K2 Bumblebee
18 000 USD
Kepler Exploration Robot Co.
The K2 Bumblebee is a compact humanoid robot by Kepler Robotics designed for research, education, and AI experimentation. It offers smooth mobility, basic manipulation abilities, and an accessible platform for developing and testing robotics technologies.
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Specifications and details:
| Availability | Prototype |
|---|---|
| Nationality | China |
| Website | https://www.gotokepler.com/home |
| Degrees of freedom, overall | 28 |
| Degrees of freedom, hands | 7 |
| Height [cm] | 175 |
| Manipulation performance | 2 |
| Navigation performance | 2 |
| Max speed (km/h) | 3 |
| Strength [kg] | 9 |
| Weight [kg] | 75 |
| Runtime pr charge (hours) | 2 |
| Safe with humans | Yes |
| CPU/GPU | Embedded ARM + small onboard GPU |
| Ingress protection | No |
| Camera resolution | 1080p |
| Connectivity | Bluetooth, USB, Wi‑Fi |
| Operating system | Linux-based control OS |
| LLM integration | External API |
| Latency glass to action | 250–450 ms |
| Motor tech | Brushless servo motors |
| Gear tech | Harmonic or planetary gears |
| Main structural material | Aluminum + plastic composites |
| Number of fingers | 5 per hand |
| Main market | Research, education, AI labs |
| Verified | Not verified |
| Walking Speed [km/h] | 5 |
| Shipping Size | 140 × 45 × 35 cm crate |
| Color | Yellow/black (Bumblebee theme) |
| Manufacturer | Kepler Exploration Robot Co. |
Description
The K2 Bumblebee is a compact humanoid robot created by Kepler Robotics for research and education. Although it has a small frame, it offers a flexible platform for learning robotics concepts. As a result, students and developers can explore real-world motion, sensing, and AI control in a safe and accessible way. Its balanced build also allows it to move confidently in indoor environments.
Because it focuses on early-stage robotics development, the K2 Bumblebee gives teams a simple but reliable tool for testing ideas. It reacts smoothly to commands, and it supports basic manipulation tasks. Therefore, researchers can evaluate their algorithms without dealing with the complexity of large industrial robots. This makes the robot especially useful for rapid prototyping and teaching.
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In addition, the K2 Bumblebee supports AI-related experimentation. Teams can train perception models, improve motion planning, or test new learning approaches directly on hardware. By doing so, they receive faster and more accurate feedback than they would from simulations alone. Consequently, they gain a clearer understanding of how their systems behave in real conditions.
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Finally, while the K2 Bumblebee is not designed for heavy automation, it still plays a valuable role in robotics development. Its approachable design shortens testing cycles, and its friendly interface encourages experimentation. Because of this, universities, research labs, and innovation hubs often choose it as a bridge between software development and applied robotics.
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