4 accepted papers
To address the leg odometry drift caused by the non-stationary foot contact, this paper introduces a novel data-driven based leg odometry technique for legged robots. By leveraging a Long Short-Term Memory (LSTM) Recurrent Neural Network (RNN), the method learns the biases in the robot’s foot contac…
Multi-modal Rumor Detection (MRD) has emerged as a crucial research hotpot due to the continuous rise in the spread of multi-modal information on the Internet. Existing studies frequently employ traditional single-classifier models, which cannot accurately classify challenging positive samples. More…
With the rapid development of social media, rumor detection on social media has become vitally crucial. Multi-modal fusion and representation play an important role in Multi-modal Rumor Detection (MRD). However, few works learn multi-modal invariant feature and discover the multi-modal class distrib…
Inspired by the agility, high efficiency, and low noise of bat flight, we propose the design of an unoccupied aerial vehicle (UAV) that can mimic the flight behaviors of bats. By adjusting the wing flapping and morphing during both upstroke and downstroke phases, bats achieve aerodynamic performance