Algorithm-Architecture Co-Design for Efficient VLA Inference via Speculative Inference and Verification
Vision-Language-Action (VLA) models have demonstrated remarkable capabilities in the field of embodied AI, but their high computational cost and limited predicted action length hinder real-time deployment. Although Dadu-Corki, a dedicated accelerator for efficient embodied AI, has been introduced, it does not exploit the inherent interaction patterns between the robot and its environment, which results in a relatively short predicted action length. We observe that robotic environments naturally alternate between active states-where precise actions are crucial-and inactive states-where actions have limited impact on task success. This insight enables a new scheduling opportunity: long-acti...
| Authors | Chunyu Qi, Zhuoran Song, Jian Weng et al. |
|---|---|
| Primary category | cs.RO |
| Published | 16 August 2026 |
| Last updated at source | 16 August 2026 |
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