Hanqian Luo — accepted AI-conference papers

2026

Semantic-Aware Behavior Optimization With Safety Reinforcement Feedback for Language-Conditioned Manipulation

Xiuxiu Qi, Jiannong Cao, Julie A. McCann, Chongshan Fan, Hanqian Luo, Hongpeng Wang

RA-L 2026

Language-conditioned manipulation (LCM) couples vision, language, and control to enable natural instruction following, making it a promising direction in embodied AI research. Researchers have combined imitation learning (IL) with reinforcement learning (RL), where IL provides sample-efficient initi

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2025

LAMPS: A Novel Robot Generalization Framework for Learning Adaptive Multi-Periodic Skills

Zezhi Liu, Hanqian Luo, Xiao Liang, Yongchun Fang

IROS 2025

Learning from Demonstrations (LfD) methods are applied to transfer human skills to robots from expert demonstrations, enabling them to perform complex tasks. However, existing methods often struggle to handle such long-horizon human skills as cleaning or wiping stains on the surface, which involve m

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