Multitree Z1 — Next Generation Advanced Humanoid Robot
The Multitree Z1 is a compact, AI-driven humanoid robot designed for research, development, and next-generation robotics applications able to seamlessly co-exist with humans. With dexterous manipulation, human-like mobility, and a high-performance AI computing core, the Z1 serves as an ideal platform for labs, universities, and innovators exploring the future of human-robot collaboration.
🤖 Key Features
- Human-like design — standing approx. 132 cm tall with balanced mobility and dexterity.
- Powerful AI core — onboard computing (up to 70 TOPS) enabling advanced vision, perception, and decision-making.
- Dexterous hands — multi-DOF robotic hands capable of grasping, holding, and manipulating real-world objects.
- Agile locomotion — bipedal walking, squatting, turning, speaking and balancing in human environments.
- Expandable platform — designed for AI, robotics, and human-interaction research with open programming capabilities.
📐 Technical Specifications
| Metric |
Value |
| Height |
~132cm (4′1″) |
| Weight |
~35–44 kg |
| Degrees of Freedom |
~44 DOF (including dexterous hands) |
| Hand Capability |
Multi-finger grasping & manipulation |
| Computing Power |
Up to 70 TOPS AI performance |
| Battery Runtime |
3–4 hours (typical operation) |
| Connectivity |
WiFi 6, Bluetooth, optional 4G/5G modules |
⚙️ Applications
- Research & Education — hands-on humanoid robotics platform for universities and labs.
- Human-robot interaction — testing gestures, communication, and AI-driven behaviors.
- Industrial & service robotics — exploring automation, manipulation, and future workforce applications.
- AI development — ideal for training, reinforcement learning, and multimodal experiments.
Why Choose the Z1?
- Compact & affordable compared to larger humanoids, but powerful enough for real research.
- Cutting-edge AI integration for computer vision, speech, and motion planning.
- Open platform with programmability and expansion for custom projects.
- Built for the future — a stepping stone toward human-robot collaboration at scale.
