Time:2026-04-26
Source:lama


Focused on K–12 artificial intelligence education

Aelos LM integrates large language models and large-scale vision model technologies, supports multi-sensor collaboration, and can be applied to scenarios such as intelligent interaction, task execution, experimental training, and knowledge learning. It helps students progress from theoretical understanding to hands-on practice, master core AI skills, and connect with future industry demands.

Large Language Models, Human–Computer Interaction,

Intelligent Voice Control

Integrated with iFLYTEK Spark and Tongyi Qianwen, it supports voice commands to directly drive robot actions. Through human–computer dialogue, it enables understanding of AI principles, making programming and interaction more aligned with real-world scenarios.

Embodied sensors with flexible expansion for intelligent sensing

and recognition

Featuring a built-in magnetic expansion interface and Bluetooth microphone support, it can flexibly connect up to 12 sensors as needed for different scenarios—enabling deeper exploration of large models and embodied AI, while delivering a rich and versatile programming experience.

Knowledge base Q&A: ask anything, get instant answers, and expand your knowledge

Integrating multi-domain knowledge bases with generative AI, it offers academic support and concept explanations—serving as an all-in-one mentor for students exploring AI.

Self-Stabilizing Gait Algorithm, Innovative Breakthroughs, Leading the Future

Dual Computing Systems, Empowering Future Education

Equipped with an STM32 and Raspberry Pi CM5 dual computing system, it supports complex algorithm execution and multithreaded task processing, meeting the high-performance computing requirements for scenario development and project-based practice.

Block-Based Programming + Code Programming,

Meeting Diverse Development Needs

Aelos LM features visual block-based programming, enabling users to assign various functions to Aelos by assembling blocks. It also supports multi-language development environments, including Python, catering to students with varying programming backgrounds.

Shape the future — It's all in your grasp!

Ergonomically designed for a comfortable grip, with real-time on-screen mode display for more efficient teaching operations.

Education Service System

Full process services help teaching be implemented effectively.

Technical Specifications

Size346mm × 224mm × 118mm
Weight1.73KG
MaterialAluminium alloy + PC/ABS plastic
Control MethodSupports 2.4G group control
Gait AlgorithmTwo gait algorithms:
• Slow walking: 3cm/s
• Fast walking: 10cm/s
ProcessorHigh-performance STM32 core
128M memory card with overload protection
MPU6050 altitude detection
Development PlatformRaspberry Pi CM 5
Battery7.4V, 3200mAh
SensorsBluetooth microphone
Built-in geomagnetic sensor
Head & chest cameras
Two magnetic sensor interfaces on front chest
ControlGamepad control
2.4G connectivity
Gamepad transmission frequency can be modified
Programming PlatformCompatible with Aelose du (Mac & PC), Linux
PC Programming MethodAelos edu: block-based programming & pure Python code
Development LanguageLua / Python3
Degrees of Freedom17
Steering Gear17 high-torque servo motors
Motion range: 180°
Accuracy: 1°
Speed: 461°/s
Noise: 40–50dB
Supporting Courses80 class hours
• Intermediate: 40 hours
• Advanced: 40 hours