Vision-language-action (VLA) models offer a promising path toward general-purpose robot manipulation. While inference latency can affect task success in a constantly evolving physical world, the relationship between latency and task success rate remains poorly understood. In this paper, we introduce VLALagBench, a comp...
Qi-Sheng Wen, Bo-Rui Xu, Hussein Amro et al.· 0 citations
VLA-HWBench is introduced, a benchmark that measures 18 open VLA models on NVIDIA Jetson AGX Thor and AMD Ryzen AI Max+ PRO 395, with a seven-stage inference breakdown, and reveals three insights that suggest low-latency edge VLAs should use few action-generation iterations, inference software should extend kernel fusi...
Bo-Rui Xu, Hong-Shi Tan, Wen-Qi Jiang et al.· 1 citation
Results show that MemForest reduces memory-freshness latency while retaining strong answer quality, and introduces MemTree, a hierarchical temporal index that organizes memory as time-ordered trees and replaces global rewrites with localized dirty-path refresh.
