3 papers
cs.DC2026
RoboECC: Multi-Factor-Aware Edge-Cloud Collaborative Deployment for VLA Models
Zihao Zheng, Hangyu Cao, Jiayu Chen +6
Vision-Language-Action (VLA) models are mainstream in embodied intelligence but face high inference costs. Edge-Cloud Collaborative (ECC) deployment offers an effective fix by easi…
cs.LG2026
DyQ-VLA: Temporal-Dynamic-Aware Quantization for Embodied Vision-Language-Action Models
Zihao Zheng, Hangyu Cao, Sicheng Tian +12
Vision-language-action (VLA) models achieve favorable task performance, yet runtime errors in closed-loop execution evolve with alternating updates of actions and observations. Exi…
cs.DC2026
ActECC: Action Chunk Temporal Harnessing for Edge-Cloud Collaborative VLA Inference System
Zihao Zheng, Sicheng Tian, Zhihao Mao +10
VLA models have emerged as the mainstream for embodied intelligence, which decouples reasoning and execution via action chunks. To enable real-time deployment of VLA models, existi…