
Tech • AI • Robotics
Two small robotic ducks powered by Gemma 4 demonstrate on-device multimodal AI, combining vision, audio, and speech to interact with their environment in real time.
Two miniature bipedal robots, known as Open Duck Mini v2, showcase how advanced AI models can operate locally on small devices. Each duck integrates Gemma 4 E2B, enabling real-time reasoning and interaction without relying on cloud processing.
The robots run on distinct embedded systems: one uses a Raspberry Pi 5, while the other is powered by a NVIDIA Jetson Orin Nano. This comparison highlights how varying hardware capabilities can support on-device AI inference at different performance levels.
Equipped with microphones, cameras, and speakers, the ducks process both visual and auditory inputs. This allows them to interpret their surroundings and respond contextually, demonstrating practical multimodal AI in a compact form factor.
The system combines multiple components: Parakeet handles speech-to-text, Gemma 4 performs reasoning and language generation, and Cocoro converts responses back into speech. This creates a fully local conversational loop with minimal latency.
The robots feature LED indicators and antenna-like elements to signal states such as listening or responding. An “attention mode” visually communicates when the system is actively processing input, enhancing user interaction.
In testing, the robot successfully explained the concept of a large language model and introduced itself, demonstrating coherent, responsive dialogue. The system identifies itself as “Autumn,” reflecting its embedded AI identity.
The project builds on publicly available designs developed by Antoine Piron, emphasizing accessibility and experimentation in robotics and AI integration.
Planned developments include enabling the ducks to walk, communicate with each other, and explore environments autonomously, pushing toward collaborative, mobile AI agents.
The project illustrates how powerful multimodal AI like Gemma 4 can be embedded into small, low-cost robots, signaling a shift toward fully autonomous, locally intelligent devices.
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