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QingMiao Liang

2 accepted papers

2026

DyRef: Dynamic Reflection Framework Via Graph-Based Complexity for Robotic Planning

ICRA 2026poster

Robotic planning tasks often involve diverse complexities, which make adaptive improvement through reflection particularly challenging. Existing LLM-based approaches typically rely on fixed routines, lacking the ability to adjust to task-specific complexity and often leading to redundant reflections…

Cited by 0Scholar
2025

FCRF: Flexible Constructivism Reflection for Long-Horizon Robotic Task Planning with Large Language Models

IROS 2025

Autonomous error correction is critical for domestic robots to achieve reliable execution of complex long-horizon tasks. Prior work has explored self-reflection in Large Language Models (LLMs) for task planning error correction; however, existing methods are constrained by inflexible self-reflection

Cited by 0SourcecodeScholar