Why do artificial intelligence (AI) systems struggle to accurately grasp human intent despite being trained on vast amounts ...

Recent advances in space robotics have underscored the need for modeling, estimation, and control frameworks that respect the intrinsic geometry of ...

Artificial intelligence is increasingly used to integrate and analyze multiple types of data formats, such as text, images, ...

Learning later in life isn't just possible, it is important for good quality of life. It can boost memory, emotional ...

Over the past decades, roboticists have introduced a wide range of advanced systems that can move around in their ...

OpenMMReasoner emphasizes data quality and diversity over quantity, offering a new path for enterprises to build custom, high-performing AI with limited proprietary data.

The Agent-R1 framework provides a path to building more autonomous agents that can reason and use tools in unpredictable, real-world environments.

Abstract: The exponential growth in the number of Internet of Things (IoT) devices and the vast quantity of data they generate present a significant challenge to the efficacy of traditional ...

Abstract: Advancements in robotic systems aimed at improving mobility for individuals with disabilities have required more sophisticated control and navigation methods. Traditional control approaches ...