6 accepted papers
Central nervous system (CNS) drug discovery is constrained by an immense and sparse chemical search space. Meanwhile, molecules that simultaneously achieve brain penetration, target efficacy, and synthesizability are extremely scarce. However, existing generative models rarely couple rigorous multi-
Large language models deployed as autonomous agents face critical memory limitations, lacking selective forgetting mechanisms that lead to either catastrophic forgetting at context boundaries or information overload within them. While human memory naturally balances retention and forgetting through…
Existing image fusion methods face difficulties in adapting to unseen fusion tasks and have limitations in balancing semantic information with pixel-level details. This limitation can be attributed to three key challenges: (1) the lack of a unified, task-agnostic optimization objective; (2) the inhe
This letter presents a dual-modal adaptive gripper (DMAG) that addresses the persistent trilemma in robotic grasping among shape adaptability, high load capacity, and environmental resilience. By introducing a temporally decoupled “conform-then-lock” paradigm, the DMAG separates geometric conformati
The flexible gripper exhibits limited load capacity while possessing dexterity and adaptability to complex environments. Conversely, the thermally-driven variable stiffness gripper boasts high load capacity but suffers from slow response times. This study presents a multifunctional flexible gripper
Small soft amphibious robots have the potential to be used in the exploration of underwater pipelines, surface defect detection of underwater equipment, and underwater biological observations. In this study, we developed a small electromagnetically driven soft amphibious robot with inchworm gait mot