World-action models (WAMs) couple predictive visual modeling with action generation, typically relying on iterative denoising with a fixed denoising steps. However, manipulation tasks contain actions chunks with varying sensitivity to generation errors: critical actions require precision, while less sensitive actions a...
Rui Wang, Xiang-Yuan Wang, Dong-Lin Yang et al.· 0 citations
High-rate dense perception in dynamic environments is limited by the low update rate of RGB cameras, as rapid scene changes can occur between frames. Event cameras offer temporally dense but spatially sparse measurements, complementary to spatially dense RGB observations. Direct fusion cannot fully exploit this complem...
Tao Wan, Xiao-Shan Wu, Yi-Fei Yu et al.· 0 citations
The escalating computational demand of modern AI is increasingly constrained by the data-movement overhead of von Neumann architectures, motivating memristor-based compute-in-memory (CIM) as an energy-efficient alternative. Yet extending CIM to reliable analog computation remains difficult because practical memristor a...
Yi-Fei Yu, Ji-Chang Yang, Zi-Jian Ye et al.· npj Unconventional Computing· 0 citations
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