![The system establishes a closed-loop interaction where human vocal input is processed by integrated software and a large language model to generate dynamic gestural responses from a robotic platform, thereby influencing subsequent human behavior and completing a cycle of affective feedback driven by [latex] \text{voice} \rightarrow \text{gesture} \rightarrow \text{response} [/latex].](https://arxiv.org/html/2602.04787v1/Figures/Affective_Expression_Loop.jpg)
Researchers have developed a novel robotic platform that combines soft robotics, artificial intelligence, and puppetry principles to create more engaging and emotionally resonant human-robot interactions.
A new analysis reveals a surge in artificial intelligence research output, but finds limited evidence of increased partnerships between academia and industry.
New research explores how assistive robots can enhance independence and social inclusion for blind individuals by leading and supporting them through shared experiences like museum visits.
A new approach to artificial intelligence focuses on agents that autonomously adapt and refine their capabilities in response to changing environments.
New research reveals the crucial interaction dynamics that make AI-powered wellbeing coaches effective, focusing on the importance of user agency and collaborative dialogue.
New research demonstrates how agentic AI systems are being successfully deployed within a software company to streamline critical processes.
A new approach combines intuitive design tools and movement analysis to empower creators to craft compelling and natural robotic motions.
A new approach combines human intuition with the analytical power of artificial intelligence to pinpoint the most promising questions driving scientific progress.
![Semantic modularity within neural graphs constrains exploratory ideation, demonstrated by an inverse relationship where higher modularity [latex] Q(G_i) [/latex] predicts reduced ideational breadth [latex] \widehat{B}_i [/latex], as established through analysis of graphs with 500 nodes and utilizing 30 walk replicates per prompt-a trend statistically supported by a 95% confidence interval.](https://arxiv.org/html/2602.03068v1/x2.png)
New research demonstrates that collective creative output can arise from the simple interplay of individual memory structures and basic social interaction.
A new approach dramatically speeds up the process of finding optimal solutions by focusing on the meaning of code updates, not just the code itself.