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Seeing is Understanding: Robots Learn to Interact with the World Through Language

23.02.2026 by ebaster

The system iteratively refines its understanding of a scene through interactive perception, where a robot evaluates observations and queries-leveraging a memory [latex]\mathcal{M}_{t}[/latex] to avoid repetition-and, when necessary, annotates images with segmented elements like push lines, keypoints, or grid patterns to inform subsequent actions [latex]a_{t}=\pi(\mathcal{M}_{t},\textbf{x}_{t},z_{t},\tilde{o}_{t})[/latex], ultimately building a contextual history [latex]S_{t}[/latex] of images and scene descriptions to enhance task efficiency.

A new framework empowers robots to manipulate objects and answer questions about their environment, even when vision is limited, by combining language understanding with enhanced visual perception.

Categories Science

Who’s Responsible When AI Fails?

23.02.2026 by ebaster

A new framework seeks to pinpoint human accountability for the actions of increasingly complex artificial intelligence systems.

Categories Science

Snapping Beams Unlock Versatile Soft Robotic Motion

23.02.2026 by ebaster

A swimming robot navigates through water using symmetrically arranged, tendon-actuated snapping structures, achieving propulsion through sequential actuation cycles and demonstrating maneuverability via asymmetric loading configurations-specifically, alternating between fixed-pinned and pinned-fixed arrangements-revealing a bio-inspired approach to underwater locomotion.

A new design leveraging spiral-shaped metamaterials allows for precise, tendon-driven control of both back-and-forth and one-way movements in soft robots.

Categories Science

The Illusion of Insight: Why Materials AI Gets It Wrong

23.02.2026 by ebaster

Machine learning models in materials science, while adept at predicting material properties from descriptors, frequently circumvent the discovery of genuine structure-property relationships by exploiting spurious correlations-such as research group affiliation or publication venue-within the training data, mirroring the “Clever Hans” effect and necessitating rigorous testing to discern whether predictive power stems from meaningful scientific insight or accidental data patterns.

Machine learning models are excelling at materials discovery, but a new analysis reveals they may be learning the wrong lessons from the data.

Categories Science

Seeing is Believing? The Ethics of AI Art and Surveillance

23.02.2026 by ebaster

This review examines how computer vision techniques are being used in tactical AI art, and whether these works effectively address the broader societal implications of increasingly pervasive surveillance technologies.

Categories Science

The Algorithmic Muse: When AI Art Reflects Our Biases

23.02.2026 by ebaster

As generative AI reshapes creative landscapes, a critical look reveals how embedded ideologies and ethical concerns are shaping-and being shaped by-the art it produces.

Categories Science

Robots Learn From Each Other: Bridging the Gap in Skill Transfer

23.02.2026 by ebaster

Embodiment grouping offers a method for offline reinforcement learning across diverse physical systems, enabling knowledge transfer despite variations in dynamics by leveraging shared representations and facilitating adaptation without explicit retraining for each new embodiment.

New research explores how robots can leverage data collected from different ‘bodies’ to accelerate learning and improve performance in complex tasks.

Categories Science

The Algorithmic Muse: How AI is Reshaping Culture

23.02.2026 by ebaster

A new wave of artificial intelligence isn’t just automating tasks-it’s subtly redefining our understanding of art, creativity, and what it means to be human.

Categories Science

Robotics Safety: A New Era of Standards

23.02.2026 by ebaster

The evolving landscape of industrial robotics demands increasingly sophisticated safety protocols, and a critical revision of ISO 10218 is set to reshape the field.

Categories Science

The Rise of the AI Agents: A Systemic Overview

23.02.2026 by ebaster

The 2025 AI Agent Index presents a detailed comparative analysis of thirty agentic AI products, assessed across six distinct categories encompassing forty-five individual metrics to reveal nuanced performance characteristics.

A new report dives deep into the capabilities and limitations of today’s most advanced AI agent systems, revealing crucial insights into their development and deployment.

Categories Science
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