Researchers have developed a novel framework that enables robots to perform emotionally resonant singing, bridging the gap between mechanical movements and authentic artistic expression.
New research suggests surprisingly few biological details dictate how the brain processes information, with implications for both neuroscience and artificial intelligence.
A new study explores how interactive robots, used in realistic learning scenarios, are boosting language acquisition and engagement for recently immigrated children.
A new benchmark assesses whether large language models can move beyond data analysis and contribute to genuine scientific discovery in complex biological systems.
A new system combines sensing and machine learning to allow robots to reliably estimate and manipulate complex, moving objects like tools and deformable parts.
A new wave of AI systems is enabling automated analysis and action in Earth observation, moving beyond traditional image processing.
Efforts to combat online abuse are inadvertently paving the way for the monitoring of intimate human-robot interactions, raising serious privacy concerns.
A new agentic system harnesses the power of large language models to dramatically improve how researchers find and utilize valuable datasets.
![The DemoBot framework addresses the challenge of robotic bimanual skill acquisition by translating single visual demonstrations into executable robot trajectories, a process achieved through a data processing module that distills human motion into structured priors and a corrective residual reinforcement learning module that refines these priors with learned corrective actions [latex]\Delta a[/latex], enabling the robot to adapt to physical dynamics not present in the initial visual data and ultimately complete the demonstrated task.](https://arxiv.org/html/2601.01651v1/x1.png)
A new framework allows robots to acquire complex manipulation skills by simply observing a single human demonstration, bridging the gap between human dexterity and robotic control.
This review explores how artificial intelligence, particularly advanced machine learning techniques, is transforming digital twin technology into powerful systems for simulation, forecasting, and autonomous operation.