
Robots Can Predict Chaotic Scenarios But Still Can't Read Human Social Cues, Cornell Study Finds
Researchers at Cornell University tested vision-language models (VLMs) for social intelligence, finding that while AI can predict the outcome of tense physical scenarios, it falls significantly short when interpreting human facial expressions and social cues — a key challenge for autonomous systems operating among people.
Source: Tech Xplore Robotics










