Changxing Liu

Towards Long-horizon Embodied Agents with Tool-Aligned Vision-Language-Action Models

This work introduces a VLA tool-family interface that exposes explicit tool selection and in-execution progress feedback, enabling efficient event-triggered agent replanning without continuous agent polling and proposes Tool-Aligned Post-Training (TAPT), which constructs invocation-aligned training units for instructio...