When natural disasters or extreme weather events hit, delivering aid quickly and efficiently to those affected is crucial. Humanitarian relief efforts commonly rely on the combination of trucks and ...

Incorporating multiple constraints such as task completion time, UAV payload capacity, and flight range into path optimization algorithms allows for more efficient search patterns.

Erdos, explores what researchers call autoformalization, the process of converting traditional mathematical proofs into formats machines can verify using tools such as Lean and Coq.

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

The large language model automates literature search, synthesis, and structural analysis to speed up materials discovery and ...

Abstract: As the complexity of tasks performed by multi DoFs robotic arms in domestic and industrial scenarios continues to increase, the performance requirements for trajectory planning algorithms ...