Jiangshan Liu — accepted AI-conference papers

2025

Leveraging Semantic and Geometric Information for Zero-Shot Robot-to-Human Handover

Jiangshan Liu, Wenlong Dong, Jiankun Wang, Max Q.-H. Meng

ICRA 2025

Human-robot interaction (HRI) encompasses a wide range of collaborative tasks, with handover being one of the most fundamental. As robots become more integrated into human environments, the potential for service robots to assist in handing objects to humans is increasingly promising. In robot-to-hum

Cited by 3 Source ↗Scholar ↗

2025

RTAGrasp: Learning Task-Oriented Grasping from Human Videos via Retrieval, Transfer, and Alignment

Wenlong Dong, Dehao Huang, Jiangshan Liu, Chao Tang, Hong Zhang

ICRA 2025

Task-oriented grasping (TOG) is crucial for robots to accomplish manipulation tasks, requiring the determination of TOG positions and directions. Existing methods either rely on costly manual TOG annotations or only extract coarse grasping positions or regions from human demonstrations, limiting the

Cited by 12 Source ↗Scholar ↗