3 accepted papers
Data scaling has long remained a critical bottleneck in robot learning. For humanoid robots, human videos and motion data are abundant and widely available, offering a free and large-scale data source. Besides, the semantics related to the motions enable modality alignment and high-level robot contr…
Scene simulation in autonomous driving has gained significant attention because of its huge potential for generating customized data. However existing editable scene simulation approaches face limitations in terms of user interaction efficiency multi-camera photo-realistic rendering and external dig…
Collaborative perception can substantially boost each agent's perception ability by facilitating communication among multiple agents. However, temporal asynchrony among agents is inevitable in the real world due to communication delays, interruptions, and clock misalignments. This issue causes infor…