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Yachao Wang

2 accepted papers

2026

Supportive Relationships-Aware Hierarchical Reinforcement Learning for Efficient Ex-Situ Object Rearrangement

ICRA 2026poster

In ex-situ object rearrangement tasks within open environments, robots face significant challenges due to the increased cost of moving objects over large workspaces. To address this issue, we propose a hierarchical reinforcement learning-based approach that takes into account the supportive relation…

Cited by 0Scholar
2025

LLM-Driven Hierarchical Planning: Long-horizon Task Allocation for Multi-Robot Systems in Cross-Regional Environments

IROS 2025

Long-horizon composite task planning for multi-robot systems in cross-regional complex scenarios faces dual challenges: spatial-semantic comprehension of natural language described tasks and collaborative optimization of subtask al-location. To address these challenges, this paper proposes a progres

Cited by 1SourceScholar