Top 10 Yahboom AI Large Model Robots to Watch in 2026

Introduction: Yahboom’s 2026 AI Large Model Robotics Upgrade

In 2026, Yahboom officially upgrades its core robotics lineup with AI Large Model capabilities, marking a major step forward in embodied intelligence, multimodal interaction, and ROS-based AI education.
Below is the complete Yahboom 2026 AI Large Model Robotics Update List, covering robotic arms, mobile robots, robot dogs, and bionic platforms—each designed for education, research, and real-world AI experimentation.

 

DOFBOT Pro

AI Large Model 3D Depth Vision Robotic Arm

DOFBOT Pro is a desktop-level AI robotic arm built for ROS education and advanced AI vision research. Powered by NVIDIA Jetson Nano / Orin Nano Super / Orin NX Super, it integrates a 6-DOF aluminum robotic arm, high-performance 3D depth camera, and AI large model reasoning.
By combining RGB-D fusion, forward & inverse kinematics, and ROS-based motion planning, DOFBOT Pro enables accurate 3D object recognition, spatial measurement, and intelligent grasping. It is ideal for robotics labs, AI vision courses, and embodied intelligence experiments.

Key strengths

Jetson-powered AI computing
3D point cloud perception & grasping
ROS + Python development
Multiplatform remote control (APP / Web / Controller)

Tutorial:

https://www.yahboom.net/study/DOFBOT-Pro

Videos:

 

ROSMASTER A1

AI Large Model ROS2 Robot with Ackerman Steering

ROSMASTER A1 is designed for autonomous driving research and ROS2 education. Its Ackerman steering chassis accurately replicates real-world vehicle motion models, making it ideal for path planning, SLAM, and navigation algorithms.

With optional depth camera, LiDAR, AI voice module, and a dual-model inference architecture, A1 separates decision-making and execution, enabling stable multimodal reasoning across vision, voice, and text.

Key strengths

Realistic Ackerman motion platform
ROS2 HUMBLE native support
Multimodal AI interaction
Flexible controller options (Raspberry Pi 5 / Jetson)

Tutorial:

https://www.yahboom.net/study/ROSMASTER-A1

Videos:


 

ROSMASTER M1

AI Large Model ROS2 Robot with Mecanum Wheels

ROSMASTER M1 is an omnidirectional embodied intelligent robot built for AI research and multimodal interaction experiments. Its Mecanum wheel chassis enables precise lateral movement, rotation, and complex trajectory control.
With multi-sensor fusion (camera, LiDAR, voice) and AI large model collaborative reasoning, M1 supports SLAM, visual recognition, path planning, and human-like interaction scenarios.

Key strengths

Omnidirectional motion control
Multi-master platform compatibility
Multimodal AI reasoning
High scalability for research

Tutorial:

https://www.yahboom.net/study/ROSMASTER-M1

Videos:


 

ROSMASTER M3 Pro

Multimodal AI Large Model ROS2 Robot

ROSMASTER M3 Pro is Yahboom’s most integrated AI robotics platform, combining Mecanum wheels, pendulum suspension, 6-DOF robotic arm, binocular depth camera, and dual TOF LiDAR.

Unlike traditional ROS robots, M3 Pro deeply integrates AI large models for semantic understanding, voice interaction, task planning, and dynamic reasoning, making it suitable for university teaching, robotics research, and advanced AI projects.

Key strengths

Full-stack ROS2 robotics platform
Multimodal perception & reasoning
AI voice and semantic interaction
Teaching-to-research scalability

Tutorial:

https://www.yahboom.net/study/ROSMASTER-M3PRO

Videos:


 

DOGZILLA S1 / S2

AI Large Model Robot Dog (ROS2)

DOGZILLA introduces AI large model intelligence into quadruped robotics. With upgraded semantic understanding, visual reasoning, and voice interaction, DOGZILLA can analyze scenes, understand commands, and plan actions dynamically.
The S2 version further enhances capabilities with LiDAR-based navigation and voice control, making it a powerful platform for embodied intelligence and service robot research.

Tutorial:

https://www.yahboom.net/study/DOGZILLA

Videos:


 

Raspbot V2

AI Large Model Robot Car for Raspberry Pi 5

Raspbot V2 is a Raspberry Pi 5–based AI vision robot car with Mecanum wheels and rich AI perception capabilities. Using OpenCV and MediaPipe, it supports object tracking, face recognition, gesture recognition, and more.
It is well suited for students, makers, and AI competition projects.

Tutorial:

https://www.yahboom.net/study/RASPBOT-V2

Videos:


 

MUTO RS

AI Large Model Hexapod Robot (ROS2)

MUTO RS is a desktop-level bionic hexapod robot featuring 18 high-torque servos, depth camera, LiDAR, and AI voice modules. Built on ROS2, it supports multi-leg motion control, SLAM, RViz simulation, and multi-robot synchronization.

Tutorial:

https://www.yahboom.net/study/Muto-RS

Videos:


 

Looking Ahead: More AI Upgrades Coming

Yahboom will continue expanding AI Large Model capabilities across existing platforms, including upcoming upgrades for DOFBOT SE and Jetson-based DOFBOT series, further strengthening its ecosystem for AI robotics education and research.

 

Conclusion

With the 2026 AI Large Model upgrade, Yahboom is redefining what educational and research robots can do—bridging hardware precision, ROS flexibility, and AI intelligence into a unified robotics platform.

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