USC Studies Aim to Advance Self-Driving Cars, Transform Robot “Brains” and Understand Workplace AI Use
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Titled “World Models for Next Generation Autonomous Driving Policy Learning,” one of Wang’s projects focuses on making autonomous vehicles capable of navigating safely anywhere in the world by teaching them to reason through unfamiliar and extreme road scenarios. His second project, “Reasoning in Motion: Dynamic Adaptation and Intelligent Execution of Large Behavior Models,” focuses on developing humanoid robots that can learn and adapt in real time through daily interactions and feedback within home environments. ...
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By teaching AI to understand environmental context, such as realizing that a basketball rolling into the street likely means a child is close behind, the research aims to create self-driving systems that can navigate extreme “out-of-distribution” scenarios safely anywhere in the world, without hitting obstacles, coming to a dead stop or encountering scenarios they have not seen. ...
See the full story here: https://www.isi.edu/news/85440/usc-studies-aim-to-advance-self-driving-cars-transform-robot-brains-and-understand-workplace-ai-use/
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