Stanford researchers developed a low-cost robot for complex tasks using AI. For just $32,000, they built a robot capable of cooking and other dexterous activities by combining off-the-shelf parts and AI training. This approach of co-training on various tasks enables robots to quickly learn new skills, offering potential for household and advanced applications.
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Sophisticated Robots and AI: Practical Solutions and Value
Cost-Effective Robot Solutions
Sophisticated robots don’t have to be expensive. A recent study from Stanford University demonstrated that with just $32,000, they built a wheeled robot capable of cooking a three-course Cantonese meal with human supervision. By using AI, the robot was trained to autonomously perform tasks such as cooking shrimp, cleaning stains, and calling an elevator. The project kept costs low by using off-the-shelf robot parts and 3D-printed hardware.
Training and Capabilities
The robot, named Mobile ALOHA, was trained to perform seven different tasks requiring mobility and dexterity skills. It learned tasks such as rinsing a pan and giving a high five through a combination of remote operation and human-operated demonstrations. This approach allowed the robot to learn new skills relatively quickly compared to traditional AI training methods.
AI and Robotics
Applying AI techniques to robotics has shown promise in unlocking new capabilities. The combination of imitation learning and AI scalability has the potential to enable robots to handle a wide range of household tasks. The study also demonstrated that relatively cheap robot hardware can solve complex problems when combined with AI.
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