3 accepted papers
Robust and accurate localization technologies are crucial for autonomous vehicles and mobile robots. Precisely perceiving the 3D environment and its semantic attributes in the real world greatly enhances the ability of these systems to perform localization tasks effectively. This paper proposes GS-L
We present Discoverse, the first unified, modular, open-source 3DGS-based simulation framework for Real2Sim2Real robot learning. It features a holistic Real2Sim pipeline that synthesizes hyper-realistic geometry and appearance of complex real-world scenarios, paving the way for analyzing and bridgin
Visuomotor imitation learning policies enable robots to efficiently acquire manipulation skills from visual demonstrations. However, as scene complexity and visual distractions increase, policies that perform well in simple settings often experience substantial performance degradation. To address th