6 accepted papers
Drawing inspiration from piscine locomotion strategies, biomimetic underwater robotic systems demonstrate enhanced operational efficiency and stealth capabilities when executing target tracking missions within dynamic aquatic environments. However, challenges related to their operational speed and c
Weakly electric fish can detect and localize objects in dark and turbid environments by sensing the perturbations induced by objects in their self-generated electric field. Massive efforts have been made to develop active electrosense systems for underwater robots that can rival those of fish. Howev
Current research on undulatory propulsion robots has predominantly centered on hydrodynamic performance simulations. However, challenges such as limited mobility and difficulties in parameter identification during underwater bio-mimetic motion remain unresolved. To address these issues, this study p
Speculative decoding is a promising approach for accelerating large language models. The primary idea is to use a lightweight draft model to speculate the output of the target model for multiple subsequent timesteps, and then verify them in parallel to determine whether the drafted tokens should be…
Large-scale deep neural networks (DNNs), such as large language models, have gained immense popularity due to their outstanding performance across various tasks. However, their application in resource-constrained scenarios faces significant challenges due to the high computational costs and memory u…
To solve the interference problems of wind and wave action and load movement when switching under water surface conditions in the marine environment, a study on the water surface stability prediction of the bio-inspired undulatory fin robot is carried out. Based on the fin motion equation and fluid…