High-performance bipedal robots, open-source robotic arms, servo joint modules, and full core components — a complete solution for university robotics labs, research, and competitions.
Watch the embodied AI robot in action to see its real-world performance and handling.
A compact, fully integrated body — one robot that meets all research needs in motion control, manipulation, and whole-body control.
Standardized interfaces, plug-and-play modules
Layered architecture for easy secondary development
Complete SDK and simulation environment
Supports sensors and end-effector expansion
A complete product lineup from foundational teaching to advanced research
An entry-level bipedal platform that is lightweight and portable, ideal for foundational robotics teaching and research.
An open-source modular platform supporting dual-arm manipulation — an official standard platform for RoboCup and hackathons.
An advanced humanoid platform with full-size dual arms and head vision, built for in-depth research and advanced courses.
The developer edition provides URDF and low-level motor SDK interfaces for deep customization.
Open interfaces with rich simulation environments and built-in motion control algorithms that greatly simplify programming.
Supports 1000+ Hz high-frequency control for precise motion control and real-time feedback.
Sleek black-and-white design with a metallic finish, standing just 520 mm tall and weighing only 7 kg — light enough to lift with one hand for development. With 12 degrees of freedom and a max joint torque of 16 Nm powered by the self-developed HTM-5047 joint module, it is an ideal platform for university robotics teaching.
| Standing height | 520mm |
| Weight (incl. battery) | 7kg |
| Operating voltage | 24V |
| Max payload | 15kg |
| Movement speed | 1.5m/s |
| Degrees of freedom | 12 DOF |
| Max joint torque | 16Nm |
| Joint module | Self-developed HTM-5047 |
| Control precision | Dual-encoder brushless motor, 19-bit |
| Control modes | Voltage / Torque / Velocity / Position |
| Communication protocol | FDCAN, CAN-compatible (64 bytes) |
| Main control chip | HPM5361 |
Every robot comes with a complete curriculum — from product overview and mechatronic control to ROS2 development and AI algorithms, spanning 7 course categories for a full learning path from zero to integrated engineering.
The full HighTorque component line, meeting all hardware needs for university labs, research, and competitions.
Six cross-disciplinary core courses in computer vision, embedded AI, and sensor technology, with 100+ lab projects for a complete university AI education solution.
Co-building AI embedded training labs and joint research institutes around embodied robot platforms, self-developed curricula, and motion development tools.
The LLM-based Yanshu AI supports Q&A, code debugging, and lab report grading, giving every student a 24/7 AI teaching assistant.
Integrating a Raspberry Pi 5 edge computing terminal with multi-sensor arrays for a full teaching path from basic programming to integrated development.
Complete SDK and API docs
Firmware and software downloads
Professional technical support
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