4 accepted papers
Imitation learning (IL) presents a promising paradigm for enabling embodied robots to efficiently acquire human-like manipulation skills. However, prevailing methods face a persistent trade-off between motion precision and computational tractability. To resolve this fundamental challenge, this paper…
This letter presents a magnetic-based pose sensing method for magnetically driven helical robots. Unlike conventional methods that directly compute pose from magnetic field measurements, the proposed approach decouples magnetic field components caused by the helical robot's pose from the rotating ma
Tactile perception is essential for embodied agents to understand the physical attributes of objects that cannot be determined through visual inspection alone. While existing methods have made progress in visual and language modalities for physical understanding, they fail to effectively incorporate…
Generating spoken word embeddings that possess semantic information has attracted lots of research interest. Among them, Speech2vec, as one of the most influential works, has reported impressive results of surpassing Word2Vec on word similarity benchmarks. However, since their breakthrough in 2017,…