Abstract: This paper presents DFL-TORO, a novel Demonstration Framework for Learning Time-Optimal Robotic tasks via One-shot kinesthetic demonstration. It aims at optimizing the process of Learning ...

From its opening shot, Task carried the air of inevitability. A grieving FBI agent, a criminal haunted by his brother’s death, and a child missing in the cracks of a corrupt system. Two trajectories ...

Abstract: Advanced image fusion methods mostly prioritise high-level missions, where task interaction struggles with semantic gaps, requiring complex bridging mechanisms. In contrast, we propose to ...

ARLINGTON, Va.--(BUSINESS WIRE)--Accenture Federal Services has been awarded a Task Order of up to $1.6 billion to efficiently scale and enhance the U.S. Air Force’s multi-cloud Cloud One environment.

Over the past decades, roboticists have introduced a wide range of systems that can effectively tackle some real-world problems. Most of these robots, however, often perform poorly on tasks that they ...

Leidos has secured a task order valued at up to $454.9 million to provide Cloud One architecture and common shared services support for the Air Force. The firm-fixed-price task order, issued through ...