Preprint Open access
StageGuard: Learning Stage Transitions for Long-Horizon Robot Tasks via Agentic Distillation
Hierarchical planning frameworks combine skills from multiple robot control policies for long-horizon task execution, where determining when to terminate the current skill and advance to the next subtask is essential. Existing approaches often rely on pre-designed completion signal checkers that are hard to obtain in r …