Bringing Social Robotics to the Masses
A new, affordable robot platform powered by large language models is opening doors for researchers studying how physical form impacts human-AI trust and engagement.
Science
The Analyst Echo Chamber: Why Data Science Results Vary Wildly
New research reveals that even when given the same data, different AI-powered analysts arrive at surprisingly diverse conclusions, mirroring the inconsistencies often seen in human research.
Robots Learn by Watching: New Framework Bridges the Video-to-Action Gap
A new imitation learning approach allows robots to acquire complex manipulation skills simply by observing human demonstrations in video.
AI’s New Classroom: Transforming Science Education
Artificial intelligence is poised to reshape how we teach and learn science, but realizing its potential requires careful consideration of ethics and equity.
Robots for Life: Designing for Evolving Human Needs
A new approach to human-robot interaction prioritizes long-term relationships and adaptability over short-term tasks.
AI’s New Equation for Science Education
Artificial intelligence is poised to fundamentally change how we teach and learn science, demanding a thoughtful redesign of core learning materials.
Unwrapping How We Talk to AI
A new system offers a privacy-focused look at real-world conversations with large language models, revealing how users interact with and are affected by these powerful tools.
Beyond Training: Learning from Data’s Hidden Structure
![A novel machine learning approach constructs an approximation [latex]\sigma_n[/latex] directly within the space [latex]V_n[/latex] from data, enabling a quantifiable reconstruction error relative to the target function and circumventing traditional modeling constraints.](https://arxiv.org/html/2602.17985v1/Figures/newparadigm.jpg)
A new approach explores how algorithms can learn effectively by leveraging the underlying geometry of data, reducing the need for extensive labeled datasets.
Quadruped Teams Navigate Clutter with Adaptive Roles
![A robotic system achieves coordinated movement through a distributed planning strategy, wherein a designated leader [latex]r_3[/latex] calculates a global path towards a desired formation, while subordinate robots navigate to assigned partial goals [latex]p_2, ..., p_N[/latex], maintaining formation integrity via virtual spring and damper connections.](https://arxiv.org/html/2602.18260v1/x1.png)
Researchers have developed a new framework for coordinating groups of legged robots, allowing them to navigate complex environments with improved robustness and flexibility.
Beyond Chatbots: AI That Understands Your Academic Path
A new system combines the power of language models with structured reasoning to deliver more accurate and transparent academic advising.