Abstract: Robotic imitation faces challenges due to the lack of nuanced movements when employing keyframe methods, which can potentially lead to the uncanny valley effect due to constraints in fitting ...

Data plays a crucial role in training learning-based methods for 3D point cloud registration. However, the real-world dataset is expensive to build, while rendering-based synthetic data suffers from ...

Abstract: Due to the availability of maintaining the orthogonality between transmit signals and effectively leveraging time resources, the Doppler division multiplexing (DDM) method has been widely ...