / Aurora930 Pro depth camera | Power solution | 12V 5A DC adapter |
| Audio / voice pickup | WonderEcho Pro AI voice box | Control methods | App control, PC software control, wireless controller control, mouse control |
| Operating system | Ubuntu 22.04.5 LTS + ROS 2 Humble | Software | PC host software + iOS/Android app |
| Communication method | USB / WiFi / Ethernet | Programming tools | Python / C / C++ / JavaScript |
| Storage | 64G TF card (Jetson Nano/Raspberry Pi 5), 128G SSD (Orin Nano/Orin NX) | Servo model | HTS-30HM magnetic coding bus servo / LFD-01M anti-stall servo |
| Included materials | Development manual, tutorials, ROS 2 source code, system images, supporting software | Optional accessories | Mecanum wheel chassis, tank chassis, motorized sliding rail, electrical conveyor belt |
| Packing weight and dimensions | Robotic arm (Ultimate Kit): 2.7kg, 435×308×170mm Mecanum wheel chassis: 1.8kg, 387×300×150mm Tank chassis: 1.65kg, 390×305×165mm Motorized sliding rail: 4kg, 765×247×125 mm Electrical conveyor belt: 4.5kg, 780×300×120mm | ||


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JetMax2027 is a desktop AI robotic arm designed for education. Powered by a Jetson or Raspberry Pi 5 controller, an STM32 multi-function controller, and magnetic encoder bus servos, it features a 3D depth camera and the WonderEcho Pro AI voice box. By integrating advanced inverse kinematics and mainstream algorithm frameworks, it enables 3D environmental perception, dynamic target tracking, and intelligent grasping. Deployed with multimodal large AI models and the OpenClaw agent, JetMax bridges multi-dimensional perception with physical execution. Fully supporting Python programming and backed by comprehensive courses, it redefines embodied intelligence development.
Empowered by high-performance hardware and multi-dimensional sensors combined with multimodal large models, JetMax achieves next-level human-robot collaboration and intelligent task execution.
Integrating vision, voice, and text AI models, JetMax intelligently perceives surroundings, plans actions, and executes tasks. This unlocks advanced Embodied AI applications, including emotion perception, scene understanding, target tracking, and AI-driven navigation.
Equipped with an advanced 3D depth camera, JetMax generates real-time depth maps and point cloud data to precisely capture spatial depth information, enabling accurate distance measurement, edge detection, and versatile visual applications.
With a modular end-effector design, JetMax allows you to easily switch between the electric suction nozzle, metal gripper, and pen holder kit, effortlessly adapting to diverse operational tasks and AI applications.

JetMax features an industrial-grade CNC linkage mechanism with carbon fiber rods, drastically reducing structural backlash. Integrated with 24 precision bearings, it eliminates transmission gaps, ensuring high rigidity and repeatability for XYZ 3D spatial movements.
JetMax features a dual-brain architecture combining an ROS controller and an STM32 controller. Equipped with 12-bit magnetic encoder bus servos, a 3D depth camera, an AI voice box, and a 7-inch HD touchscreen, it provides robust hardware support for advanced secondary development.
A Professional Embodied AI Development Platform Engineered for ROS Developers



Integrated with multimodal AI models, JetMax supports both online API integration and offline local deployment, ensuring stable operation even without internet access. By fusing data from the 3D depth camera, and AI voice module, JetMax forms a complete perception-decision-action loop to drive advanced embodied AI applications.



JetMax accurately parses voice commands. Using its depth camera, it detects the color, shape, and spatial distance of targets, autonomously planning paths and grasping sequences for 3D intelligent sorting.
Powered by deep visual cognition, JetMax identifies environmental elements and object attributes, providing human-like voice feedback.
Leveraging large visual models for scene analysis, JetMax extracts environmental info, locks target coordinates, and uses the KCF algorithm for dynamic tracking.
Call the underlying YOLO vision interface via voice commands for real-time target detection and autonomous sorting.
By parsing natural language commands through LLMs, JetMax autonomously plans movement paths to complete creative tasks like drawing.
Combining environmental and object data, JetMax uses LLMs for multimodal reasoning to output actionable decisions.
Using large visual models to recognize text and formulas, JetMax completes logical reasoning and calculations, driving physical actions.
Issue commands in your words anytime via apps like Telegram, turning your daily communication tool into a dedicated robot console.
Following your commands, JetMax scans the environment in real time, extracts feature information, and generates status reports.
When encountering unexpected anomalies, JetMax thinks autonomously and quickly executes remedial strategies.
Provide a task goal, and JetMax automatically deduces and generates specific action steps to handle complex scenarios.
If the sorting area changes, JetMax triggers a self-healing mechanism to replan its route and try again.
The system records historical targets and scenes. For similar tasks, JetMax reuses past strategies for precise execution.






JetMax's modular hardware architecture supports suspended mobile chassis for transitioning from fixed to mobile grasping. It also seamlessly integrates with motorized sliding rails and electrical conveyor belts, enabling you to build AI automation simulation scenes for diverse intelligent projects.
























| Name | Parameters | Brand | Hiwonder |
|---|---|---|---|
| Product name | JetMax large AI model open-source robotic arm | Dimensions | 490 × 165 × 252 mm |
| Product weight | Starter Kit 1.90kg, Standard Kit 1.91kg, Advanced Kit 1.95kg, Ultimate Kit 2.41kg | Body material | Metal and carbon fiber materials |
| Body DOF | 4 DOF +1 DOF | ROS host controller | Jetson Orin Nano / Orin NX / Jetson Nano / Raspberry Pi 5 |
| Sub controller | STM32 robot controller | End effectors | Electric suction nozzle, metal gripper, pen holder kit |
| Camera | 0.3MP USB HD camera / Aurora930 Pro depth camera | Power solution | 12V 5A DC adapter |
| Audio / voice pickup | WonderEcho Pro AI voice box | Control methods | App control, PC software control, wireless controller control, mouse control |
| Operating system | Ubuntu 22.04.5 LTS + ROS 2 Humble | Software | PC host software + iOS/Android app |
| Communication method | USB / WiFi / Ethernet | Programming tools | Python / C / C++ / JavaScript |
| Storage | 64G TF card (Jetson Nano/Raspberry Pi 5), 128G SSD (Orin Nano/Orin NX) | Servo model | HTS-30HM magnetic coding bus servo / LFD-01M anti-stall servo |
| Included materials | Development manual, tutorials, ROS 2 source code, system images, supporting software | Optional accessories | Mecanum wheel chassis, tank chassis, motorized sliding rail, electrical conveyor belt |
| Packing weight and dimensions | Robotic arm (Ultimate Kit): 2.7kg, 435×308×170mm Mecanum wheel chassis: 1.8kg, 387×300×150mm Tank chassis: 1.65kg, 390×305×165mm Motorized sliding rail: 4kg, 765×247×125 mm Electrical conveyor belt: 4.5kg, 780×300×120mm | ||


No reviews yet. Be the first to share your experience!
For more discussion Click Here
Discover More In:
Category: View all Robotic Arms
Complete el siguiente formulario y nuestro equipo se pondrá en contacto con usted para ofrecerle precios por volumen.
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