Science – Page 27

EV Battery Disassembly: A Smarter Approach with Robotics

20.03.2026 by ebaster

The convergence of established automation frameworks with emergent agentic AI, open-world vision, and advanced motion planning suggests a shift toward systems capable of navigating complexity-a synthesis where resilience isn’t measured by longevity, but by adaptive capacity within inevitable decay.

Researchers have developed a collaborative robotic platform that uses artificial intelligence to improve the efficiency and precision of electric vehicle battery disassembly.

A Sense of Touch: Robotic Hands Get a Grip on Slip Detection

20.03.2026 by ebaster

A bio-inspired tactile sensing system processes signals from 24 channels to discern slip onset-determined by contact status-while accounting for material properties and sliding velocities to maximize the extraction of relevant information.

Researchers have developed a bio-inspired tactile system that allows robotic hands to reliably recognize contact and prevent objects from slipping, enhancing dexterity and reliability.

Visualizing the Invisible: How AI is Empowering Scientific Discovery

20.03.2026 by ebaster

The SAIL framework embodies an iterative process-beginning with a foundational prototype, expanding through integrated features, and culminating in refined standardization-where each stage demands rigorous verification before proceeding, acknowledging that even the most carefully constructed logic remains subject to cyclical correction and adaptation.

A new framework is enabling researchers to build interactive visualization tools without needing to be coding experts, accelerating insights from complex data.

Teaching Robots to Connect: Empathetic Motion for Better Learning

20.03.2026 by ebaster

New research demonstrates how integrating reasoning and advanced AI models can enable educational robots to generate natural, empathetic co-speech gestures that improve human-robot interaction.

AI’s Expanding Role: Navigating the Regulatory Unknown

20.03.2026 by ebaster

European Union regulations concerning artificial intelligence address privacy and security through both general provisions-applicable to all AI systems-and dedicated measures targeted at specific applications, thereby establishing a nuanced framework for responsible innovation.

A new analysis of EU regulations reveals a critical gap in addressing the unique privacy and security challenges posed by increasingly autonomous AI systems.

Meet M: The Social Robot Built for Real-World Research

20.03.2026 by ebaster

Mis represents a modular, open-source robotic platform engineered for sustained, real-world research, offering customizable physical features, a repertoire of expressive behaviors, and integrated multimodal sensing-all underpinned by ROS2 to ensure reproducible results, flexible expansion, and practical deployment in uncontrolled environments.

Researchers now have access to a new, adaptable platform designed to overcome the challenges of long-term studies in human-robot interaction.

Beyond Static Structures: The Rise of Dynamic Protein Prediction

20.03.2026 by ebaster

From 2021 to 2025, protein prediction experienced rapid advancement, evolving from foundational structure prediction models to sophisticated generative and multimodal frameworks-a progression evidenced by key literature and driven by contributions from leading institutions and companies.

A new era of artificial intelligence is transforming our ability to model proteins, moving from simple snapshots to complex simulations of their behavior and interactions.

Smarter Surgery: Charting the Future of Robotics and AI in Healthcare

20.03.2026 by ebaster

A new report details key discussions and recommendations from a workshop focused on accelerating the adoption of intelligent systems in medical practice.

The Human Edge in the Age of AI Data Science

20.03.2026 by ebaster

New research demonstrates that while artificial intelligence can significantly aid data scientists, human expertise remains vital for navigating complex, domain-specific challenges.

Robots Get a Finer Touch: Modeling Movement for Smarter Manipulation

20.03.2026 by ebaster

The framework addresses complex tasks requiring precise movement by separating high-level goal planning from detailed kinematic adjustments, achieved through a bi-level approach where a [latex]Bi-Level RVQ-VAE[/latex] learns hierarchical action representations and the [latex]KineVLA[/latex] framework facilitates bi-level generation for kinematics-rich scenarios.

New research introduces a framework that empowers robots to understand and execute complex actions with greater precision by explicitly modeling the underlying kinematics of movement.