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Duke University
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SHARE reduces AR user latency by 43.3%, revolutionizing how we prioritize user experience in human-robot collaboration.
fARfetch accelerates outdoor robotic inspections by 66% while slashing user frustration by two-thirds through innovative AR content adaptation.
Real-time robot feedback in augmented reality can boost task efficiency by 46% when obstructions are effectively managed.
AR's increasing integration into daily life is creating a ripe attack surface: current vision-language models struggle to detect and reason about contradictory virtual content, leaving users vulnerable to manipulation.
A unimodal LLM can effectively guide a multimodal VLM's text generation, suggesting a scalable path to enhance existing LLMs with multimodal capabilities.