Xiuxiu Qi — accepted AI-conference papers

2026

Continuous Vision-Language-Action Co-Learning with Semantic-Physical Alignment for Behavioral Cloning

Xiuxiu Qi, Yu Yang, Jiannong Cao, Luyao Bai, Chongshan Fan, Chengtai Cao +1

AAAI 2026technical

Language-Conditioned Manipulation (LCM) facilitates human-robot interaction via Behavioral Cloning (BC), which learns control policies from human demonstrations and serves as a cornerstone of embodied AI. Overcoming compounding errors in sequential action decisions remains a central challenge to imp

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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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