Robotics technology worth hundreds of thousands,
compressed to fit on a student's desk.
NO FACTORY · NO EXPERIENCE NEEDED · 100% FREE & OPEN-SOURCE
A student from India spent half a month and less than $100 to build an AI robot dog from scratch — featuring reinforcement learning gait control, voice interaction, and visual perception, proving that low-cost hardware combined with open-source AI can achieve high-performance quadruped robotics.
Reinforcement learning-based adaptive gait control algorithms combined with depth vision perception and multi-modal voice interaction. Built on open-source frameworks with low-cost hardware, enabling autonomous walking on complex terrain, obstacle detection and avoidance, and voice command response.
Ideal for research & education, AI technology validation, intelligent inspection, and companion interaction. The low-cost design is perfect for university labs, maker spaces, and individual developers working on quadruped robot algorithm R&D.
Total cost < $100 | 12-DOF servo joints | Depth camera vision | Microphone array voice interaction | RL gait training | Fully open-source & reproducible | ~2hr battery life