4 accepted papers
Aligning general-purpose large language models (LLMs) to downstream tasks often incurs significant training adjustment costs. Prior research has explored various avenues to enhance alignment efficiency, primarily through minimal-data training or data-driven activations to identify key attention head…
The current robotic sliding detection tasks lack an effective contextual reasoning mechanism, which leads to inaccurate decision-making in unknown environments. To address this issue, we propose MambaSlip, which leverages the advantages of large language models (LLMs) in context understanding and re
This letter presents a 5.2g ultra-lightweight air-ground vehicle capable of passive stable flying and terrestrial cruising. Such a design proposes a passive stability layout, including a single-axis rotor, film dampers, and a stabilizer bar. The advantageous synergy between the rotor and the passive
The widespread application of Unmanned Aerial Vehicles (UAVs) brings a higher demand for their interaction capabilities, highlighting the improvements in UAVs’ maneuverability and efficiency. Most existing design schemes of fully-actuated aerial vehicles have disadvantages, such as thrust offset and