Random robots are more reliable: New AI algorithm for robots consistently outperforms state-of-the-art systems

Although the current study tested the AI algorithm only on simulated robots, the researchers have developed NoodleBot for future testing of the algorithm in the real world. Credit: Northwestern University

Northwestern University engineers have developed a new artificial intelligence (AI) algorithm designed specifically for smart robotics. By helping robots rapidly and reliably learn complex skills, the new method could significantly improve the practicality—and safety—of robots for a range of applications, including self-driving cars, delivery drones, household assistants and automation.

Called Maximum Diffusion Reinforcement Learning (MaxDiff RL), the algorithm’s success lies in its ability to encourage robots to explore …
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