Hongpeng Chen — accepted AI-conference papers

2026

GLaMP: A Grounded Language Model-Based Multi-Agent System for Long-Horizon Robotic Task Planning in Industrial Settings

Hongpeng Chen, David Navarro-Alarcon, Pai Zheng

ICRA 2026poster

This paper presents GLaMP, a grounded language model-based multi-agent framework for long-horizon robotic task planning in industrial environments. A key challenge in such tasks lies in the gap between high-level language reasoning and low-level perceptual grounding, which often leads to error accum…

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2025

Multimodal Autonomous Robotic Long-Horizon Task Planning via Embodied Language Model and Behavior Trees

Hongpeng Chen, Shimin Liu, Zhiyuan Li, David Navarro-Alarcon, Pai Zheng

IROS 2025

Enabling robotic systems to perform long-horizon manipulation planning in real-world environments based on multimodal embodied perception and comprehension remains a longstanding challenge. Recent advancements in large language models (LLMs) have spurred the development of LLM-based planners; howeve

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