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20242026
most citedPRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling

4 citations · 8 across the 8 of their papers we have counts for

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cs.RO2025

Simulation to Rules: A Dual-VLM Framework for Formal Visual Planning

Yilun Hao, Yongchao Chen, Chuchu Fan +1

Vision Language Models (VLMs) show strong potential for visual planning but struggle with precise spatial and long-horizon reasoning, while Planning Domain Definition Language (PDD…

cs.RO2025

Code-as-Symbolic-Planner: Foundation Model-Based Robot Planning via Symbolic Code Generation

Yongchao Chen, Yilun Hao, Yang Zhang +1

Recent works have shown great potentials of Large Language Models (LLMs) in robot task and motion planning (TAMP). Current LLM approaches generate text- or code-based reasoning cha…